diff --git a/404.html b/404.html
index 3c94c4b..7dce5c4 100644
--- a/404.html
+++ b/404.html
@@ -13,10 +13,10 @@
 <link rel="apple-touch-icon" type="image/png" sizes="76x76" href="https://egouldo.github.io/ManyEcoEvo/apple-touch-icon-76x76.png">
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="https://egouldo.github.io/ManyEcoEvo/apple-touch-icon-60x60.png">
 <script src="https://egouldo.github.io/ManyEcoEvo/deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<link href="https://egouldo.github.io/ManyEcoEvo/deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet">
-<script src="https://egouldo.github.io/ManyEcoEvo/deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
+<link href="https://egouldo.github.io/ManyEcoEvo/deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="https://egouldo.github.io/ManyEcoEvo/deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
 <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="https://egouldo.github.io/ManyEcoEvo/pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
+<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="https://egouldo.github.io/ManyEcoEvo/pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
 <meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
@@ -27,7 +27,7 @@
     <a href="https://egouldo.github.io/ManyEcoEvo/#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="https://egouldo.github.io/ManyEcoEvo/index.html">ManyEcoEvo</a>
 
@@ -82,13 +82,11 @@
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer>
diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index c315770..8e67520 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="index.html">ManyEcoEvo</a>
 
@@ -122,11 +122,11 @@ <h2 id="attribution">Attribution<a class="anchor" aria-label="anchor" href="#att
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/LICENSE.html b/LICENSE.html
index 21119a5..3eed71f 100644
--- a/LICENSE.html
+++ b/LICENSE.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>GNU General Public License • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="GNU General Public License"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="index.html">ManyEcoEvo</a>
 
@@ -219,27 +219,27 @@ <h3 id="id_17-interpretation-of-sections-15-and-16">17. Interpretation of Sectio
 <h2 id="how-to-apply-these-terms-to-your-new-programs">How to Apply These Terms to Your New Programs<a class="anchor" aria-label="anchor" href="#how-to-apply-these-terms-to-your-new-programs"></a></h2>
 <p>If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms.</p>
 <p>To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the “copyright” line and a pointer to where the full notice is found.</p>
-<div class="sourceCode" id="cb1"><pre class="sourceCode R"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="sc">&lt;</span>one line to give the program<span class="st">'s name and a brief idea of what it does.&gt;</span></span>
-<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="st">Copyright (C) &lt;year&gt;  &lt;name of author&gt;</span></span>
-<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="st">This program is free software: you can redistribute it and/or modify</span></span>
-<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="st">it under the terms of the GNU General Public License as published by</span></span>
-<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="st">the Free Software Foundation, either version 3 of the License, or</span></span>
-<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="st">(at your option) any later version.</span></span>
-<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="st">This program is distributed in the hope that it will be useful,</span></span>
-<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a><span class="st">but WITHOUT ANY WARRANTY; without even the implied warranty of</span></span>
-<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a><span class="st">MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></span>
-<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a><span class="st">GNU General Public License for more details.</span></span>
-<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a><span class="st">You should have received a copy of the GNU General Public License</span></span>
-<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a><span class="st">along with this program.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></span></code></pre></div>
+<div class="sourceCode" id="cb1"><pre class="sourceCode R"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="sc">&lt;</span>one line to give the program<span class="st">'s name and a brief idea of what it does.&gt;</span></span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="st">Copyright (C) &lt;year&gt;  &lt;name of author&gt;</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a></span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="st">This program is free software: you can redistribute it and/or modify</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="st">it under the terms of the GNU General Public License as published by</span></span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="st">the Free Software Foundation, either version 3 of the License, or</span></span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a><span class="st">(at your option) any later version.</span></span>
+<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a></span>
+<span id="cb1-9"><a href="#cb1-9" tabindex="-1"></a><span class="st">This program is distributed in the hope that it will be useful,</span></span>
+<span id="cb1-10"><a href="#cb1-10" tabindex="-1"></a><span class="st">but WITHOUT ANY WARRANTY; without even the implied warranty of</span></span>
+<span id="cb1-11"><a href="#cb1-11" tabindex="-1"></a><span class="st">MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></span>
+<span id="cb1-12"><a href="#cb1-12" tabindex="-1"></a><span class="st">GNU General Public License for more details.</span></span>
+<span id="cb1-13"><a href="#cb1-13" tabindex="-1"></a></span>
+<span id="cb1-14"><a href="#cb1-14" tabindex="-1"></a><span class="st">You should have received a copy of the GNU General Public License</span></span>
+<span id="cb1-15"><a href="#cb1-15" tabindex="-1"></a><span class="st">along with this program.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></span></code></pre></div>
 <p>Also add information on how to contact you by electronic and paper mail.</p>
 <p>If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode:</p>
-<div class="sourceCode" id="cb2"><pre class="sourceCode R"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="sc">&lt;</span>program<span class="sc">&gt;</span>  <span class="fu">Copyright</span> (C) <span class="sc">&lt;</span>year<span class="sc">&gt;</span>  <span class="er">&lt;</span>name of author<span class="sc">&gt;</span></span>
-<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>This program comes with ABSOLUTELY NO WARRANTY; <span class="cf">for</span> details type <span class="st">'show w'</span>.</span>
-<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>This is free software, and you are welcome to redistribute it</span>
-<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a>under certain conditions; type <span class="st">'show c'</span> <span class="cf">for</span> details.</span></code></pre></div>
+<div class="sourceCode" id="cb2"><pre class="sourceCode R"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a><span class="sc">&lt;</span>program<span class="sc">&gt;</span>  <span class="fu">Copyright</span> (C) <span class="sc">&lt;</span>year<span class="sc">&gt;</span>  <span class="er">&lt;</span>name of author<span class="sc">&gt;</span></span>
+<span id="cb2-2"><a href="#cb2-2" tabindex="-1"></a>This program comes with ABSOLUTELY NO WARRANTY; <span class="cf">for</span> details type <span class="st">'show w'</span>.</span>
+<span id="cb2-3"><a href="#cb2-3" tabindex="-1"></a>This is free software, and you are welcome to redistribute it</span>
+<span id="cb2-4"><a href="#cb2-4" tabindex="-1"></a>under certain conditions; type <span class="st">'show c'</span> <span class="cf">for</span> details.</span></code></pre></div>
 <p>The hypothetical commands <code>show w</code> and <code>show c</code> should show the appropriate parts of the General Public License. Of course, your program’s commands might be different; for a GUI interface, you would use an “about box”.</p>
 <p>You should also get your employer (if you work as a programmer) or school, if any, to sign a “copyright disclaimer” for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see &lt;<a href="http://www.gnu.org/licenses/" class="external-link uri">http://www.gnu.org/licenses/</a>&gt;.</p>
 <p>The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read &lt;<a href="http://www.gnu.org/philosophy/why-not-lgpl.html" class="external-link uri">http://www.gnu.org/philosophy/why-not-lgpl.html</a>&gt;.</p>
@@ -251,11 +251,11 @@ <h2 id="how-to-apply-these-terms-to-your-new-programs">How to Apply These Terms
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
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+++ b/articles/analysis.html
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+<link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -133,13 +133,11 @@ <h3 id="specification-curves">Specification Curves<a class="anchor" aria-label="
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
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-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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index df1f522..3589498 100644
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+<link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
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@@ -29,7 +29,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -226,13 +226,11 @@ <h3 id="box-cox-transforming-deviation-from-meta-analytic-mean">Box-cox transfor
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/articles/index.html b/articles/index.html
index ab3218d..855713b 100644
--- a/articles/index.html
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@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -50,7 +50,7 @@
 
     <div class="section ">
       <h3>All vignettes</h3>
-      <p class="section-desc"></p>
+      <div class="section-desc"></div>
 
       <dl><dt><a href="analysis.html">Analysing Many-Analyst Data</a></dt>
         <dd>
@@ -63,11 +63,11 @@ <h3>All vignettes</h3>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/articles/multiple_datasets.html b/articles/multiple_datasets.html
index f39bebe..f689d5d 100644
--- a/articles/multiple_datasets.html
+++ b/articles/multiple_datasets.html
@@ -14,10 +14,10 @@
 <link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png">
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
+<link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
 <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Scaling Up: working with multiple subsets or multiple datasets">
+<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Scaling Up: working with multiple subsets or multiple datasets">
 <meta property="og:description" content="ManyEcoEvo">
 <meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
@@ -29,7 +29,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -119,13 +119,11 @@ <h3 id="creating-data-subsets-based-on-various-exclusion-principles">Creating da
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer>
diff --git a/authors.html b/authors.html
index 8be6e98..a3c4071 100644
--- a/authors.html
+++ b/authors.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="index.html">ManyEcoEvo</a>
 
@@ -89,11 +89,11 @@ <h2 id="citation">Citation</h2>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/deps/bootstrap-5.2.2/bootstrap.bundle.min.js b/deps/bootstrap-5.2.2/bootstrap.bundle.min.js
deleted file mode 100644
index 1d13886..0000000
--- a/deps/bootstrap-5.2.2/bootstrap.bundle.min.js
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-  * Copyright 2011-2022 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
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J,Z="x"===y?gt:bt,tt="x"===y?mt:_t,et=A[w],it="y"===w?"height":"width",nt=et+m[Z],st=et-m[tt],ot=-1!==[gt,bt].indexOf(_),rt=null!=(J=null==x?void 0:x[w])?J:0,at=ot?nt:et-E[it]-T[it]-rt+O.altAxis,lt=ot?et+E[it]+T[it]-rt-O.altAxis:st,ct=f&&ot?function(t,e,i){var n=ae(t,e,i);return n>i?i:n}(at,et,lt):ae(f?at:nt,et,f?lt:st);A[w]=ct,k[w]=ct-et}e.modifiersData[n]=k}},requiresIfExists:["offset"]};function $e(t,e,i){void 0===i&&(i=!1);var n,s,o=zt(e),r=zt(e)&&function(t){var e=t.getBoundingClientRect(),i=Xt(e.width)/t.offsetWidth||1,n=Xt(e.height)/t.offsetHeight||1;return 1!==i||1!==n}(e),a=ie(e),l=Gt(t,r,i),c={scrollLeft:0,scrollTop:0},h={x:0,y:0};return(o||!o&&!i)&&(("body"!==Wt(e)||Ee(a))&&(c=(n=e)!==Bt(n)&&zt(n)?{scrollLeft:(s=n).scrollLeft,scrollTop:s.scrollTop}:we(n)),zt(e)?((h=Gt(e,!0)).x+=e.clientLeft,h.y+=e.clientTop):a&&(h.x=Ae(a))),{x:l.left+c.scrollLeft-h.x,y:l.top+c.scrollTop-h.y,width:l.width,height:l.height}}function We(t){var e=new Map,i=new Set,n=[];function s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var Be={placement:"bottom",modifiers:[],strategy:"absolute"};function Fe(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function ze(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?Be:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},Be,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){var s="function"==typeof i?i(a.options):i;d(),a.options=Object.assign({},o,a.options,s),a.scrollParents={reference:Ft(t)?Ce(t):t.contextElement?Ce(t.contextElement):[],popper:Ce(e)};var r,c,u=function(t){var e=We(t);return $t.reduce((function(t,i){return t.concat(e.filter((function(t){return t.phase===i})))}),[])}((r=[].concat(n,a.options.modifiers),c=r.reduce((function(t,e){var i=t[e.name];return t[e.name]=i?Object.assign({},i,e,{options:Object.assign({},i.options,e.options),data:Object.assign({},i.data,e.data)}):e,t}),{}),Object.keys(c).map((function(t){return c[t]}))));return a.orderedModifiers=u.filter((function(t){return t.enabled})),a.orderedModifiers.forEach((function(t){var e=t.name,i=t.options,n=void 0===i?{}:i,s=t.effect;if("function"==typeof s){var o=s({state:a,name:e,instance:h,options:n});l.push(o||function(){})}})),h.update()},forceUpdate:function(){if(!c){var t=a.elements,e=t.reference,i=t.popper;if(Fe(e,i)){a.rects={reference:$e(e,oe(i),"fixed"===a.options.strategy),popper:Jt(i)},a.reset=!1,a.placement=a.options.placement,a.orderedModifiers.forEach((function(t){return a.modifiersData[t.name]=Object.assign({},t.data)}));for(var n=0;n<a.orderedModifiers.length;n++)if(!0!==a.reset){var s=a.orderedModifiers[n],o=s.fn,r=s.options,l=void 0===r?{}:r,d=s.name;"function"==typeof o&&(a=o({state:a,options:l,name:d,instance:h})||a)}else a.reset=!1,n=-1}}},update:(s=function(){return new Promise((function(t){h.forceUpdate(),t(a)}))},function(){return r||(r=new Promise((function(t){Promise.resolve().then((function(){r=void 0,t(s())}))}))),r}),destroy:function(){d(),c=!0}};if(!Fe(t,e))return h;function d(){l.forEach((function(t){return t()})),l=[]}return h.setOptions(i).then((function(t){!c&&i.onFirstUpdate&&i.onFirstUpdate(t)})),h}}var qe=ze(),Re=ze({defaultModifiers:[me,Me,pe,Rt]}),Ve=ze({defaultModifiers:[me,Me,pe,Rt,je,Se,He,he,Pe]});const Ke=Object.freeze(Object.defineProperty({__proto__:null,popperGenerator:ze,detectOverflow:Le,createPopperBase:qe,createPopper:Ve,createPopperLite:Re,top:gt,bottom:mt,right:_t,left:bt,auto:vt,basePlacements:yt,start:wt,end:At,clippingParents:Et,viewport:Tt,popper:Ct,reference:Ot,variationPlacements:xt,placements:kt,beforeRead:Lt,read:Dt,afterRead:St,beforeMain:It,main:Nt,afterMain:Pt,beforeWrite:jt,write:Mt,afterWrite:Ht,modifierPhases:$t,applyStyles:Rt,arrow:he,computeStyles:pe,eventListeners:me,flip:Se,hide:Pe,offset:je,popperOffsets:Me,preventOverflow:He},Symbol.toStringTag,{value:"Module"})),Qe="dropdown",Xe="ArrowUp",Ye="ArrowDown",Ue="click.bs.dropdown.data-api",Ge="keydown.bs.dropdown.data-api",Je="show",Ze='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',ti=`${Ze}.show`,ei=".dropdown-menu",ii=p()?"top-end":"top-start",ni=p()?"top-start":"top-end",si=p()?"bottom-end":"bottom-start",oi=p()?"bottom-start":"bottom-end",ri=p()?"left-start":"right-start",ai=p()?"right-start":"left-start",li={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},ci={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class hi extends z{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=Q.next(this._element,ei)[0]||Q.prev(this._element,ei)[0]||Q.findOne(ei,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return li}static get DefaultType(){return ci}static get NAME(){return Qe}toggle(){return this._isShown()?this.hide():this.show()}show(){if(l(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!P.trigger(this._element,"show.bs.dropdown",t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))P.on(t,"mouseover",h);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Je),this._element.classList.add(Je),P.trigger(this._element,"shown.bs.dropdown",t)}}hide(){if(l(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!P.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))P.off(t,"mouseover",h);this._popper&&this._popper.destroy(),this._menu.classList.remove(Je),this._element.classList.remove(Je),this._element.setAttribute("aria-expanded","false"),B.removeDataAttribute(this._menu,"popper"),P.trigger(this._element,"hidden.bs.dropdown",t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Qe.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===Ke)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:o(this._config.reference)?t=r(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const e=this._getPopperConfig();this._popper=Ve(t,this._menu,e)}_isShown(){return this._menu.classList.contains(Je)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return ri;if(t.classList.contains("dropstart"))return ai;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ni:ii:e?oi:si}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(B.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=Q.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>a(t)));i.length&&b(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=Q.find(ti);for(const i of e){const e=hi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Xe,Ye].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ze)?this:Q.prev(this,Ze)[0]||Q.next(this,Ze)[0]||Q.findOne(Ze,t.delegateTarget.parentNode),o=hi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}P.on(document,Ge,Ze,hi.dataApiKeydownHandler),P.on(document,Ge,ei,hi.dataApiKeydownHandler),P.on(document,Ue,hi.clearMenus),P.on(document,"keyup.bs.dropdown.data-api",hi.clearMenus),P.on(document,Ue,Ze,(function(t){t.preventDefault(),hi.getOrCreateInstance(this).toggle()})),g(hi);const di=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",ui=".sticky-top",fi="padding-right",pi="margin-right";class gi{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,fi,(e=>e+t)),this._setElementAttributes(di,fi,(e=>e+t)),this._setElementAttributes(ui,pi,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,fi),this._resetElementAttributes(di,fi),this._resetElementAttributes(ui,pi)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&B.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=B.getDataAttribute(t,e);null!==i?(B.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of Q.find(t,this._element))e(i)}}const mi="show",_i="mousedown.bs.backdrop",bi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},vi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class yi extends F{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return bi}static get DefaultType(){return vi}static get NAME(){return"backdrop"}show(t){if(!this._config.isVisible)return void m(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(mi),this._emulateAnimation((()=>{m(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(mi),this._emulateAnimation((()=>{this.dispose(),m(t)}))):m(t)}dispose(){this._isAppended&&(P.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),P.on(t,_i,(()=>{m(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const wi=".bs.focustrap",Ai="backward",Ei={autofocus:!0,trapElement:null},Ti={autofocus:"boolean",trapElement:"element"};class Ci extends F{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return Ei}static get DefaultType(){return Ti}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),P.off(document,wi),P.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),P.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,P.off(document,wi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=Q.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===Ai?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ai:"forward")}}const Oi="hidden.bs.modal",xi="show.bs.modal",ki="modal-open",Li="show",Di="modal-static",Si={backdrop:!0,focus:!0,keyboard:!0},Ii={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class Ni extends z{constructor(t,e){super(t,e),this._dialog=Q.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new gi,this._addEventListeners()}static get Default(){return Si}static get DefaultType(){return Ii}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||P.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(ki),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(P.trigger(this._element,"hide.bs.modal").defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(Li),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){for(const t of[window,this._dialog])P.off(t,".bs.modal");this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new yi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ci({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=Q.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(Li),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,P.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){P.on(this._element,"keydown.dismiss.bs.modal",(t=>{if("Escape"===t.key)return this._config.keyboard?(t.preventDefault(),void this.hide()):void this._triggerBackdropTransition()})),P.on(window,"resize.bs.modal",(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),P.on(this._element,"mousedown.dismiss.bs.modal",(t=>{P.one(this._element,"click.dismiss.bs.modal",(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(ki),this._resetAdjustments(),this._scrollBar.reset(),P.trigger(this._element,Oi)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(P.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(Di)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(Di),this._queueCallback((()=>{this._element.classList.remove(Di),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Ni.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}P.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),P.one(e,xi,(t=>{t.defaultPrevented||P.one(e,Oi,(()=>{a(this)&&this.focus()}))}));const i=Q.findOne(".modal.show");i&&Ni.getInstance(i).hide(),Ni.getOrCreateInstance(e).toggle(this)})),q(Ni),g(Ni);const Pi="show",ji="showing",Mi="hiding",Hi=".offcanvas.show",$i="hidePrevented.bs.offcanvas",Wi="hidden.bs.offcanvas",Bi={backdrop:!0,keyboard:!0,scroll:!1},Fi={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class zi extends z{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Bi}static get DefaultType(){return Fi}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||P.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new gi).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(ji),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Pi),this._element.classList.remove(ji),P.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(P.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(Mi),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Pi,Mi),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new gi).reset(),P.trigger(this._element,Wi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new yi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():P.trigger(this._element,$i)}:null})}_initializeFocusTrap(){return new Ci({trapElement:this._element})}_addEventListeners(){P.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():P.trigger(this._element,$i))}))}static jQueryInterface(t){return this.each((function(){const e=zi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}P.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;P.one(e,Wi,(()=>{a(this)&&this.focus()}));const i=Q.findOne(Hi);i&&i!==e&&zi.getInstance(i).hide(),zi.getOrCreateInstance(e).toggle(this)})),P.on(window,"load.bs.offcanvas.data-api",(()=>{for(const t of Q.find(Hi))zi.getOrCreateInstance(t).show()})),P.on(window,"resize.bs.offcanvas",(()=>{for(const t of Q.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&zi.getOrCreateInstance(t).hide()})),q(zi),g(zi);const qi=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Ri=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Vi=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Ki=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!qi.has(i)||Boolean(Ri.test(t.nodeValue)||Vi.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Qi={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Xi={allowList:Qi,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Yi={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Ui={entry:"(string|element|function|null)",selector:"(string|element)"};class Gi extends F{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Ui)}_setContent(t,e,i){const n=Q.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Ki(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return"function"==typeof t?t(this):t}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Ji=new Set(["sanitize","allowList","sanitizeFn"]),Zi="fade",tn="show",en=".modal",nn="hide.bs.modal",sn="hover",on="focus",rn={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},an={allowList:Qi,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,0],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},ln={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cn extends z{constructor(t,e){if(void 0===Ke)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return an}static get DefaultType(){return ln}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),P.off(this._element.closest(en),nn,this._hideModalHandler),this.tip&&this.tip.remove(),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=P.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this.tip&&(this.tip.remove(),this.tip=null);const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),P.trigger(this._element,this.constructor.eventName("inserted"))),this._popper?this._popper.update():this._popper=this._createPopper(i),i.classList.add(tn),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))P.on(t,"mouseover",h);this._queueCallback((()=>{P.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(!this._isShown())return;if(P.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented)return;const t=this._getTipElement();if(t.classList.remove(tn),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))P.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||t.remove(),this._element.removeAttribute("aria-describedby"),P.trigger(this._element,this.constructor.eventName("hidden")),this._disposePopper())}),this.tip,this._isAnimated())}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(Zi,tn),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(Zi),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Gi({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(Zi)}_isShown(){return this.tip&&this.tip.classList.contains(tn)}_createPopper(t){const e="function"==typeof this._config.placement?this._config.placement.call(this,t,this._element):this._config.placement,i=rn[e.toUpperCase()];return Ve(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)P.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===sn?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===sn?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");P.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?on:sn]=!0,e._enter()})),P.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?on:sn]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},P.on(this._element.closest(en),nn,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=B.getDataAttributes(this._element);for(const t of Object.keys(e))Ji.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null)}static jQueryInterface(t){return this.each((function(){const e=cn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(cn);const hn={...cn.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},dn={...cn.DefaultType,content:"(null|string|element|function)"};class un extends cn{static get Default(){return hn}static get DefaultType(){return dn}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=un.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(un);const fn="click.bs.scrollspy",pn="active",gn="[href]",mn={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},_n={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class bn extends z{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return mn}static get DefaultType(){return _n}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=r(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(P.off(this._config.target,fn),P.on(this._config.target,fn,gn,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=Q.find(gn,this._config.target);for(const e of t){if(!e.hash||l(e))continue;const t=Q.findOne(e.hash,this._element);a(t)&&(this._targetLinks.set(e.hash,e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(pn),this._activateParents(t),P.trigger(this._element,"activate.bs.scrollspy",{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))Q.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(pn);else for(const e of Q.parents(t,".nav, .list-group"))for(const t of Q.prev(e,".nav-link, .nav-item > .nav-link, .list-group-item"))t.classList.add(pn)}_clearActiveClass(t){t.classList.remove(pn);const e=Q.find("[href].active",t);for(const t of e)t.classList.remove(pn)}static jQueryInterface(t){return this.each((function(){const e=bn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}P.on(window,"load.bs.scrollspy.data-api",(()=>{for(const t of Q.find('[data-bs-spy="scroll"]'))bn.getOrCreateInstance(t)})),g(bn);const vn="ArrowLeft",yn="ArrowRight",wn="ArrowUp",An="ArrowDown",En="active",Tn="fade",Cn="show",On='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',xn=`.nav-link:not(.dropdown-toggle), .list-group-item:not(.dropdown-toggle), [role="tab"]:not(.dropdown-toggle), ${On}`;class kn extends z{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),P.on(this._element,"keydown.bs.tab",(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?P.trigger(e,"hide.bs.tab",{relatedTarget:t}):null;P.trigger(t,"show.bs.tab",{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(En),this._activate(n(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),P.trigger(t,"shown.bs.tab",{relatedTarget:e})):t.classList.add(Cn)}),t,t.classList.contains(Tn)))}_deactivate(t,e){t&&(t.classList.remove(En),t.blur(),this._deactivate(n(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),P.trigger(t,"hidden.bs.tab",{relatedTarget:e})):t.classList.remove(Cn)}),t,t.classList.contains(Tn)))}_keydown(t){if(![vn,yn,wn,An].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=[yn,An].includes(t.key),i=b(this._getChildren().filter((t=>!l(t))),t.target,e,!0);i&&(i.focus({preventScroll:!0}),kn.getOrCreateInstance(i).show())}_getChildren(){return Q.find(xn,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=n(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`#${t.id}`))}_toggleDropDown(t,e){const 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element.getAttribute('href')\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || (!hrefAttribute.includes('#') && !hrefAttribute.startsWith('.'))) {\n      return null\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`\n    }\n\n    selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null\n  }\n\n  return selector\n}\n\nconst getSelectorFromElement = element => {\n  const selector = getSelector(element)\n\n  if (selector) {\n    return document.querySelector(selector) ? selector : null\n  }\n\n  return null\n}\n\nconst getElementFromSelector = element => {\n  const selector = getSelector(element)\n\n  return selector ? document.querySelector(selector) : null\n}\n\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0\n  }\n\n  // Get transition-duration of the element\n  let { transitionDuration, transitionDelay } = window.getComputedStyle(element)\n\n  const floatTransitionDuration = Number.parseFloat(transitionDuration)\n  const floatTransitionDelay = Number.parseFloat(transitionDelay)\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0]\n  transitionDelay = transitionDelay.split(',')[0]\n\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER\n}\n\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END))\n}\n\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false\n  }\n\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0]\n  }\n\n  return typeof object.nodeType !== 'undefined'\n}\n\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object\n  }\n\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(object)\n  }\n\n  return null\n}\n\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false\n  }\n\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])')\n\n  if (!closedDetails) {\n    return elementIsVisible\n  }\n\n  if (closedDetails !== element) {\n    const summary = element.closest('summary')\n    if (summary && summary.parentNode !== closedDetails) {\n      return false\n    }\n\n    if (summary === null) {\n      return false\n    }\n  }\n\n  return elementIsVisible\n}\n\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true\n  }\n\n  if (element.classList.contains('disabled')) {\n    return true\n  }\n\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled\n  }\n\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode()\n    return root instanceof ShadowRoot ? root : null\n  }\n\n  if (element instanceof ShadowRoot) {\n    return element\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null\n  }\n\n  return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight // eslint-disable-line no-unused-expressions\n}\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery\n  }\n\n  return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback()\n        }\n      })\n    }\n\n    DOMContentLoadedCallbacks.push(callback)\n  } else {\n    callback()\n  }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery()\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME\n      const JQUERY_NO_CONFLICT = $.fn[name]\n      $.fn[name] = plugin.jQueryInterface\n      $.fn[name].Constructor = plugin\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT\n        return plugin.jQueryInterface\n      }\n    }\n  })\n}\n\nconst execute = callback => {\n  if (typeof callback === 'function') {\n    callback()\n  }\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback)\n    return\n  }\n\n  const durationPadding = 5\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n  let called = false\n\n  const handler = ({ target }) => {\n    if (target !== transitionElement) {\n      return\n    }\n\n    called = true\n    transitionElement.removeEventListener(TRANSITION_END, handler)\n    execute(callback)\n  }\n\n  transitionElement.addEventListener(TRANSITION_END, handler)\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement)\n    }\n  }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length\n  let index = list.indexOf(activeElement)\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0]\n  }\n\n  index += shouldGetNext ? 1 : -1\n\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength\n  }\n\n  return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n  defineJQueryPlugin,\n  execute,\n  executeAfterTransition,\n  findShadowRoot,\n  getElement,\n  getElementFromSelector,\n  getjQuery,\n  getNextActiveElement,\n  getSelectorFromElement,\n  getTransitionDurationFromElement,\n  getUID,\n  isDisabled,\n  isElement,\n  isRTL,\n  isVisible,\n  noop,\n  onDOMContentLoaded,\n  reflow,\n  triggerTransitionEnd,\n  toType\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index'\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n}\n\nconst nativeEvents = new Set([\n  'click',\n  'dblclick',\n  'mouseup',\n  'mousedown',\n  'contextmenu',\n  'mousewheel',\n  'DOMMouseScroll',\n  'mouseover',\n  'mouseout',\n  'mousemove',\n  'selectstart',\n  'selectend',\n  'keydown',\n  'keypress',\n  'keyup',\n  'orientationchange',\n  'touchstart',\n  'touchmove',\n  'touchend',\n  'touchcancel',\n  'pointerdown',\n  'pointermove',\n  'pointerup',\n  'pointerleave',\n  'pointercancel',\n  'gesturestart',\n  'gesturechange',\n  'gestureend',\n  'focus',\n  'blur',\n  'change',\n  'reset',\n  'select',\n  'submit',\n  'focusin',\n  'focusout',\n  'load',\n  'unload',\n  'beforeunload',\n  'resize',\n  'move',\n  'DOMContentLoaded',\n  'readystatechange',\n  'error',\n  'abort',\n  'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element)\n\n  element.uidEvent = uid\n  eventRegistry[uid] = eventRegistry[uid] || {}\n\n  return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, { delegateTarget: element })\n\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn)\n    }\n\n    return fn.apply(element, [event])\n  }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector)\n\n    for (let { target } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue\n        }\n\n        hydrateObj(event, { delegateTarget: target })\n\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn)\n        }\n\n        return fn.apply(target, [event])\n      }\n    }\n  }\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events)\n    .find(event => event.callable === callable && event.delegationSelector === delegationSelector)\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string'\n  // todo: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : (handler || delegationFunction)\n  let typeEvent = getTypeEvent(originalTypeEvent)\n\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent\n  }\n\n  return [isDelegated, callable, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return\n  }\n\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n          return fn.call(this, event)\n        }\n      }\n    }\n\n    callable = wrapFunction(callable)\n  }\n\n  const events = getElementEvents(element)\n  const handlers = events[typeEvent] || (events[typeEvent] = {})\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null)\n\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff\n\n    return\n  }\n\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''))\n  const fn = isDelegated ?\n    bootstrapDelegationHandler(element, handler, callable) :\n    bootstrapHandler(element, callable)\n\n  fn.delegationSelector = isDelegated ? handler : null\n  fn.callable = callable\n  fn.oneOff = oneOff\n  fn.uidEvent = uid\n  handlers[uid] = fn\n\n  element.addEventListener(typeEvent, fn, isDelegated)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n  if (!fn) {\n    return\n  }\n\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n  delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {}\n\n  for (const handlerKey of Object.keys(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      const event = storeElementEvent[handlerKey]\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n    }\n  }\n}\n\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '')\n  return customEvents[event] || event\n}\n\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false)\n  },\n\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true)\n  },\n\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return\n    }\n\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n    const inNamespace = typeEvent !== originalTypeEvent\n    const events = getElementEvents(element)\n    const storeElementEvent = events[typeEvent] || {}\n    const isNamespace = originalTypeEvent.startsWith('.')\n\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return\n      }\n\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null)\n      return\n    }\n\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n      }\n    }\n\n    for (const keyHandlers of Object.keys(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        const event = storeElementEvent[keyHandlers]\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n      }\n    }\n  },\n\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null\n    }\n\n    const $ = getjQuery()\n    const typeEvent = getTypeEvent(event)\n    const inNamespace = event !== typeEvent\n\n    let jQueryEvent = null\n    let bubbles = true\n    let nativeDispatch = true\n    let defaultPrevented = false\n\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args)\n\n      $(element).trigger(jQueryEvent)\n      bubbles = !jQueryEvent.isPropagationStopped()\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n      defaultPrevented = jQueryEvent.isDefaultPrevented()\n    }\n\n    let evt = new Event(event, { bubbles, cancelable: true })\n    evt = hydrateObj(evt, args)\n\n    if (defaultPrevented) {\n      evt.preventDefault()\n    }\n\n    if (nativeDispatch) {\n      element.dispatchEvent(evt)\n    }\n\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault()\n    }\n\n    return evt\n  }\n}\n\nfunction hydrateObj(obj, meta) {\n  for (const [key, value] of Object.entries(meta || {})) {\n    try {\n      obj[key] = value\n    } catch {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value\n        }\n      })\n    }\n  }\n\n  return obj\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map()\n\nexport default {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map())\n    }\n\n    const instanceMap = elementMap.get(element)\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`)\n      return\n    }\n\n    instanceMap.set(key, instance)\n  },\n\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null\n    }\n\n    return null\n  },\n\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return\n    }\n\n    const instanceMap = elementMap.get(element)\n\n    instanceMap.delete(key)\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element)\n    }\n  }\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true\n  }\n\n  if (value === 'false') {\n    return false\n  }\n\n  if (value === Number(value).toString()) {\n    return Number(value)\n  }\n\n  if (value === '' || value === 'null') {\n    return null\n  }\n\n  if (typeof value !== 'string') {\n    return value\n  }\n\n  try {\n    return JSON.parse(decodeURIComponent(value))\n  } catch {\n    return value\n  }\n}\n\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n  },\n\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n  },\n\n  getDataAttributes(element) {\n    if (!element) {\n      return {}\n    }\n\n    const attributes = {}\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'))\n\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '')\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n      attributes[pureKey] = normalizeData(element.dataset[key])\n    }\n\n    return attributes\n  },\n\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n  }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isElement, toType } from './index'\nimport Manipulator from '../dom/manipulator'\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {}\n  }\n\n  static get DefaultType() {\n    return {}\n  }\n\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!')\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    return config\n  }\n\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {} // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    }\n  }\n\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const property of Object.keys(configTypes)) {\n      const expectedTypes = configTypes[property]\n      const value = config[property]\n      const valueType = isElement(value) ? 'element' : toType(value)\n\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(\n          `${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n        )\n      }\n    }\n  }\n}\n\nexport default Config\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data'\nimport { executeAfterTransition, getElement } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Config from './util/config'\n\n/**\n * Constants\n */\n\nconst VERSION = '5.2.2'\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super()\n\n    element = getElement(element)\n    if (!element) {\n      return\n    }\n\n    this._element = element\n    this._config = this._getConfig(config)\n\n    Data.set(this._element, this.constructor.DATA_KEY, this)\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY)\n    EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null\n    }\n  }\n\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated)\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY)\n  }\n\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n  }\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`\n  }\n\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`\n  }\n\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`\n  }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler'\nimport { getElementFromSelector, isDisabled } from './index'\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`\n  const name = component.NAME\n\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault()\n    }\n\n    if (isDisabled(this)) {\n      return\n    }\n\n    const target = getElementFromSelector(this) || this.closest(`.${name}`)\n    const instance = component.getOrCreateInstance(target)\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]()\n  })\n}\n\nexport {\n  enableDismissTrigger\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * Constants\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE)\n\n    if (closeEvent.defaultPrevented) {\n      return\n    }\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE)\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated)\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove()\n    EventHandler.trigger(this._element, EVENT_CLOSED)\n    this.dispose()\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close')\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this)\n\n      if (config === 'toggle') {\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n  event.preventDefault()\n\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n  const data = Button.getOrCreateInstance(button)\n\n  data.toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isDisabled, isVisible } from '../util/index'\n\n/**\n * Constants\n */\n\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector))\n  },\n\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector)\n  },\n\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector))\n  },\n\n  parents(element, selector) {\n    const parents = []\n    let ancestor = element.parentNode.closest(selector)\n\n    while (ancestor) {\n      parents.push(ancestor)\n      ancestor = ancestor.parentNode.closest(selector)\n    }\n\n    return parents\n  },\n\n  prev(element, selector) {\n    let previous = element.previousElementSibling\n\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous]\n      }\n\n      previous = previous.previousElementSibling\n    }\n\n    return []\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling\n\n    while (next) {\n      if (next.matches(selector)) {\n        return [next]\n      }\n\n      next = next.nextElementSibling\n    }\n\n    return []\n  },\n\n  focusableChildren(element) {\n    const focusables = [\n      'a',\n      'button',\n      'input',\n      'textarea',\n      'select',\n      'details',\n      '[tabindex]',\n      '[contenteditable=\"true\"]'\n    ].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',')\n\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el))\n  }\n}\n\nexport default SelectorEngine\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Config from './config'\nimport EventHandler from '../dom/event-handler'\nimport { execute } from './index'\n\n/**\n * Constants\n */\n\nconst NAME = 'swipe'\nconst EVENT_KEY = '.bs.swipe'\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n}\n\nconst DefaultType = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n}\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super()\n    this._element = element\n\n    if (!element || !Swipe.isSupported()) {\n      return\n    }\n\n    this._config = this._getConfig(config)\n    this._deltaX = 0\n    this._supportPointerEvents = Boolean(window.PointerEvent)\n    this._initEvents()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY)\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX\n\n      return\n    }\n\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX\n    }\n  }\n\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX\n    }\n\n    this._handleSwipe()\n    execute(this._config.endCallback)\n  }\n\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ?\n      0 :\n      event.touches[0].clientX - this._deltaX\n  }\n\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX)\n\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return\n    }\n\n    const direction = absDeltaX / this._deltaX\n\n    this._deltaX = 0\n\n    if (!direction) {\n      return\n    }\n\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback)\n  }\n\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event))\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event))\n\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event))\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event))\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event))\n    }\n  }\n\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n  }\n}\n\nexport default Swipe\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElementFromSelector,\n  getNextActiveElement,\n  isRTL,\n  isVisible,\n  reflow,\n  triggerTransitionEnd\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport Swipe from './util/swipe'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst Default = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n}\n\nconst DefaultType = {\n  interval: '(number|boolean)', // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._interval = null\n    this._activeElement = null\n    this._isSliding = false\n    this.touchTimeout = null\n    this._swipeHelper = null\n\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n    this._addEventListeners()\n\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT)\n  }\n\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next()\n    }\n  }\n\n  prev() {\n    this._slide(ORDER_PREV)\n  }\n\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element)\n    }\n\n    this._clearInterval()\n  }\n\n  cycle() {\n    this._clearInterval()\n    this._updateInterval()\n\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval)\n  }\n\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle())\n      return\n    }\n\n    this.cycle()\n  }\n\n  to(index) {\n    const items = this._getItems()\n    if (index > items.length - 1 || index < 0) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n      return\n    }\n\n    const activeIndex = this._getItemIndex(this._getActive())\n    if (activeIndex === index) {\n      return\n    }\n\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV\n\n    this._slide(order, items[index])\n  }\n\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose()\n    }\n\n    super.dispose()\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval\n    return config\n  }\n\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n    }\n\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER, () => this.pause())\n      EventHandler.on(this._element, EVENT_MOUSELEAVE, () => this._maybeEnableCycle())\n    }\n\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners()\n    }\n  }\n\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault())\n    }\n\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause()\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout)\n      }\n\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n    }\n\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    }\n\n    this._swipeHelper = new Swipe(this._element, swipeConfig)\n  }\n\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return\n    }\n\n    const direction = KEY_TO_DIRECTION[event.key]\n    if (direction) {\n      event.preventDefault()\n      this._slide(this._directionToOrder(direction))\n    }\n  }\n\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element)\n  }\n\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return\n    }\n\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n    activeIndicator.removeAttribute('aria-current')\n\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement)\n\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE)\n      newActiveIndicator.setAttribute('aria-current', 'true')\n    }\n  }\n\n  _updateInterval() {\n    const element = this._activeElement || this._getActive()\n\n    if (!element) {\n      return\n    }\n\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n    this._config.interval = elementInterval || this._config.defaultInterval\n  }\n\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return\n    }\n\n    const activeElement = this._getActive()\n    const isNext = order === ORDER_NEXT\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap)\n\n    if (nextElement === activeElement) {\n      return\n    }\n\n    const nextElementIndex = this._getItemIndex(nextElement)\n\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      })\n    }\n\n    const slideEvent = triggerEvent(EVENT_SLIDE)\n\n    if (slideEvent.defaultPrevented) {\n      return\n    }\n\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // todo: change tests that use empty divs to avoid this check\n      return\n    }\n\n    const isCycling = Boolean(this._interval)\n    this.pause()\n\n    this._isSliding = true\n\n    this._setActiveIndicatorElement(nextElementIndex)\n    this._activeElement = nextElement\n\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n\n    nextElement.classList.add(orderClassName)\n\n    reflow(nextElement)\n\n    activeElement.classList.add(directionalClassName)\n    nextElement.classList.add(directionalClassName)\n\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName)\n      nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n      activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n      this._isSliding = false\n\n      triggerEvent(EVENT_SLID)\n    }\n\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated())\n\n    if (isCycling) {\n      this.cycle()\n    }\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE)\n  }\n\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n  }\n\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element)\n  }\n\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval)\n      this._interval = null\n    }\n  }\n\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n    }\n\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n  }\n\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n    }\n\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config)\n\n      if (typeof config === 'number') {\n        data.to(config)\n        return\n      }\n\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, function (event) {\n  const target = getElementFromSelector(this)\n\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return\n  }\n\n  event.preventDefault()\n\n  const carousel = Carousel.getOrCreateInstance(target)\n  const slideIndex = this.getAttribute('data-bs-slide-to')\n\n  if (slideIndex) {\n    carousel.to(slideIndex)\n    carousel._maybeEnableCycle()\n    return\n  }\n\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next()\n    carousel._maybeEnableCycle()\n    return\n  }\n\n  carousel.prev()\n  carousel._maybeEnableCycle()\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel)\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElement,\n  getElementFromSelector,\n  getSelectorFromElement,\n  reflow\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\nconst Default = {\n  parent: null,\n  toggle: true\n}\n\nconst DefaultType = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._isTransitioning = false\n    this._triggerArray = []\n\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n    for (const elem of toggleList) {\n      const selector = getSelectorFromElement(elem)\n      const filterElement = SelectorEngine.find(selector)\n        .filter(foundElement => foundElement === this._element)\n\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem)\n      }\n    }\n\n    this._initializeChildren()\n\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown())\n    }\n\n    if (this._config.toggle) {\n      this.toggle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide()\n    } else {\n      this.show()\n    }\n  }\n\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return\n    }\n\n    let activeChildren = []\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES)\n        .filter(element => element !== this._element)\n        .map(element => Collapse.getOrCreateInstance(element, { toggle: false }))\n    }\n\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide()\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.classList.remove(CLASS_NAME_COLLAPSE)\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n    this._element.style[dimension] = 0\n\n    this._addAriaAndCollapsedClass(this._triggerArray, true)\n    this._isTransitioning = true\n\n    const complete = () => {\n      this._isTransitioning = false\n\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n      this._element.style[dimension] = ''\n\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n    }\n\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n    const scrollSize = `scroll${capitalizedDimension}`\n\n    this._queueCallback(complete, this._element, true)\n    this._element.style[dimension] = `${this._element[scrollSize]}px`\n  }\n\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n    for (const trigger of this._triggerArray) {\n      const element = getElementFromSelector(trigger)\n\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false)\n      }\n    }\n\n    this._isTransitioning = true\n\n    const complete = () => {\n      this._isTransitioning = false\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.style[dimension] = ''\n\n    this._queueCallback(complete, this._element, true)\n  }\n\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle) // Coerce string values\n    config.parent = getElement(config.parent)\n    return config\n  }\n\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT\n  }\n\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return\n    }\n\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE)\n\n    for (const element of children) {\n      const selected = getElementFromSelector(element)\n\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected))\n      }\n    }\n  }\n\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element))\n  }\n\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return\n    }\n\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen)\n      element.setAttribute('aria-expanded', isOpen)\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {}\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false\n    }\n\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n    event.preventDefault()\n  }\n\n  const selector = getSelectorFromElement(this)\n  const selectorElements = SelectorEngine.find(selector)\n\n  for (const element of selectorElements) {\n    Collapse.getOrCreateInstance(element, { toggle: false }).toggle()\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n  return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n  return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n  return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (process.env.NODE_ENV !== \"production\") {\n    if (!isHTMLElement(arrowElement)) {\n      console.error(['Popper: \"arrow\" element must be an HTMLElement (not an SVGElement).', 'To use an SVG arrow, wrap it in an HTMLElement that will be used as', 'the arrow.'].join(' '));\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    if (process.env.NODE_ENV !== \"production\") {\n      console.error(['Popper: \"arrow\" modifier\\'s `element` must be a child of the popper', 'element.'].join(' '));\n    }\n\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref) {\n  var x = _ref.x,\n      y = _ref.y;\n  var win = window;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n\n  if (process.env.NODE_ENV !== \"production\") {\n    var transitionProperty = getComputedStyle(state.elements.popper).transitionProperty || '';\n\n    if (adaptive && ['transform', 'top', 'right', 'bottom', 'left'].some(function (property) {\n      return transitionProperty.indexOf(property) >= 0;\n    })) {\n      console.warn(['Popper: Detected CSS transitions on at least one of the following', 'CSS properties: \"transform\", \"top\", \"right\", \"bottom\", \"left\".', '\\n\\n', 'Disable the \"computeStyles\" modifier\\'s `adaptive` option to allow', 'for smooth transitions, or remove these properties from the CSS', 'transition declaration on the popper element if only transitioning', 'opacity or background-color for example.', '\\n\\n', 'We recommend using the popper element as a wrapper around an inner', 'element that can have any CSS property transitioned for animations.'].join(' '));\n    }\n  }\n\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n\n    if (process.env.NODE_ENV !== \"production\") {\n      console.error(['Popper: The `allowedAutoPlacements` option did not allow any', 'placements. Ensure the `placement` option matches the variation', 'of the allowed placements.', 'For example, \"auto\" cannot be used to allow \"bottom-start\".', 'Use \"auto-start\" instead.'].join(' '));\n    }\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport getComputedStyle from \"./dom-utils/getComputedStyle.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport validateModifiers from \"./utils/validateModifiers.js\";\nimport uniqueBy from \"./utils/uniqueBy.js\";\nimport getBasePlacement from \"./utils/getBasePlacement.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nimport { auto } from \"./enums.js\";\nvar INVALID_ELEMENT_ERROR = 'Popper: Invalid reference or popper argument provided. They must be either a DOM element or virtual element.';\nvar INFINITE_LOOP_ERROR = 'Popper: An infinite loop in the modifiers cycle has been detected! The cycle has been interrupted to prevent a browser crash.';\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        }); // Validate the provided modifiers so that the consumer will get warned\n        // if one of the modifiers is invalid for any reason\n\n        if (process.env.NODE_ENV !== \"production\") {\n          var modifiers = uniqueBy([].concat(orderedModifiers, state.options.modifiers), function (_ref) {\n            var name = _ref.name;\n            return name;\n          });\n          validateModifiers(modifiers);\n\n          if (getBasePlacement(state.options.placement) === auto) {\n            var flipModifier = state.orderedModifiers.find(function (_ref2) {\n              var name = _ref2.name;\n              return name === 'flip';\n            });\n\n            if (!flipModifier) {\n              console.error(['Popper: \"auto\" placements require the \"flip\" modifier be', 'present and enabled to work.'].join(' '));\n            }\n          }\n\n          var _getComputedStyle = getComputedStyle(popper),\n              marginTop = _getComputedStyle.marginTop,\n              marginRight = _getComputedStyle.marginRight,\n              marginBottom = _getComputedStyle.marginBottom,\n              marginLeft = _getComputedStyle.marginLeft; // We no longer take into account `margins` on the popper, and it can\n          // cause bugs with positioning, so we'll warn the consumer\n\n\n          if ([marginTop, marginRight, marginBottom, marginLeft].some(function (margin) {\n            return parseFloat(margin);\n          })) {\n            console.warn(['Popper: CSS \"margin\" styles cannot be used to apply padding', 'between the popper and its reference element or boundary.', 'To replicate margin, use the `offset` modifier, as well as', 'the `padding` option in the `preventOverflow` and `flip`', 'modifiers.'].join(' '));\n          }\n        }\n\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          if (process.env.NODE_ENV !== \"production\") {\n            console.error(INVALID_ELEMENT_ERROR);\n          }\n\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n        var __debug_loops__ = 0;\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (process.env.NODE_ENV !== \"production\") {\n            __debug_loops__ += 1;\n\n            if (__debug_loops__ > 100) {\n              console.error(INFINITE_LOOP_ERROR);\n              break;\n            }\n          }\n\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      if (process.env.NODE_ENV !== \"production\") {\n        console.error(INVALID_ELEMENT_ERROR);\n      }\n\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref3) {\n        var name = _ref3.name,\n            _ref3$options = _ref3.options,\n            options = _ref3$options === void 0 ? {} : _ref3$options,\n            effect = _ref3.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport {\n  defineJQueryPlugin,\n  getElement,\n  getNextActiveElement,\n  isDisabled,\n  isElement,\n  isRTL,\n  isVisible,\n  noop\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center'\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)'\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE}.${CLASS_NAME_SHOW}`\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR = '.navbar'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\nconst PLACEMENT_TOPCENTER = 'top'\nconst PLACEMENT_BOTTOMCENTER = 'bottom'\n\nconst Default = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n}\n\nconst DefaultType = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n}\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._popper = null\n    this._parent = this._element.parentNode // dropdown wrapper\n    // todo: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.2/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] ||\n      SelectorEngine.prev(this._element, SELECTOR_MENU)[0] ||\n      SelectorEngine.findOne(SELECTOR_MENU, this._parent)\n    this._inNavbar = this._detectNavbar()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show()\n  }\n\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._createPopper()\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop)\n      }\n    }\n\n    this._element.focus()\n    this._element.setAttribute('aria-expanded', true)\n\n    this._menu.classList.add(CLASS_NAME_SHOW)\n    this._element.classList.add(CLASS_NAME_SHOW)\n    EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n  }\n\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    this._completeHide(relatedTarget)\n  }\n\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    super.dispose()\n  }\n\n  update() {\n    this._inNavbar = this._detectNavbar()\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop)\n      }\n    }\n\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    this._menu.classList.remove(CLASS_NAME_SHOW)\n    this._element.classList.remove(CLASS_NAME_SHOW)\n    this._element.setAttribute('aria-expanded', 'false')\n    Manipulator.removeDataAttribute(this._menu, 'popper')\n    EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n  }\n\n  _getConfig(config) {\n    config = super._getConfig(config)\n\n    if (typeof config.reference === 'object' && !isElement(config.reference) &&\n      typeof config.reference.getBoundingClientRect !== 'function'\n    ) {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n    }\n\n    return config\n  }\n\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n    }\n\n    let referenceElement = this._element\n\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference)\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference\n    }\n\n    const popperConfig = this._getPopperConfig()\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n  }\n\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  _getPlacement() {\n    const parentDropdown = this._parent\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n    }\n\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n  }\n\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      },\n      {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    }\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static') // todo:v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n    }\n  }\n\n  _selectMenuItem({ key, target }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element))\n\n    if (!items.length) {\n      return\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY)) {\n      return\n    }\n\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN)\n\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle)\n      if (!context || context._config.autoClose === false) {\n        continue\n      }\n\n      const composedPath = event.composedPath()\n      const isMenuTarget = composedPath.includes(context._menu)\n      if (\n        composedPath.includes(context._element) ||\n        (context._config.autoClose === 'inside' && !isMenuTarget) ||\n        (context._config.autoClose === 'outside' && isMenuTarget)\n      ) {\n        continue\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue\n      }\n\n      const relatedTarget = { relatedTarget: context._element }\n\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event\n      }\n\n      context._completeHide(relatedTarget)\n    }\n  }\n\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName)\n    const isEscapeEvent = event.key === ESCAPE_KEY\n    const isUpOrDownEvent = [ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)\n\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return\n    }\n\n    if (isInput && !isEscapeEvent) {\n      return\n    }\n\n    event.preventDefault()\n\n    // todo: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.2/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE) ?\n      this :\n      (SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0] ||\n        SelectorEngine.next(this, SELECTOR_DATA_TOGGLE)[0] ||\n        SelectorEngine.findOne(SELECTOR_DATA_TOGGLE, event.delegateTarget.parentNode))\n\n    const instance = Dropdown.getOrCreateInstance(getToggleButton)\n\n    if (isUpOrDownEvent) {\n      event.stopPropagation()\n      instance.show()\n      instance._selectMenuItem(event)\n      return\n    }\n\n    if (instance._isShown()) { // else is escape and we check if it is shown\n      event.stopPropagation()\n      instance.hide()\n      getToggleButton.focus()\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  event.preventDefault()\n  Dropdown.getOrCreateInstance(this).toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine'\nimport Manipulator from '../dom/manipulator'\nimport { isElement } from './index'\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\nconst PROPERTY_PADDING = 'padding-right'\nconst PROPERTY_MARGIN = 'margin-right'\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth\n    return Math.abs(window.innerWidth - documentWidth)\n  }\n\n  hide() {\n    const width = this.getWidth()\n    this._disableOverFlow()\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width)\n  }\n\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow')\n    this._resetElementAttributes(this._element, PROPERTY_PADDING)\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING)\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN)\n  }\n\n  isOverflowing() {\n    return this.getWidth() > 0\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow')\n    this._element.style.overflow = 'hidden'\n  }\n\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth()\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return\n      }\n\n      this._saveInitialAttribute(element, styleProperty)\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty)\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`)\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty)\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue)\n    }\n  }\n\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty)\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty)\n        return\n      }\n\n      Manipulator.removeDataAttribute(element, styleProperty)\n      element.style.setProperty(styleProperty, value)\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector)\n      return\n    }\n\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel)\n    }\n  }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler'\nimport { execute, executeAfterTransition, getElement, reflow } from './index'\nimport Config from './config'\n\n/**\n * Constants\n */\n\nconst NAME = 'backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nconst Default = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n}\n\nconst DefaultType = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n}\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n    this._isAppended = false\n    this._element = null\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._append()\n\n    const element = this._getElement()\n    if (this._config.isAnimated) {\n      reflow(element)\n    }\n\n    element.classList.add(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      execute(callback)\n    })\n  }\n\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      this.dispose()\n      execute(callback)\n    })\n  }\n\n  dispose() {\n    if (!this._isAppended) {\n      return\n    }\n\n    EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n    this._element.remove()\n    this._isAppended = false\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div')\n      backdrop.className = this._config.className\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE)\n      }\n\n      this._element = backdrop\n    }\n\n    return this._element\n  }\n\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement)\n    return config\n  }\n\n  _append() {\n    if (this._isAppended) {\n      return\n    }\n\n    const element = this._getElement()\n    this._config.rootElement.append(element)\n\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback)\n    })\n\n    this._isAppended = true\n  }\n\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n  }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler'\nimport SelectorEngine from '../dom/selector-engine'\nimport Config from './config'\n\n/**\n * Constants\n */\n\nconst NAME = 'focustrap'\nconst DATA_KEY = 'bs.focustrap'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY}`\n\nconst TAB_KEY = 'Tab'\nconst TAB_NAV_FORWARD = 'forward'\nconst TAB_NAV_BACKWARD = 'backward'\n\nconst Default = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n}\n\nconst DefaultType = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n}\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n    this._isActive = false\n    this._lastTabNavDirection = null\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return\n    }\n\n    if (this._config.autofocus) {\n      this._config.trapElement.focus()\n    }\n\n    EventHandler.off(document, EVENT_KEY) // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN, event => this._handleFocusin(event))\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event))\n\n    this._isActive = true\n  }\n\n  deactivate() {\n    if (!this._isActive) {\n      return\n    }\n\n    this._isActive = false\n    EventHandler.off(document, EVENT_KEY)\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const { trapElement } = this._config\n\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return\n    }\n\n    const elements = SelectorEngine.focusableChildren(trapElement)\n\n    if (elements.length === 0) {\n      trapElement.focus()\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus()\n    } else {\n      elements[0].focus()\n    }\n  }\n\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return\n    }\n\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD\n  }\n}\n\nexport default FocusTrap\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin, getElementFromSelector, isRTL, isVisible, reflow } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport SelectorEngine from './dom/selector-engine'\nimport ScrollBarHelper from './util/scrollbar'\nimport BaseComponent from './base-component'\nimport Backdrop from './util/backdrop'\nimport FocusTrap from './util/focustrap'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * Constants\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst OPEN_SELECTOR = '.modal.show'\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\n\nconst Default = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n    this._backdrop = this._initializeBackDrop()\n    this._focustrap = this._initializeFocusTrap()\n    this._isShown = false\n    this._isTransitioning = false\n    this._scrollBar = new ScrollBarHelper()\n\n    this._addEventListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n      relatedTarget\n    })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._isTransitioning = true\n\n    this._scrollBar.hide()\n\n    document.body.classList.add(CLASS_NAME_OPEN)\n\n    this._adjustDialog()\n\n    this._backdrop.show(() => this._showElement(relatedTarget))\n  }\n\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = false\n    this._isTransitioning = true\n    this._focustrap.deactivate()\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated())\n  }\n\n  dispose() {\n    for (const htmlElement of [window, this._dialog]) {\n      EventHandler.off(htmlElement, EVENT_KEY)\n    }\n\n    this._backdrop.dispose()\n    this._focustrap.deactivate()\n    super.dispose()\n  }\n\n  handleUpdate() {\n    this._adjustDialog()\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element)\n    }\n\n    this._element.style.display = 'block'\n    this._element.removeAttribute('aria-hidden')\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.scrollTop = 0\n\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n    if (modalBody) {\n      modalBody.scrollTop = 0\n    }\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_SHOW)\n\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate()\n      }\n\n      this._isTransitioning = false\n      EventHandler.trigger(this._element, EVENT_SHOWN, {\n        relatedTarget\n      })\n    }\n\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated())\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return\n      }\n\n      if (this._config.keyboard) {\n        event.preventDefault()\n        this.hide()\n        return\n      }\n\n      this._triggerBackdropTransition()\n    })\n\n    EventHandler.on(window, EVENT_RESIZE, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog()\n      }\n    })\n\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return\n        }\n\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition()\n          return\n        }\n\n        if (this._config.backdrop) {\n          this.hide()\n        }\n      })\n    })\n  }\n\n  _hideModal() {\n    this._element.style.display = 'none'\n    this._element.setAttribute('aria-hidden', true)\n    this._element.removeAttribute('aria-modal')\n    this._element.removeAttribute('role')\n    this._isTransitioning = false\n\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN)\n      this._resetAdjustments()\n      this._scrollBar.reset()\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    })\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE)\n  }\n\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const initialOverflowY = this._element.style.overflowY\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return\n    }\n\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden'\n    }\n\n    this._element.classList.add(CLASS_NAME_STATIC)\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC)\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY\n      }, this._dialog)\n    }, this._dialog)\n\n    this._element.focus()\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const scrollbarWidth = this._scrollBar.getWidth()\n    const isBodyOverflowing = scrollbarWidth > 0\n\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight'\n      this._element.style[property] = `${scrollbarWidth}px`\n    }\n\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft'\n      this._element.style[property] = `${scrollbarWidth}px`\n    }\n  }\n\n  _resetAdjustments() {\n    this._element.style.paddingLeft = ''\n    this._element.style.paddingRight = ''\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](relatedTarget)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  EventHandler.one(target, EVENT_SHOW, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return\n    }\n\n    EventHandler.one(target, EVENT_HIDDEN, () => {\n      if (isVisible(this)) {\n        this.focus()\n      }\n    })\n  })\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide()\n  }\n\n  const data = Modal.getOrCreateInstance(target)\n\n  data.toggle(this)\n})\n\nenableDismissTrigger(Modal)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElementFromSelector,\n  isDisabled,\n  isVisible\n} from './util/index'\nimport ScrollBarHelper from './util/scrollbar'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\nimport SelectorEngine from './dom/selector-engine'\nimport Backdrop from './util/backdrop'\nimport FocusTrap from './util/focustrap'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * Constants\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\nconst CLASS_NAME_HIDING = 'hiding'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\nconst Default = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._isShown = false\n    this._backdrop = this._initializeBackDrop()\n    this._focustrap = this._initializeFocusTrap()\n    this._addEventListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._backdrop.show()\n\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide()\n    }\n\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.classList.add(CLASS_NAME_SHOWING)\n\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate()\n      }\n\n      this._element.classList.add(CLASS_NAME_SHOW)\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n    }\n\n    this._queueCallback(completeCallBack, this._element, true)\n  }\n\n  hide() {\n    if (!this._isShown) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._focustrap.deactivate()\n    this._element.blur()\n    this._isShown = false\n    this._element.classList.add(CLASS_NAME_HIDING)\n    this._backdrop.hide()\n\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW, CLASS_NAME_HIDING)\n      this._element.removeAttribute('aria-modal')\n      this._element.removeAttribute('role')\n\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset()\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._queueCallback(completeCallback, this._element, true)\n  }\n\n  dispose() {\n    this._backdrop.dispose()\n    this._focustrap.deactivate()\n    super.dispose()\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n        return\n      }\n\n      this.hide()\n    }\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop)\n\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return\n      }\n\n      if (!this._config.keyboard) {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n        return\n      }\n\n      this.hide()\n    })\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  EventHandler.one(target, EVENT_HIDDEN, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus()\n    }\n  })\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide()\n  }\n\n  const data = Offcanvas.getOrCreateInstance(target)\n  data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show()\n  }\n})\n\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide()\n    }\n  }\n})\n\nenableDismissTrigger(Offcanvas)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst uriAttributes = new Set([\n  'background',\n  'cite',\n  'href',\n  'itemtype',\n  'longdesc',\n  'poster',\n  'src',\n  'xlink:href'\n])\n\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\n/**\n * A pattern that recognizes a commonly useful subset of URLs that are safe.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst SAFE_URL_PATTERN = /^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i\n\n/**\n * A pattern that matches safe data URLs. Only matches image, video and audio types.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst DATA_URL_PATTERN = /^data:(?:image\\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[\\d+/a-z]+=*$/i\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase()\n\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue) || DATA_URL_PATTERN.test(attribute.nodeValue))\n    }\n\n    return true\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp)\n    .some(regex => regex.test(attributeName))\n}\n\nexport const DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml\n  }\n\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml)\n  }\n\n  const domParser = new window.DOMParser()\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase()\n\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove()\n\n      continue\n    }\n\n    const attributeList = [].concat(...element.attributes)\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName)\n      }\n    }\n  }\n\n  return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { DefaultAllowlist, sanitizeHtml } from './sanitizer'\nimport { getElement, isElement } from '../util/index'\nimport SelectorEngine from '../dom/selector-engine'\nimport Config from './config'\n\n/**\n * Constants\n */\n\nconst NAME = 'TemplateFactory'\n\nconst Default = {\n  allowList: DefaultAllowlist,\n  content: {}, // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n}\n\nconst DefaultType = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n}\n\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n}\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content)\n      .map(config => this._resolvePossibleFunction(config))\n      .filter(Boolean)\n  }\n\n  hasContent() {\n    return this.getContent().length > 0\n  }\n\n  changeContent(content) {\n    this._checkContent(content)\n    this._config.content = { ...this._config.content, ...content }\n    return this\n  }\n\n  toHtml() {\n    const templateWrapper = document.createElement('div')\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template)\n\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector)\n    }\n\n    const template = templateWrapper.children[0]\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass)\n\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '))\n    }\n\n    return template\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config)\n    this._checkContent(config.content)\n  }\n\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({ selector, entry: content }, DefaultContentType)\n    }\n  }\n\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template)\n\n    if (!templateElement) {\n      return\n    }\n\n    content = this._resolvePossibleFunction(content)\n\n    if (!content) {\n      templateElement.remove()\n      return\n    }\n\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement)\n      return\n    }\n\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content)\n      return\n    }\n\n    templateElement.textContent = content\n  }\n\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg\n  }\n\n  _resolvePossibleFunction(arg) {\n    return typeof arg === 'function' ? arg(this) : arg\n  }\n\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = ''\n      templateElement.append(element)\n      return\n    }\n\n    templateElement.textContent = element.textContent\n  }\n}\n\nexport default TemplateFactory\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport { defineJQueryPlugin, findShadowRoot, getElement, getUID, isRTL, noop } from './util/index'\nimport { DefaultAllowlist } from './util/sanitizer'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport BaseComponent from './base-component'\nimport TemplateFactory from './util/template-factory'\n\n/**\n * Constants\n */\n\nconst NAME = 'tooltip'\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`\n\nconst EVENT_MODAL_HIDE = 'hide.bs.modal'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\nconst EVENT_HIDE = 'hide'\nconst EVENT_HIDDEN = 'hidden'\nconst EVENT_SHOW = 'show'\nconst EVENT_SHOWN = 'shown'\nconst EVENT_INSERTED = 'inserted'\nconst EVENT_CLICK = 'click'\nconst EVENT_FOCUSIN = 'focusin'\nconst EVENT_FOCUSOUT = 'focusout'\nconst EVENT_MOUSEENTER = 'mouseenter'\nconst EVENT_MOUSELEAVE = 'mouseleave'\n\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 0],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' +\n            '<div class=\"tooltip-arrow\"></div>' +\n            '<div class=\"tooltip-inner\"></div>' +\n            '</div>',\n  title: '',\n  trigger: 'hover focus'\n}\n\nconst DefaultType = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n}\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n    }\n\n    super(element, config)\n\n    // Private\n    this._isEnabled = true\n    this._timeout = 0\n    this._isHovered = null\n    this._activeTrigger = {}\n    this._popper = null\n    this._templateFactory = null\n    this._newContent = null\n\n    // Protected\n    this.tip = null\n\n    this._setListeners()\n\n    if (!this._config.selector) {\n      this._fixTitle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true\n  }\n\n  disable() {\n    this._isEnabled = false\n  }\n\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled\n  }\n\n  toggle() {\n    if (!this._isEnabled) {\n      return\n    }\n\n    this._activeTrigger.click = !this._activeTrigger.click\n    if (this._isShown()) {\n      this._leave()\n      return\n    }\n\n    this._enter()\n  }\n\n  dispose() {\n    clearTimeout(this._timeout)\n\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n    if (this.tip) {\n      this.tip.remove()\n    }\n\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'))\n    }\n\n    this._disposePopper()\n    super.dispose()\n  }\n\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements')\n    }\n\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW))\n    const shadowRoot = findShadowRoot(this._element)\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element)\n\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return\n    }\n\n    // todo v6 remove this OR make it optional\n    if (this.tip) {\n      this.tip.remove()\n      this.tip = null\n    }\n\n    const tip = this._getTipElement()\n\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'))\n\n    const { container } = this._config\n\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip)\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED))\n    }\n\n    if (this._popper) {\n      this._popper.update()\n    } else {\n      this._popper = this._createPopper(tip)\n    }\n\n    tip.classList.add(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop)\n      }\n    }\n\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN))\n\n      if (this._isHovered === false) {\n        this._leave()\n      }\n\n      this._isHovered = false\n    }\n\n    this._queueCallback(complete, this.tip, this._isAnimated())\n  }\n\n  hide() {\n    if (!this._isShown()) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE))\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const tip = this._getTipElement()\n    tip.classList.remove(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop)\n      }\n    }\n\n    this._activeTrigger[TRIGGER_CLICK] = false\n    this._activeTrigger[TRIGGER_FOCUS] = false\n    this._activeTrigger[TRIGGER_HOVER] = false\n    this._isHovered = null // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return\n      }\n\n      if (!this._isHovered) {\n        tip.remove()\n      }\n\n      this._element.removeAttribute('aria-describedby')\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN))\n\n      this._disposePopper()\n    }\n\n    this._queueCallback(complete, this.tip, this._isAnimated())\n  }\n\n  update() {\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle())\n  }\n\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate())\n    }\n\n    return this.tip\n  }\n\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml()\n\n    // todo: remove this check on v6\n    if (!tip) {\n      return null\n    }\n\n    tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n    // todo: on v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`)\n\n    const tipId = getUID(this.constructor.NAME).toString()\n\n    tip.setAttribute('id', tipId)\n\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE)\n    }\n\n    return tip\n  }\n\n  setContent(content) {\n    this._newContent = content\n    if (this._isShown()) {\n      this._disposePopper()\n      this.show()\n    }\n  }\n\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content)\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      })\n    }\n\n    return this._templateFactory\n  }\n\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    }\n  }\n\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title')\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig())\n  }\n\n  _isAnimated() {\n    return this._config.animation || (this.tip && this.tip.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  _createPopper(tip) {\n    const placement = typeof this._config.placement === 'function' ?\n      this._config.placement.call(this, tip, this._element) :\n      this._config.placement\n    const attachment = AttachmentMap[placement.toUpperCase()]\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _resolvePossibleFunction(arg) {\n    return typeof arg === 'function' ? arg.call(this._element) : arg\n  }\n\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [\n        {\n          name: 'flip',\n          options: {\n            fallbackPlacements: this._config.fallbackPlacements\n          }\n        },\n        {\n          name: 'offset',\n          options: {\n            offset: this._getOffset()\n          }\n        },\n        {\n          name: 'preventOverflow',\n          options: {\n            boundary: this._config.boundary\n          }\n        },\n        {\n          name: 'arrow',\n          options: {\n            element: `.${this.constructor.NAME}-arrow`\n          }\n        },\n        {\n          name: 'preSetPlacement',\n          enabled: true,\n          phase: 'beforeMain',\n          fn: data => {\n            // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n            // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n            this._getTipElement().setAttribute('data-popper-placement', data.state.placement)\n          }\n        }\n      ]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n    }\n  }\n\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ')\n\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context.toggle()\n        })\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ?\n          this.constructor.eventName(EVENT_MOUSEENTER) :\n          this.constructor.eventName(EVENT_FOCUSIN)\n        const eventOut = trigger === TRIGGER_HOVER ?\n          this.constructor.eventName(EVENT_MOUSELEAVE) :\n          this.constructor.eventName(EVENT_FOCUSOUT)\n\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true\n          context._enter()\n        })\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] =\n            context._element.contains(event.relatedTarget)\n\n          context._leave()\n        })\n      }\n    }\n\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide()\n      }\n    }\n\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n  }\n\n  _fixTitle() {\n    const title = this._element.getAttribute('title')\n\n    if (!title) {\n      return\n    }\n\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title)\n    }\n\n    this._element.setAttribute('data-bs-original-title', title) // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title')\n  }\n\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true\n      return\n    }\n\n    this._isHovered = true\n\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show()\n      }\n    }, this._config.delay.show)\n  }\n\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return\n    }\n\n    this._isHovered = false\n\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide()\n      }\n    }, this._config.delay.hide)\n  }\n\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout)\n    this._timeout = setTimeout(handler, timeout)\n  }\n\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true)\n  }\n\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute]\n      }\n    }\n\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    }\n    config = this._mergeConfigObj(config)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container)\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      }\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString()\n    }\n\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString()\n    }\n\n    return config\n  }\n\n  _getDelegateConfig() {\n    const config = {}\n\n    for (const key in this._config) {\n      if (this.constructor.Default[key] !== this._config[key]) {\n        config[key] = this._config[key]\n      }\n    }\n\n    config.selector = false\n    config.trigger = 'manual'\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config\n  }\n\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy()\n      this._popper = null\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport Tooltip from './tooltip'\n\n/**\n * Constants\n */\n\nconst NAME = 'popover'\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\nconst Default = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' +\n    '<div class=\"popover-arrow\"></div>' +\n    '<h3 class=\"popover-header\"></h3>' +\n    '<div class=\"popover-body\"></div>' +\n    '</div>',\n  trigger: 'click'\n}\n\nconst DefaultType = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n}\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent()\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    }\n  }\n\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content)\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin, getElement, isDisabled, isVisible } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_CLICK = `click${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_TARGET_LINKS = '[href]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst Default = {\n  offset: null, // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n}\n\nconst DefaultType = {\n  offset: '(number|null)', // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n}\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map()\n    this._observableSections = new Map()\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element\n    this._activeTarget = null\n    this._observer = null\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    }\n    this.refresh() // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables()\n    this._maybeEnableSmoothScroll()\n\n    if (this._observer) {\n      this._observer.disconnect()\n    } else {\n      this._observer = this._getNewObserver()\n    }\n\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section)\n    }\n  }\n\n  dispose() {\n    this._observer.disconnect()\n    super.dispose()\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin\n\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value))\n    }\n\n    return config\n  }\n\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK)\n\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash)\n      if (observableSection) {\n        event.preventDefault()\n        const root = this._rootElement || window\n        const height = observableSection.offsetTop - this._element.offsetTop\n        if (root.scrollTo) {\n          root.scrollTo({ top: height, behavior: 'smooth' })\n          return\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height\n      }\n    })\n  }\n\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    }\n\n    return new IntersectionObserver(entries => this._observerCallback(entries), options)\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`)\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop\n      this._process(targetElement(entry))\n    }\n\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop\n    this._previousScrollData.parentScrollTop = parentScrollTop\n\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null\n        this._clearActiveClass(targetElement(entry))\n\n        continue\n      }\n\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry)\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return\n        }\n\n        continue\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry)\n      }\n    }\n  }\n\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map()\n    this._observableSections = new Map()\n\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target)\n\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue\n      }\n\n      const observableSection = SelectorEngine.findOne(anchor.hash, this._element)\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(anchor.hash, anchor)\n        this._observableSections.set(anchor.hash, observableSection)\n      }\n    }\n  }\n\n  _process(target) {\n    if (this._activeTarget === target) {\n      return\n    }\n\n    this._clearActiveClass(this._config.target)\n    this._activeTarget = target\n    target.classList.add(CLASS_NAME_ACTIVE)\n    this._activateParents(target)\n\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, { relatedTarget: target })\n  }\n\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, target.closest(SELECTOR_DROPDOWN))\n        .classList.add(CLASS_NAME_ACTIVE)\n      return\n    }\n\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE)\n      }\n    }\n  }\n\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE)\n\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE}`, parent)\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE)\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy)\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy)\n\nexport default ScrollSpy\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin, getElementFromSelector, getNextActiveElement, isDisabled } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'tab'\nconst DATA_KEY = 'bs.tab'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}`\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_DROPDOWN = 'dropdown'\n\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu'\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = ':not(.dropdown-toggle)'\n\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]'\nconst SELECTOR_OUTER = '.nav-item, .list-group-item'\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]' // todo:v6: could be only `tab`\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`\n\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element)\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL)\n\n    if (!this._parent) {\n      return\n      // todo: should Throw exception on v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren())\n\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show() { // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element\n    if (this._elemIsActive(innerElem)) {\n      return\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem()\n\n    const hideEvent = active ?\n      EventHandler.trigger(active, EVENT_HIDE, { relatedTarget: innerElem }) :\n      null\n\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW, { relatedTarget: active })\n\n    if (showEvent.defaultPrevented || (hideEvent && hideEvent.defaultPrevented)) {\n      return\n    }\n\n    this._deactivate(active, innerElem)\n    this._activate(innerElem, active)\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return\n    }\n\n    element.classList.add(CLASS_NAME_ACTIVE)\n\n    this._activate(getElementFromSelector(element)) // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW)\n        return\n      }\n\n      element.removeAttribute('tabindex')\n      element.setAttribute('aria-selected', true)\n      this._toggleDropDown(element, true)\n      EventHandler.trigger(element, EVENT_SHOWN, {\n        relatedTarget: relatedElem\n      })\n    }\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return\n    }\n\n    element.classList.remove(CLASS_NAME_ACTIVE)\n    element.blur()\n\n    this._deactivate(getElementFromSelector(element)) // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW)\n        return\n      }\n\n      element.setAttribute('aria-selected', false)\n      element.setAttribute('tabindex', '-1')\n      this._toggleDropDown(element, false)\n      EventHandler.trigger(element, EVENT_HIDDEN, { relatedTarget: relatedElem })\n    }\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _keydown(event) {\n    if (!([ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key))) {\n      return\n    }\n\n    event.stopPropagation()// stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault()\n    const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key)\n    const nextActiveElement = getNextActiveElement(this._getChildren().filter(element => !isDisabled(element)), event.target, isNext, true)\n\n    if (nextActiveElement) {\n      nextActiveElement.focus({ preventScroll: true })\n      Tab.getOrCreateInstance(nextActiveElement).show()\n    }\n  }\n\n  _getChildren() { // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent)\n  }\n\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null\n  }\n\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist')\n\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child)\n    }\n  }\n\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child)\n    const isActive = this._elemIsActive(child)\n    const outerElem = this._getOuterElement(child)\n    child.setAttribute('aria-selected', isActive)\n\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation')\n    }\n\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1')\n    }\n\n    this._setAttributeIfNotExists(child, 'role', 'tab')\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child)\n  }\n\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = getElementFromSelector(child)\n\n    if (!target) {\n      return\n    }\n\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel')\n\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `#${child.id}`)\n    }\n  }\n\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element)\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return\n    }\n\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem)\n      if (element) {\n        element.classList.toggle(className, open)\n      }\n    }\n\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE)\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW)\n    outerElem.setAttribute('aria-expanded', open)\n  }\n\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value)\n    }\n  }\n\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE)\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem)\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  Tab.getOrCreateInstance(this).show()\n})\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element)\n  }\n})\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab)\n\nexport default Tab\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin, reflow } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * Constants\n */\n\nconst NAME = 'toast'\nconst DATA_KEY = 'bs.toast'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_HIDE = 'hide' // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\n\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n}\n\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n}\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._timeout = null\n    this._hasMouseInteraction = false\n    this._hasKeyboardInteraction = false\n    this._setListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._clearTimeout()\n\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE)\n    }\n\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n\n      this._maybeScheduleHide()\n    }\n\n    this._element.classList.remove(CLASS_NAME_HIDE) // @deprecated\n    reflow(this._element)\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING)\n\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  hide() {\n    if (!this.isShown()) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE) // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.classList.add(CLASS_NAME_SHOWING)\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  dispose() {\n    this._clearTimeout()\n\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW)\n    }\n\n    super.dispose()\n  }\n\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return\n    }\n\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return\n    }\n\n    this._timeout = setTimeout(() => {\n      this.hide()\n    }, this._config.delay)\n  }\n\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout': {\n        this._hasMouseInteraction = isInteracting\n        break\n      }\n\n      case 'focusin':\n      case 'focusout': {\n        this._hasKeyboardInteraction = isInteracting\n        break\n      }\n\n      default: {\n        break\n      }\n    }\n\n    if (isInteracting) {\n      this._clearTimeout()\n      return\n    }\n\n    const nextElement = event.relatedTarget\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return\n    }\n\n    this._maybeScheduleHide()\n  }\n\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false))\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false))\n  }\n\n  _clearTimeout() {\n    clearTimeout(this._timeout)\n    this._timeout = null\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config](this)\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast)\n\nexport default Toast\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): index.umd.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Alert from './src/alert'\nimport Button from './src/button'\nimport Carousel from './src/carousel'\nimport Collapse from './src/collapse'\nimport Dropdown from './src/dropdown'\nimport Modal from './src/modal'\nimport Offcanvas from './src/offcanvas'\nimport Popover from './src/popover'\nimport ScrollSpy from './src/scrollspy'\nimport Tab from './src/tab'\nimport Toast from './src/toast'\nimport Tooltip from './src/tooltip'\n\nexport default {\n  Alert,\n  Button,\n  Carousel,\n  Collapse,\n  Dropdown,\n  Modal,\n  Offcanvas,\n  Popover,\n  ScrollSpy,\n  Tab,\n  Toast,\n  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\ No newline at end of file
diff --git a/deps/bootstrap-5.2.2/bootstrap.min.css b/deps/bootstrap-5.2.2/bootstrap.min.css
deleted file mode 100644
index f5babde..0000000
--- a/deps/bootstrap-5.2.2/bootstrap.min.css
+++ /dev/null
@@ -1,6 +0,0 @@
-/*!
-   * Bootstrap  v5.2.2 (https://getbootstrap.com/)
-   * Copyright 2011-2022 The Bootstrap Authors
-   * Copyright 2011-2022 Twitter, Inc.
-   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
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3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #0d6efd;--bs-btn-disabled-border-color: #0d6efd}.btn-secondary{--bs-btn-color: #fff;--bs-btn-bg: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #5c636a;--bs-btn-hover-border-color: #565e64;--bs-btn-focus-shadow-rgb: 130,138,145;--bs-btn-active-color: #fff;--bs-btn-active-bg: #565e64;--bs-btn-active-border-color: #51585e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #6c757d;--bs-btn-disabled-border-color: #6c757d}.btn-success{--bs-btn-color: #fff;--bs-btn-bg: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #157347;--bs-btn-hover-border-color: #146c43;--bs-btn-focus-shadow-rgb: 60,153,110;--bs-btn-active-color: #fff;--bs-btn-active-bg: #146c43;--bs-btn-active-border-color: #13653f;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #198754;--bs-btn-disabled-border-color: #198754}.btn-info{--bs-btn-color: #000;--bs-btn-bg: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #31d2f2;--bs-btn-hover-border-color: #25cff2;--bs-btn-focus-shadow-rgb: 11,172,204;--bs-btn-active-color: #000;--bs-btn-active-bg: #3dd5f3;--bs-btn-active-border-color: #25cff2;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #0dcaf0;--bs-btn-disabled-border-color: #0dcaf0}.btn-warning{--bs-btn-color: #000;--bs-btn-bg: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffca2c;--bs-btn-hover-border-color: #ffc720;--bs-btn-focus-shadow-rgb: 217,164,6;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffcd39;--bs-btn-active-border-color: #ffc720;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #ffc107;--bs-btn-disabled-border-color: #ffc107}.btn-danger{--bs-btn-color: #fff;--bs-btn-bg: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #bb2d3b;--bs-btn-hover-border-color: #b02a37;--bs-btn-focus-shadow-rgb: 225,83,97;--bs-btn-active-color: #fff;--bs-btn-active-bg: #b02a37;--bs-btn-active-border-color: #a52834;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #dc3545;--bs-btn-disabled-border-color: #dc3545}.btn-light{--bs-btn-color: #000;--bs-btn-bg: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #d3d4d5;--bs-btn-hover-border-color: #c6c7c8;--bs-btn-focus-shadow-rgb: 211,212,213;--bs-btn-active-color: #000;--bs-btn-active-bg: #c6c7c8;--bs-btn-active-border-color: #babbbc;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #f8f9fa;--bs-btn-disabled-border-color: #f8f9fa}.btn-dark{--bs-btn-color: #fff;--bs-btn-bg: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #424649;--bs-btn-hover-border-color: #373b3e;--bs-btn-focus-shadow-rgb: 66,70,73;--bs-btn-active-color: #fff;--bs-btn-active-bg: #4d5154;--bs-btn-active-border-color: #373b3e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #212529;--bs-btn-disabled-border-color: #212529}.btn-outline-default{--bs-btn-color: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #dee2e6;--bs-btn-hover-border-color: #dee2e6;--bs-btn-focus-shadow-rgb: 222,226,230;--bs-btn-active-color: #000;--bs-btn-active-bg: #dee2e6;--bs-btn-active-border-color: #dee2e6;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dee2e6;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dee2e6;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-primary{--bs-btn-color: #0d6efd;--bs-btn-border-color: #0d6efd;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #0d6efd;--bs-btn-hover-border-color: #0d6efd;--bs-btn-focus-shadow-rgb: 13,110,253;--bs-btn-active-color: #fff;--bs-btn-active-bg: #0d6efd;--bs-btn-active-border-color: #0d6efd;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0d6efd;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0d6efd;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-secondary{--bs-btn-color: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #6c757d;--bs-btn-hover-border-color: #6c757d;--bs-btn-focus-shadow-rgb: 108,117,125;--bs-btn-active-color: #fff;--bs-btn-active-bg: #6c757d;--bs-btn-active-border-color: #6c757d;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #6c757d;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-success{--bs-btn-color: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #198754;--bs-btn-hover-border-color: #198754;--bs-btn-focus-shadow-rgb: 25,135,84;--bs-btn-active-color: #fff;--bs-btn-active-bg: #198754;--bs-btn-active-border-color: #198754;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #198754;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #198754;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #0dcaf0;--bs-btn-hover-border-color: #0dcaf0;--bs-btn-focus-shadow-rgb: 13,202,240;--bs-btn-active-color: #000;--bs-btn-active-bg: #0dcaf0;--bs-btn-active-border-color: #0dcaf0;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0dcaf0;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0dcaf0;--bs-btn-bg: transparent;--bs-gradient: 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transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f9fa;--bs-btn-hover-border-color: #f8f9fa;--bs-btn-focus-shadow-rgb: 248,249,250;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f9fa;--bs-btn-active-border-color: #f8f9fa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f9fa;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f9fa;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #212529;--bs-btn-hover-border-color: #212529;--bs-btn-focus-shadow-rgb: 33,37,41;--bs-btn-active-color: #fff;--bs-btn-active-bg: #212529;--bs-btn-active-border-color: #212529;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #212529;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #212529;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: none;--bs-btn-focus-shadow-rgb: 49,132,253;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: .5rem}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: 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10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: #212529;--bs-dropdown-bg: #fff;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: .375rem;--bs-dropdown-border-width: 1px;--bs-dropdown-inner-border-radius: calc(.375rem - 1px);--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: #212529;--bs-dropdown-link-hover-color: #1e2125;--bs-dropdown-link-hover-bg: #e9ecef;--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: 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768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup 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var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:.375rem}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:-1px}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:-1px}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: 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var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 1px solid var(--bs-alert-border-color);--bs-alert-border-radius: .375rem;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: #595a5c;--bs-alert-bg: #f8f9fa;--bs-alert-border-color: #f5f6f8}.alert-default .alert-link{color:#47484a}.alert-primary{--bs-alert-color: #084298;--bs-alert-bg: #cfe2ff;--bs-alert-border-color: #b6d4fe}.alert-primary .alert-link{color:#06357a}.alert-secondary{--bs-alert-color: #41464b;--bs-alert-bg: #e2e3e5;--bs-alert-border-color: #d3d6d8}.alert-secondary .alert-link{color:#34383c}.alert-success{--bs-alert-color: #0f5132;--bs-alert-bg: #d1e7dd;--bs-alert-border-color: #badbcc}.alert-success .alert-link{color:#0c4128}.alert-info{--bs-alert-color: #055160;--bs-alert-bg: #cff4fc;--bs-alert-border-color: #b6effb}.alert-info .alert-link{color:#04414d}.alert-warning{--bs-alert-color: #664d03;--bs-alert-bg: #fff3cd;--bs-alert-border-color: #ffecb5}.alert-warning .alert-link{color:#523e02}.alert-danger{--bs-alert-color: #842029;--bs-alert-bg: #f8d7da;--bs-alert-border-color: 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reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #212529;--bs-list-group-bg: #fff;--bs-list-group-border-color: rgba(0,0,0,0.125);--bs-list-group-border-width: 1px;--bs-list-group-border-radius: .375rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: #495057;--bs-list-group-action-hover-color: #495057;--bs-list-group-action-hover-bg: #f8f9fa;--bs-list-group-action-active-color: #212529;--bs-list-group-action-active-bg: #e9ecef;--bs-list-group-disabled-color: #6c757d;--bs-list-group-disabled-bg: #fff;--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: 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";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid 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576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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diff --git a/deps/bootstrap-5.3.1/bootstrap.bundle.min.js b/deps/bootstrap-5.3.1/bootstrap.bundle.min.js
new file mode 100644
index 0000000..e8f21f7
--- /dev/null
+++ b/deps/bootstrap-5.3.1/bootstrap.bundle.min.js
@@ -0,0 +1,7 @@
+/*!
+  * Bootstrap v5.3.1 (https://getbootstrap.com/)
+  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+  */
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s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var fi={placement:"bottom",modifiers:[],strategy:"absolute"};function pi(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function mi(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?fi:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},fi,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){var s="function"==typeof 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vi=Object.freeze(Object.defineProperty({__proto__:null,afterMain:ae,afterRead:se,afterWrite:he,applyStyles:_e,arrow:je,auto:Kt,basePlacements:Qt,beforeMain:oe,beforeRead:ie,beforeWrite:le,bottom:Rt,clippingParents:Ut,computeStyles:Be,createPopper:bi,createPopperBase:gi,createPopperLite:_i,detectOverflow:ii,end:Yt,eventListeners:Re,flip:si,hide:ai,left:Vt,main:re,modifierPhases:de,offset:li,placements:ee,popper:Jt,popperGenerator:mi,popperOffsets:ci,preventOverflow:hi,read:ne,reference:Zt,right:qt,start:Xt,top:zt,variationPlacements:te,viewport:Gt,write:ce},Symbol.toStringTag,{value:"Module"})),yi="dropdown",wi=".bs.dropdown",Ai=".data-api",Ei="ArrowUp",Ti="ArrowDown",Ci=`hide${wi}`,Oi=`hidden${wi}`,xi=`show${wi}`,ki=`shown${wi}`,Li=`click${wi}${Ai}`,Si=`keydown${wi}${Ai}`,Di=`keyup${wi}${Ai}`,$i="show",Ii='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Ni=`${Ii}.${$i}`,Pi=".dropdown-menu",Mi=p()?"top-end":"top-start",ji=p()?"top-start":"top-end",Fi=p()?"bottom-end":"bottom-start",Hi=p()?"bottom-start":"bottom-end",Wi=p()?"left-start":"right-start",Bi=p()?"right-start":"left-start",zi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class qi extends W{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=z.next(this._element,Pi)[0]||z.prev(this._element,Pi)[0]||z.findOne(Pi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return zi}static get DefaultType(){return Ri}static get NAME(){return yi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(l(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!N.trigger(this._element,xi,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add($i),this._element.classList.add($i),N.trigger(this._element,ki,t)}}hide(){if(l(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!N.trigger(this._element,Ci,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._popper&&this._popper.destroy(),this._menu.classList.remove($i),this._element.classList.remove($i),this._element.setAttribute("aria-expanded","false"),F.removeDataAttribute(this._menu,"popper"),N.trigger(this._element,Oi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${yi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===vi)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:o(this._config.reference)?t=r(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const e=this._getPopperConfig();this._popper=bi(t,this._menu,e)}_isShown(){return this._menu.classList.contains($i)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Wi;if(t.classList.contains("dropstart"))return Bi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ji:Mi:e?Hi:Fi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(F.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...g(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=z.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>a(t)));i.length&&b(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=qi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=z.find(Ni);for(const i of e){const e=qi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ei,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:z.prev(this,Ii)[0]||z.next(this,Ii)[0]||z.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}N.on(document,Si,Ii,qi.dataApiKeydownHandler),N.on(document,Si,Pi,qi.dataApiKeydownHandler),N.on(document,Li,qi.clearMenus),N.on(document,Di,qi.clearMenus),N.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),m(qi);const Vi="backdrop",Ki="show",Qi=`mousedown.bs.${Vi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Yi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends H{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Yn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),N.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return 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object[0] : object\n  }\n\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object))\n  }\n\n  return null\n}\n\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false\n  }\n\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])')\n\n  if (!closedDetails) {\n    return elementIsVisible\n  }\n\n  if (closedDetails !== element) {\n    const summary = element.closest('summary')\n    if (summary && summary.parentNode !== closedDetails) {\n      return false\n    }\n\n    if (summary === null) {\n      return false\n    }\n  }\n\n  return elementIsVisible\n}\n\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true\n  }\n\n  if (element.classList.contains('disabled')) {\n    return true\n  }\n\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled\n  }\n\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode()\n    return root instanceof ShadowRoot ? root : null\n  }\n\n  if (element instanceof ShadowRoot) {\n    return element\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null\n  }\n\n  return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight // eslint-disable-line no-unused-expressions\n}\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery\n  }\n\n  return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback()\n        }\n      })\n    }\n\n    DOMContentLoadedCallbacks.push(callback)\n  } else {\n    callback()\n  }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery()\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME\n      const JQUERY_NO_CONFLICT = $.fn[name]\n      $.fn[name] = plugin.jQueryInterface\n      $.fn[name].Constructor = plugin\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT\n        return plugin.jQueryInterface\n      }\n    }\n  })\n}\n\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback)\n    return\n  }\n\n  const durationPadding = 5\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n  let called = false\n\n  const handler = ({ target }) => {\n    if (target !== transitionElement) {\n      return\n    }\n\n    called = true\n    transitionElement.removeEventListener(TRANSITION_END, handler)\n    execute(callback)\n  }\n\n  transitionElement.addEventListener(TRANSITION_END, handler)\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement)\n    }\n  }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length\n  let index = list.indexOf(activeElement)\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0]\n  }\n\n  index += shouldGetNext ? 1 : -1\n\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength\n  }\n\n  return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n  defineJQueryPlugin,\n  execute,\n  executeAfterTransition,\n  findShadowRoot,\n  getElement,\n  getjQuery,\n  getNextActiveElement,\n  getTransitionDurationFromElement,\n  getUID,\n  isDisabled,\n  isElement,\n  isRTL,\n  isVisible,\n  noop,\n  onDOMContentLoaded,\n  parseSelector,\n  reflow,\n  triggerTransitionEnd,\n  toType\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index.js'\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n}\n\nconst nativeEvents = new Set([\n  'click',\n  'dblclick',\n  'mouseup',\n  'mousedown',\n  'contextmenu',\n  'mousewheel',\n  'DOMMouseScroll',\n  'mouseover',\n  'mouseout',\n  'mousemove',\n  'selectstart',\n  'selectend',\n  'keydown',\n  'keypress',\n  'keyup',\n  'orientationchange',\n  'touchstart',\n  'touchmove',\n  'touchend',\n  'touchcancel',\n  'pointerdown',\n  'pointermove',\n  'pointerup',\n  'pointerleave',\n  'pointercancel',\n  'gesturestart',\n  'gesturechange',\n  'gestureend',\n  'focus',\n  'blur',\n  'change',\n  'reset',\n  'select',\n  'submit',\n  'focusin',\n  'focusout',\n  'load',\n  'unload',\n  'beforeunload',\n  'resize',\n  'move',\n  'DOMContentLoaded',\n  'readystatechange',\n  'error',\n  'abort',\n  'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element)\n\n  element.uidEvent = uid\n  eventRegistry[uid] = eventRegistry[uid] || {}\n\n  return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, { delegateTarget: element })\n\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn)\n    }\n\n    return fn.apply(element, [event])\n  }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector)\n\n    for (let { target } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue\n        }\n\n        hydrateObj(event, { delegateTarget: target })\n\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn)\n        }\n\n        return fn.apply(target, [event])\n      }\n    }\n  }\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events)\n    .find(event => event.callable === callable && event.delegationSelector === delegationSelector)\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string'\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : (handler || delegationFunction)\n  let typeEvent = getTypeEvent(originalTypeEvent)\n\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent\n  }\n\n  return [isDelegated, callable, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return\n  }\n\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n          return fn.call(this, event)\n        }\n      }\n    }\n\n    callable = wrapFunction(callable)\n  }\n\n  const events = getElementEvents(element)\n  const handlers = events[typeEvent] || (events[typeEvent] = {})\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null)\n\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff\n\n    return\n  }\n\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''))\n  const fn = isDelegated ?\n    bootstrapDelegationHandler(element, handler, callable) :\n    bootstrapHandler(element, callable)\n\n  fn.delegationSelector = isDelegated ? handler : null\n  fn.callable = callable\n  fn.oneOff = oneOff\n  fn.uidEvent = uid\n  handlers[uid] = fn\n\n  element.addEventListener(typeEvent, fn, isDelegated)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n  if (!fn) {\n    return\n  }\n\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n  delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {}\n\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n    }\n  }\n}\n\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '')\n  return customEvents[event] || event\n}\n\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false)\n  },\n\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true)\n  },\n\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return\n    }\n\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n    const inNamespace = typeEvent !== originalTypeEvent\n    const events = getElementEvents(element)\n    const storeElementEvent = events[typeEvent] || {}\n    const isNamespace = originalTypeEvent.startsWith('.')\n\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return\n      }\n\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null)\n      return\n    }\n\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n      }\n    }\n\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n      }\n    }\n  },\n\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null\n    }\n\n    const $ = getjQuery()\n    const typeEvent = getTypeEvent(event)\n    const inNamespace = event !== typeEvent\n\n    let jQueryEvent = null\n    let bubbles = true\n    let nativeDispatch = true\n    let defaultPrevented = false\n\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args)\n\n      $(element).trigger(jQueryEvent)\n      bubbles = !jQueryEvent.isPropagationStopped()\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n      defaultPrevented = jQueryEvent.isDefaultPrevented()\n    }\n\n    const evt = hydrateObj(new Event(event, { bubbles, cancelable: true }), args)\n\n    if (defaultPrevented) {\n      evt.preventDefault()\n    }\n\n    if (nativeDispatch) {\n      element.dispatchEvent(evt)\n    }\n\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault()\n    }\n\n    return evt\n  }\n}\n\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value\n    } catch {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value\n        }\n      })\n    }\n  }\n\n  return obj\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true\n  }\n\n  if (value === 'false') {\n    return false\n  }\n\n  if (value === Number(value).toString()) {\n    return Number(value)\n  }\n\n  if (value === '' || value === 'null') {\n    return null\n  }\n\n  if (typeof value !== 'string') {\n    return value\n  }\n\n  try {\n    return JSON.parse(decodeURIComponent(value))\n  } catch {\n    return value\n  }\n}\n\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n  },\n\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n  },\n\n  getDataAttributes(element) {\n    if (!element) {\n      return {}\n    }\n\n    const attributes = {}\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'))\n\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '')\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n      attributes[pureKey] = normalizeData(element.dataset[key])\n    }\n\n    return attributes\n  },\n\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n  }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport { isElement, toType } from './index.js'\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {}\n  }\n\n  static get DefaultType() {\n    return {}\n  }\n\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!')\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    return config\n  }\n\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {} // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    }\n  }\n\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property]\n      const valueType = isElement(value) ? 'element' : toType(value)\n\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(\n          `${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n        )\n      }\n    }\n  }\n}\n\nexport default Config\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data.js'\nimport EventHandler from './dom/event-handler.js'\nimport Config from './util/config.js'\nimport { executeAfterTransition, getElement } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.1'\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super()\n\n    element = getElement(element)\n    if (!element) {\n      return\n    }\n\n    this._element = element\n    this._config = this._getConfig(config)\n\n    Data.set(this._element, this.constructor.DATA_KEY, this)\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY)\n    EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null\n    }\n  }\n\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated)\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY)\n  }\n\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n  }\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`\n  }\n\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`\n  }\n\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`\n  }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isDisabled, isVisible, parseSelector } from '../util/index.js'\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target')\n\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href')\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || (!hrefAttribute.includes('#') && !hrefAttribute.startsWith('.'))) {\n      return null\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`\n    }\n\n    selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null\n  }\n\n  return parseSelector(selector)\n}\n\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector))\n  },\n\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector)\n  },\n\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector))\n  },\n\n  parents(element, selector) {\n    const parents = []\n    let ancestor = element.parentNode.closest(selector)\n\n    while (ancestor) {\n      parents.push(ancestor)\n      ancestor = ancestor.parentNode.closest(selector)\n    }\n\n    return parents\n  },\n\n  prev(element, selector) {\n    let previous = element.previousElementSibling\n\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous]\n      }\n\n      previous = previous.previousElementSibling\n    }\n\n    return []\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling\n\n    while (next) {\n      if (next.matches(selector)) {\n        return [next]\n      }\n\n      next = next.nextElementSibling\n    }\n\n    return []\n  },\n\n  focusableChildren(element) {\n    const focusables = [\n      'a',\n      'button',\n      'input',\n      'textarea',\n      'select',\n      'details',\n      '[tabindex]',\n      '[contenteditable=\"true\"]'\n    ].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',')\n\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el))\n  },\n\n  getSelectorFromElement(element) {\n    const selector = getSelector(element)\n\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null\n    }\n\n    return null\n  },\n\n  getElementFromSelector(element) {\n    const selector = getSelector(element)\n\n    return selector ? SelectorEngine.findOne(selector) : null\n  },\n\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element)\n\n    return selector ? SelectorEngine.find(selector) : []\n  }\n}\n\nexport default SelectorEngine\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isDisabled } from './index.js'\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`\n  const name = component.NAME\n\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault()\n    }\n\n    if (isDisabled(this)) {\n      return\n    }\n\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`)\n    const instance = component.getOrCreateInstance(target)\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]()\n  })\n}\n\nexport {\n  enableDismissTrigger\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE)\n\n    if (closeEvent.defaultPrevented) {\n      return\n    }\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE)\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated)\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove()\n    EventHandler.trigger(this._element, EVENT_CLOSED)\n    this.dispose()\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close')\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this)\n\n      if (config === 'toggle') {\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n  event.preventDefault()\n\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n  const data = Button.getOrCreateInstance(button)\n\n  data.toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'swipe'\nconst EVENT_KEY = '.bs.swipe'\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n}\n\nconst DefaultType = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n}\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super()\n    this._element = element\n\n    if (!element || !Swipe.isSupported()) {\n      return\n    }\n\n    this._config = this._getConfig(config)\n    this._deltaX = 0\n    this._supportPointerEvents = Boolean(window.PointerEvent)\n    this._initEvents()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY)\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX\n\n      return\n    }\n\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX\n    }\n  }\n\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX\n    }\n\n    this._handleSwipe()\n    execute(this._config.endCallback)\n  }\n\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ?\n      0 :\n      event.touches[0].clientX - this._deltaX\n  }\n\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX)\n\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return\n    }\n\n    const direction = absDeltaX / this._deltaX\n\n    this._deltaX = 0\n\n    if (!direction) {\n      return\n    }\n\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback)\n  }\n\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event))\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event))\n\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event))\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event))\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event))\n    }\n  }\n\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n  }\n}\n\nexport default Swipe\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n  defineJQueryPlugin,\n  getNextActiveElement,\n  isRTL,\n  isVisible,\n  reflow,\n  triggerTransitionEnd\n} from './util/index.js'\nimport Swipe from './util/swipe.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst Default = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n}\n\nconst DefaultType = {\n  interval: '(number|boolean)', // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._interval = null\n    this._activeElement = null\n    this._isSliding = false\n    this.touchTimeout = null\n    this._swipeHelper = null\n\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n    this._addEventListeners()\n\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT)\n  }\n\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next()\n    }\n  }\n\n  prev() {\n    this._slide(ORDER_PREV)\n  }\n\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element)\n    }\n\n    this._clearInterval()\n  }\n\n  cycle() {\n    this._clearInterval()\n    this._updateInterval()\n\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval)\n  }\n\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle())\n      return\n    }\n\n    this.cycle()\n  }\n\n  to(index) {\n    const items = this._getItems()\n    if (index > items.length - 1 || index < 0) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n      return\n    }\n\n    const activeIndex = this._getItemIndex(this._getActive())\n    if (activeIndex === index) {\n      return\n    }\n\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV\n\n    this._slide(order, items[index])\n  }\n\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose()\n    }\n\n    super.dispose()\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval\n    return config\n  }\n\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n    }\n\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER, () => this.pause())\n      EventHandler.on(this._element, EVENT_MOUSELEAVE, () => this._maybeEnableCycle())\n    }\n\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners()\n    }\n  }\n\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault())\n    }\n\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause()\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout)\n      }\n\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n    }\n\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    }\n\n    this._swipeHelper = new Swipe(this._element, swipeConfig)\n  }\n\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return\n    }\n\n    const direction = KEY_TO_DIRECTION[event.key]\n    if (direction) {\n      event.preventDefault()\n      this._slide(this._directionToOrder(direction))\n    }\n  }\n\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element)\n  }\n\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return\n    }\n\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n    activeIndicator.removeAttribute('aria-current')\n\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement)\n\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE)\n      newActiveIndicator.setAttribute('aria-current', 'true')\n    }\n  }\n\n  _updateInterval() {\n    const element = this._activeElement || this._getActive()\n\n    if (!element) {\n      return\n    }\n\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n    this._config.interval = elementInterval || this._config.defaultInterval\n  }\n\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return\n    }\n\n    const activeElement = this._getActive()\n    const isNext = order === ORDER_NEXT\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap)\n\n    if (nextElement === activeElement) {\n      return\n    }\n\n    const nextElementIndex = this._getItemIndex(nextElement)\n\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      })\n    }\n\n    const slideEvent = triggerEvent(EVENT_SLIDE)\n\n    if (slideEvent.defaultPrevented) {\n      return\n    }\n\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return\n    }\n\n    const isCycling = Boolean(this._interval)\n    this.pause()\n\n    this._isSliding = true\n\n    this._setActiveIndicatorElement(nextElementIndex)\n    this._activeElement = nextElement\n\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n\n    nextElement.classList.add(orderClassName)\n\n    reflow(nextElement)\n\n    activeElement.classList.add(directionalClassName)\n    nextElement.classList.add(directionalClassName)\n\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName)\n      nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n      activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n      this._isSliding = false\n\n      triggerEvent(EVENT_SLID)\n    }\n\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated())\n\n    if (isCycling) {\n      this.cycle()\n    }\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE)\n  }\n\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n  }\n\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element)\n  }\n\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval)\n      this._interval = null\n    }\n  }\n\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n    }\n\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n  }\n\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n    }\n\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config)\n\n      if (typeof config === 'number') {\n        data.to(config)\n        return\n      }\n\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this)\n\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return\n  }\n\n  event.preventDefault()\n\n  const carousel = Carousel.getOrCreateInstance(target)\n  const slideIndex = this.getAttribute('data-bs-slide-to')\n\n  if (slideIndex) {\n    carousel.to(slideIndex)\n    carousel._maybeEnableCycle()\n    return\n  }\n\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next()\n    carousel._maybeEnableCycle()\n    return\n  }\n\n  carousel.prev()\n  carousel._maybeEnableCycle()\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel)\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n  defineJQueryPlugin,\n  getElement,\n  reflow\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\nconst Default = {\n  parent: null,\n  toggle: true\n}\n\nconst DefaultType = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._isTransitioning = false\n    this._triggerArray = []\n\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem)\n      const filterElement = SelectorEngine.find(selector)\n        .filter(foundElement => foundElement === this._element)\n\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem)\n      }\n    }\n\n    this._initializeChildren()\n\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown())\n    }\n\n    if (this._config.toggle) {\n      this.toggle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide()\n    } else {\n      this.show()\n    }\n  }\n\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return\n    }\n\n    let activeChildren = []\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES)\n        .filter(element => element !== this._element)\n        .map(element => Collapse.getOrCreateInstance(element, { toggle: false }))\n    }\n\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide()\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.classList.remove(CLASS_NAME_COLLAPSE)\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n    this._element.style[dimension] = 0\n\n    this._addAriaAndCollapsedClass(this._triggerArray, true)\n    this._isTransitioning = true\n\n    const complete = () => {\n      this._isTransitioning = false\n\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n      this._element.style[dimension] = ''\n\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n    }\n\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n    const scrollSize = `scroll${capitalizedDimension}`\n\n    this._queueCallback(complete, this._element, true)\n    this._element.style[dimension] = `${this._element[scrollSize]}px`\n  }\n\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger)\n\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false)\n      }\n    }\n\n    this._isTransitioning = true\n\n    const complete = () => {\n      this._isTransitioning = false\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.style[dimension] = ''\n\n    this._queueCallback(complete, this._element, true)\n  }\n\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle) // Coerce string values\n    config.parent = getElement(config.parent)\n    return config\n  }\n\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT\n  }\n\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return\n    }\n\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE)\n\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element)\n\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected))\n      }\n    }\n  }\n\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element))\n  }\n\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return\n    }\n\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen)\n      element.setAttribute('aria-expanded', isOpen)\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {}\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false\n    }\n\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n    event.preventDefault()\n  }\n\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, { toggle: false }).toggle()\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n  return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n  return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n  return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n  defineJQueryPlugin,\n  execute,\n  getElement,\n  getNextActiveElement,\n  isDisabled,\n  isElement,\n  isRTL,\n  isVisible,\n  noop\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center'\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)'\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE}.${CLASS_NAME_SHOW}`\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR = '.navbar'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\nconst PLACEMENT_TOPCENTER = 'top'\nconst PLACEMENT_BOTTOMCENTER = 'bottom'\n\nconst Default = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n}\n\nconst DefaultType = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n}\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._popper = null\n    this._parent = this._element.parentNode // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] ||\n      SelectorEngine.prev(this._element, SELECTOR_MENU)[0] ||\n      SelectorEngine.findOne(SELECTOR_MENU, this._parent)\n    this._inNavbar = this._detectNavbar()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show()\n  }\n\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._createPopper()\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop)\n      }\n    }\n\n    this._element.focus()\n    this._element.setAttribute('aria-expanded', true)\n\n    this._menu.classList.add(CLASS_NAME_SHOW)\n    this._element.classList.add(CLASS_NAME_SHOW)\n    EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n  }\n\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    this._completeHide(relatedTarget)\n  }\n\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    super.dispose()\n  }\n\n  update() {\n    this._inNavbar = this._detectNavbar()\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop)\n      }\n    }\n\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    this._menu.classList.remove(CLASS_NAME_SHOW)\n    this._element.classList.remove(CLASS_NAME_SHOW)\n    this._element.setAttribute('aria-expanded', 'false')\n    Manipulator.removeDataAttribute(this._menu, 'popper')\n    EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n  }\n\n  _getConfig(config) {\n    config = super._getConfig(config)\n\n    if (typeof config.reference === 'object' && !isElement(config.reference) &&\n      typeof config.reference.getBoundingClientRect !== 'function'\n    ) {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n    }\n\n    return config\n  }\n\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n    }\n\n    let referenceElement = this._element\n\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference)\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference\n    }\n\n    const popperConfig = this._getPopperConfig()\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n  }\n\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  _getPlacement() {\n    const parentDropdown = this._parent\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n    }\n\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n  }\n\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      },\n      {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    }\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static') // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    }\n  }\n\n  _selectMenuItem({ key, target }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element))\n\n    if (!items.length) {\n      return\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY)) {\n      return\n    }\n\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN)\n\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle)\n      if (!context || context._config.autoClose === false) {\n        continue\n      }\n\n      const composedPath = event.composedPath()\n      const isMenuTarget = composedPath.includes(context._menu)\n      if (\n        composedPath.includes(context._element) ||\n        (context._config.autoClose === 'inside' && !isMenuTarget) ||\n        (context._config.autoClose === 'outside' && isMenuTarget)\n      ) {\n        continue\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue\n      }\n\n      const relatedTarget = { relatedTarget: context._element }\n\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event\n      }\n\n      context._completeHide(relatedTarget)\n    }\n  }\n\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName)\n    const isEscapeEvent = event.key === ESCAPE_KEY\n    const isUpOrDownEvent = [ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)\n\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return\n    }\n\n    if (isInput && !isEscapeEvent) {\n      return\n    }\n\n    event.preventDefault()\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE) ?\n      this :\n      (SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0] ||\n        SelectorEngine.next(this, SELECTOR_DATA_TOGGLE)[0] ||\n        SelectorEngine.findOne(SELECTOR_DATA_TOGGLE, event.delegateTarget.parentNode))\n\n    const instance = Dropdown.getOrCreateInstance(getToggleButton)\n\n    if (isUpOrDownEvent) {\n      event.stopPropagation()\n      instance.show()\n      instance._selectMenuItem(event)\n      return\n    }\n\n    if (instance._isShown()) { // else is escape and we check if it is shown\n      event.stopPropagation()\n      instance.hide()\n      getToggleButton.focus()\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  event.preventDefault()\n  Dropdown.getOrCreateInstance(this).toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute, executeAfterTransition, getElement, reflow } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nconst Default = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n}\n\nconst DefaultType = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n}\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n    this._isAppended = false\n    this._element = null\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._append()\n\n    const element = this._getElement()\n    if (this._config.isAnimated) {\n      reflow(element)\n    }\n\n    element.classList.add(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      execute(callback)\n    })\n  }\n\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      this.dispose()\n      execute(callback)\n    })\n  }\n\n  dispose() {\n    if (!this._isAppended) {\n      return\n    }\n\n    EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n    this._element.remove()\n    this._isAppended = false\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div')\n      backdrop.className = this._config.className\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE)\n      }\n\n      this._element = backdrop\n    }\n\n    return this._element\n  }\n\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement)\n    return config\n  }\n\n  _append() {\n    if (this._isAppended) {\n      return\n    }\n\n    const element = this._getElement()\n    this._config.rootElement.append(element)\n\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback)\n    })\n\n    this._isAppended = true\n  }\n\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n  }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'focustrap'\nconst DATA_KEY = 'bs.focustrap'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY}`\n\nconst TAB_KEY = 'Tab'\nconst TAB_NAV_FORWARD = 'forward'\nconst TAB_NAV_BACKWARD = 'backward'\n\nconst Default = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n}\n\nconst DefaultType = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n}\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n    this._isActive = false\n    this._lastTabNavDirection = null\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return\n    }\n\n    if (this._config.autofocus) {\n      this._config.trapElement.focus()\n    }\n\n    EventHandler.off(document, EVENT_KEY) // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN, event => this._handleFocusin(event))\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event))\n\n    this._isActive = true\n  }\n\n  deactivate() {\n    if (!this._isActive) {\n      return\n    }\n\n    this._isActive = false\n    EventHandler.off(document, EVENT_KEY)\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const { trapElement } = this._config\n\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return\n    }\n\n    const elements = SelectorEngine.focusableChildren(trapElement)\n\n    if (elements.length === 0) {\n      trapElement.focus()\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus()\n    } else {\n      elements[0].focus()\n    }\n  }\n\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return\n    }\n\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD\n  }\n}\n\nexport default FocusTrap\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\nconst PROPERTY_PADDING = 'padding-right'\nconst PROPERTY_MARGIN = 'margin-right'\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth\n    return Math.abs(window.innerWidth - documentWidth)\n  }\n\n  hide() {\n    const width = this.getWidth()\n    this._disableOverFlow()\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width)\n  }\n\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow')\n    this._resetElementAttributes(this._element, PROPERTY_PADDING)\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING)\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN)\n  }\n\n  isOverflowing() {\n    return this.getWidth() > 0\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow')\n    this._element.style.overflow = 'hidden'\n  }\n\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth()\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return\n      }\n\n      this._saveInitialAttribute(element, styleProperty)\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty)\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`)\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty)\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue)\n    }\n  }\n\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty)\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty)\n        return\n      }\n\n      Manipulator.removeDataAttribute(element, styleProperty)\n      element.style.setProperty(styleProperty, value)\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector)\n      return\n    }\n\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel)\n    }\n  }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport { defineJQueryPlugin, isRTL, isVisible, reflow } from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst OPEN_SELECTOR = '.modal.show'\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\n\nconst Default = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n    this._backdrop = this._initializeBackDrop()\n    this._focustrap = this._initializeFocusTrap()\n    this._isShown = false\n    this._isTransitioning = false\n    this._scrollBar = new ScrollBarHelper()\n\n    this._addEventListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n      relatedTarget\n    })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._isTransitioning = true\n\n    this._scrollBar.hide()\n\n    document.body.classList.add(CLASS_NAME_OPEN)\n\n    this._adjustDialog()\n\n    this._backdrop.show(() => this._showElement(relatedTarget))\n  }\n\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = false\n    this._isTransitioning = true\n    this._focustrap.deactivate()\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated())\n  }\n\n  dispose() {\n    EventHandler.off(window, EVENT_KEY)\n    EventHandler.off(this._dialog, EVENT_KEY)\n\n    this._backdrop.dispose()\n    this._focustrap.deactivate()\n\n    super.dispose()\n  }\n\n  handleUpdate() {\n    this._adjustDialog()\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element)\n    }\n\n    this._element.style.display = 'block'\n    this._element.removeAttribute('aria-hidden')\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.scrollTop = 0\n\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n    if (modalBody) {\n      modalBody.scrollTop = 0\n    }\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_SHOW)\n\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate()\n      }\n\n      this._isTransitioning = false\n      EventHandler.trigger(this._element, EVENT_SHOWN, {\n        relatedTarget\n      })\n    }\n\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated())\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return\n      }\n\n      if (this._config.keyboard) {\n        this.hide()\n        return\n      }\n\n      this._triggerBackdropTransition()\n    })\n\n    EventHandler.on(window, EVENT_RESIZE, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog()\n      }\n    })\n\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return\n        }\n\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition()\n          return\n        }\n\n        if (this._config.backdrop) {\n          this.hide()\n        }\n      })\n    })\n  }\n\n  _hideModal() {\n    this._element.style.display = 'none'\n    this._element.setAttribute('aria-hidden', true)\n    this._element.removeAttribute('aria-modal')\n    this._element.removeAttribute('role')\n    this._isTransitioning = false\n\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN)\n      this._resetAdjustments()\n      this._scrollBar.reset()\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    })\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE)\n  }\n\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const initialOverflowY = this._element.style.overflowY\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return\n    }\n\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden'\n    }\n\n    this._element.classList.add(CLASS_NAME_STATIC)\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC)\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY\n      }, this._dialog)\n    }, this._dialog)\n\n    this._element.focus()\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const scrollbarWidth = this._scrollBar.getWidth()\n    const isBodyOverflowing = scrollbarWidth > 0\n\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight'\n      this._element.style[property] = `${scrollbarWidth}px`\n    }\n\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft'\n      this._element.style[property] = `${scrollbarWidth}px`\n    }\n  }\n\n  _resetAdjustments() {\n    this._element.style.paddingLeft = ''\n    this._element.style.paddingRight = ''\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](relatedTarget)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  EventHandler.one(target, EVENT_SHOW, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return\n    }\n\n    EventHandler.one(target, EVENT_HIDDEN, () => {\n      if (isVisible(this)) {\n        this.focus()\n      }\n    })\n  })\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide()\n  }\n\n  const data = Modal.getOrCreateInstance(target)\n\n  data.toggle(this)\n})\n\nenableDismissTrigger(Modal)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport {\n  defineJQueryPlugin,\n  isDisabled,\n  isVisible\n} from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\nconst CLASS_NAME_HIDING = 'hiding'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\nconst Default = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._isShown = false\n    this._backdrop = this._initializeBackDrop()\n    this._focustrap = this._initializeFocusTrap()\n    this._addEventListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._backdrop.show()\n\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide()\n    }\n\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.classList.add(CLASS_NAME_SHOWING)\n\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate()\n      }\n\n      this._element.classList.add(CLASS_NAME_SHOW)\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n    }\n\n    this._queueCallback(completeCallBack, this._element, true)\n  }\n\n  hide() {\n    if (!this._isShown) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._focustrap.deactivate()\n    this._element.blur()\n    this._isShown = false\n    this._element.classList.add(CLASS_NAME_HIDING)\n    this._backdrop.hide()\n\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW, CLASS_NAME_HIDING)\n      this._element.removeAttribute('aria-modal')\n      this._element.removeAttribute('role')\n\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset()\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._queueCallback(completeCallback, this._element, true)\n  }\n\n  dispose() {\n    this._backdrop.dispose()\n    this._focustrap.deactivate()\n    super.dispose()\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n        return\n      }\n\n      this.hide()\n    }\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop)\n\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return\n      }\n\n      if (this._config.keyboard) {\n        this.hide()\n        return\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n    })\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  EventHandler.one(target, EVENT_HIDDEN, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus()\n    }\n  })\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide()\n  }\n\n  const data = Offcanvas.getOrCreateInstance(target)\n  data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show()\n  }\n})\n\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide()\n    }\n  }\n})\n\nenableDismissTrigger(Offcanvas)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\nexport const DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n}\n// js-docs-end allow-list\n\nconst uriAttributes = new Set([\n  'background',\n  'cite',\n  'href',\n  'itemtype',\n  'longdesc',\n  'poster',\n  'src',\n  'xlink:href'\n])\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase()\n\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue))\n    }\n\n    return true\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp)\n    .some(regex => regex.test(attributeName))\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml\n  }\n\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml)\n  }\n\n  const domParser = new window.DOMParser()\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase()\n\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove()\n      continue\n    }\n\n    const attributeList = [].concat(...element.attributes)\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName)\n      }\n    }\n  }\n\n  return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\nimport { DefaultAllowlist, sanitizeHtml } from './sanitizer.js'\nimport { execute, getElement, isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'TemplateFactory'\n\nconst Default = {\n  allowList: DefaultAllowlist,\n  content: {}, // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n}\n\nconst DefaultType = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n}\n\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n}\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content)\n      .map(config => this._resolvePossibleFunction(config))\n      .filter(Boolean)\n  }\n\n  hasContent() {\n    return this.getContent().length > 0\n  }\n\n  changeContent(content) {\n    this._checkContent(content)\n    this._config.content = { ...this._config.content, ...content }\n    return this\n  }\n\n  toHtml() {\n    const templateWrapper = document.createElement('div')\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template)\n\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector)\n    }\n\n    const template = templateWrapper.children[0]\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass)\n\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '))\n    }\n\n    return template\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config)\n    this._checkContent(config.content)\n  }\n\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({ selector, entry: content }, DefaultContentType)\n    }\n  }\n\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template)\n\n    if (!templateElement) {\n      return\n    }\n\n    content = this._resolvePossibleFunction(content)\n\n    if (!content) {\n      templateElement.remove()\n      return\n    }\n\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement)\n      return\n    }\n\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content)\n      return\n    }\n\n    templateElement.textContent = content\n  }\n\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg\n  }\n\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this])\n  }\n\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = ''\n      templateElement.append(element)\n      return\n    }\n\n    templateElement.textContent = element.textContent\n  }\n}\n\nexport default TemplateFactory\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport { defineJQueryPlugin, execute, findShadowRoot, getElement, getUID, isRTL, noop } from './util/index.js'\nimport { DefaultAllowlist } from './util/sanitizer.js'\nimport TemplateFactory from './util/template-factory.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tooltip'\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`\n\nconst EVENT_MODAL_HIDE = 'hide.bs.modal'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\nconst EVENT_HIDE = 'hide'\nconst EVENT_HIDDEN = 'hidden'\nconst EVENT_SHOW = 'show'\nconst EVENT_SHOWN = 'shown'\nconst EVENT_INSERTED = 'inserted'\nconst EVENT_CLICK = 'click'\nconst EVENT_FOCUSIN = 'focusin'\nconst EVENT_FOCUSOUT = 'focusout'\nconst EVENT_MOUSEENTER = 'mouseenter'\nconst EVENT_MOUSELEAVE = 'mouseleave'\n\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' +\n            '<div class=\"tooltip-arrow\"></div>' +\n            '<div class=\"tooltip-inner\"></div>' +\n            '</div>',\n  title: '',\n  trigger: 'hover focus'\n}\n\nconst DefaultType = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n}\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n    }\n\n    super(element, config)\n\n    // Private\n    this._isEnabled = true\n    this._timeout = 0\n    this._isHovered = null\n    this._activeTrigger = {}\n    this._popper = null\n    this._templateFactory = null\n    this._newContent = null\n\n    // Protected\n    this.tip = null\n\n    this._setListeners()\n\n    if (!this._config.selector) {\n      this._fixTitle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true\n  }\n\n  disable() {\n    this._isEnabled = false\n  }\n\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled\n  }\n\n  toggle() {\n    if (!this._isEnabled) {\n      return\n    }\n\n    this._activeTrigger.click = !this._activeTrigger.click\n    if (this._isShown()) {\n      this._leave()\n      return\n    }\n\n    this._enter()\n  }\n\n  dispose() {\n    clearTimeout(this._timeout)\n\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'))\n    }\n\n    this._disposePopper()\n    super.dispose()\n  }\n\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements')\n    }\n\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW))\n    const shadowRoot = findShadowRoot(this._element)\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element)\n\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper()\n\n    const tip = this._getTipElement()\n\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'))\n\n    const { container } = this._config\n\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip)\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED))\n    }\n\n    this._popper = this._createPopper(tip)\n\n    tip.classList.add(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop)\n      }\n    }\n\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN))\n\n      if (this._isHovered === false) {\n        this._leave()\n      }\n\n      this._isHovered = false\n    }\n\n    this._queueCallback(complete, this.tip, this._isAnimated())\n  }\n\n  hide() {\n    if (!this._isShown()) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE))\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const tip = this._getTipElement()\n    tip.classList.remove(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop)\n      }\n    }\n\n    this._activeTrigger[TRIGGER_CLICK] = false\n    this._activeTrigger[TRIGGER_FOCUS] = false\n    this._activeTrigger[TRIGGER_HOVER] = false\n    this._isHovered = null // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return\n      }\n\n      if (!this._isHovered) {\n        this._disposePopper()\n      }\n\n      this._element.removeAttribute('aria-describedby')\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN))\n    }\n\n    this._queueCallback(complete, this.tip, this._isAnimated())\n  }\n\n  update() {\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle())\n  }\n\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate())\n    }\n\n    return this.tip\n  }\n\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml()\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null\n    }\n\n    tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`)\n\n    const tipId = getUID(this.constructor.NAME).toString()\n\n    tip.setAttribute('id', tipId)\n\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE)\n    }\n\n    return tip\n  }\n\n  setContent(content) {\n    this._newContent = content\n    if (this._isShown()) {\n      this._disposePopper()\n      this.show()\n    }\n  }\n\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content)\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      })\n    }\n\n    return this._templateFactory\n  }\n\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    }\n  }\n\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title')\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig())\n  }\n\n  _isAnimated() {\n    return this._config.animation || (this.tip && this.tip.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element])\n    const attachment = AttachmentMap[placement.toUpperCase()]\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element])\n  }\n\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [\n        {\n          name: 'flip',\n          options: {\n            fallbackPlacements: this._config.fallbackPlacements\n          }\n        },\n        {\n          name: 'offset',\n          options: {\n            offset: this._getOffset()\n          }\n        },\n        {\n          name: 'preventOverflow',\n          options: {\n            boundary: this._config.boundary\n          }\n        },\n        {\n          name: 'arrow',\n          options: {\n            element: `.${this.constructor.NAME}-arrow`\n          }\n        },\n        {\n          name: 'preSetPlacement',\n          enabled: true,\n          phase: 'beforeMain',\n          fn: data => {\n            // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n            // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n            this._getTipElement().setAttribute('data-popper-placement', data.state.placement)\n          }\n        }\n      ]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    }\n  }\n\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ')\n\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context.toggle()\n        })\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ?\n          this.constructor.eventName(EVENT_MOUSEENTER) :\n          this.constructor.eventName(EVENT_FOCUSIN)\n        const eventOut = trigger === TRIGGER_HOVER ?\n          this.constructor.eventName(EVENT_MOUSELEAVE) :\n          this.constructor.eventName(EVENT_FOCUSOUT)\n\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true\n          context._enter()\n        })\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] =\n            context._element.contains(event.relatedTarget)\n\n          context._leave()\n        })\n      }\n    }\n\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide()\n      }\n    }\n\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n  }\n\n  _fixTitle() {\n    const title = this._element.getAttribute('title')\n\n    if (!title) {\n      return\n    }\n\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title)\n    }\n\n    this._element.setAttribute('data-bs-original-title', title) // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title')\n  }\n\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true\n      return\n    }\n\n    this._isHovered = true\n\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show()\n      }\n    }, this._config.delay.show)\n  }\n\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return\n    }\n\n    this._isHovered = false\n\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide()\n      }\n    }, this._config.delay.hide)\n  }\n\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout)\n    this._timeout = setTimeout(handler, timeout)\n  }\n\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true)\n  }\n\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute]\n      }\n    }\n\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    }\n    config = this._mergeConfigObj(config)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container)\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      }\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString()\n    }\n\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString()\n    }\n\n    return config\n  }\n\n  _getDelegateConfig() {\n    const config = {}\n\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value\n      }\n    }\n\n    config.selector = false\n    config.trigger = 'manual'\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config\n  }\n\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy()\n      this._popper = null\n    }\n\n    if (this.tip) {\n      this.tip.remove()\n      this.tip = null\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Tooltip from './tooltip.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'popover'\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\nconst Default = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' +\n    '<div class=\"popover-arrow\"></div>' +\n    '<h3 class=\"popover-header\"></h3>' +\n    '<div class=\"popover-body\"></div>' +\n    '</div>',\n  trigger: 'click'\n}\n\nconst DefaultType = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n}\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent()\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    }\n  }\n\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content)\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getElement, isDisabled, isVisible } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_CLICK = `click${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_TARGET_LINKS = '[href]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst Default = {\n  offset: null, // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n}\n\nconst DefaultType = {\n  offset: '(number|null)', // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n}\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map()\n    this._observableSections = new Map()\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element\n    this._activeTarget = null\n    this._observer = null\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    }\n    this.refresh() // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables()\n    this._maybeEnableSmoothScroll()\n\n    if (this._observer) {\n      this._observer.disconnect()\n    } else {\n      this._observer = this._getNewObserver()\n    }\n\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section)\n    }\n  }\n\n  dispose() {\n    this._observer.disconnect()\n    super.dispose()\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin\n\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value))\n    }\n\n    return config\n  }\n\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK)\n\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash)\n      if (observableSection) {\n        event.preventDefault()\n        const root = this._rootElement || window\n        const height = observableSection.offsetTop - this._element.offsetTop\n        if (root.scrollTo) {\n          root.scrollTo({ top: height, behavior: 'smooth' })\n          return\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height\n      }\n    })\n  }\n\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    }\n\n    return new IntersectionObserver(entries => this._observerCallback(entries), options)\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`)\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop\n      this._process(targetElement(entry))\n    }\n\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop\n    this._previousScrollData.parentScrollTop = parentScrollTop\n\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null\n        this._clearActiveClass(targetElement(entry))\n\n        continue\n      }\n\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry)\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return\n        }\n\n        continue\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry)\n      }\n    }\n  }\n\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map()\n    this._observableSections = new Map()\n\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target)\n\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue\n      }\n\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element)\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor)\n        this._observableSections.set(anchor.hash, observableSection)\n      }\n    }\n  }\n\n  _process(target) {\n    if (this._activeTarget === target) {\n      return\n    }\n\n    this._clearActiveClass(this._config.target)\n    this._activeTarget = target\n    target.classList.add(CLASS_NAME_ACTIVE)\n    this._activateParents(target)\n\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, { relatedTarget: target })\n  }\n\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, target.closest(SELECTOR_DROPDOWN))\n        .classList.add(CLASS_NAME_ACTIVE)\n      return\n    }\n\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE)\n      }\n    }\n  }\n\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE)\n\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE}`, parent)\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE)\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy)\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy)\n\nexport default ScrollSpy\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getNextActiveElement, isDisabled } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tab'\nconst DATA_KEY = 'bs.tab'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}`\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst HOME_KEY = 'Home'\nconst END_KEY = 'End'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_DROPDOWN = 'dropdown'\n\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu'\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = ':not(.dropdown-toggle)'\n\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]'\nconst SELECTOR_OUTER = '.nav-item, .list-group-item'\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]' // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`\n\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element)\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL)\n\n    if (!this._parent) {\n      return\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren())\n\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show() { // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element\n    if (this._elemIsActive(innerElem)) {\n      return\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem()\n\n    const hideEvent = active ?\n      EventHandler.trigger(active, EVENT_HIDE, { relatedTarget: innerElem }) :\n      null\n\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW, { relatedTarget: active })\n\n    if (showEvent.defaultPrevented || (hideEvent && hideEvent.defaultPrevented)) {\n      return\n    }\n\n    this._deactivate(active, innerElem)\n    this._activate(innerElem, active)\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return\n    }\n\n    element.classList.add(CLASS_NAME_ACTIVE)\n\n    this._activate(SelectorEngine.getElementFromSelector(element)) // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW)\n        return\n      }\n\n      element.removeAttribute('tabindex')\n      element.setAttribute('aria-selected', true)\n      this._toggleDropDown(element, true)\n      EventHandler.trigger(element, EVENT_SHOWN, {\n        relatedTarget: relatedElem\n      })\n    }\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return\n    }\n\n    element.classList.remove(CLASS_NAME_ACTIVE)\n    element.blur()\n\n    this._deactivate(SelectorEngine.getElementFromSelector(element)) // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW)\n        return\n      }\n\n      element.setAttribute('aria-selected', false)\n      element.setAttribute('tabindex', '-1')\n      this._toggleDropDown(element, false)\n      EventHandler.trigger(element, EVENT_HIDDEN, { relatedTarget: relatedElem })\n    }\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _keydown(event) {\n    if (!([ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key))) {\n      return\n    }\n\n    event.stopPropagation()// stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault()\n\n    const children = this._getChildren().filter(element => !isDisabled(element))\n    let nextActiveElement\n\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1]\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key)\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true)\n    }\n\n    if (nextActiveElement) {\n      nextActiveElement.focus({ preventScroll: true })\n      Tab.getOrCreateInstance(nextActiveElement).show()\n    }\n  }\n\n  _getChildren() { // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent)\n  }\n\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null\n  }\n\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist')\n\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child)\n    }\n  }\n\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child)\n    const isActive = this._elemIsActive(child)\n    const outerElem = this._getOuterElement(child)\n    child.setAttribute('aria-selected', isActive)\n\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation')\n    }\n\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1')\n    }\n\n    this._setAttributeIfNotExists(child, 'role', 'tab')\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child)\n  }\n\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child)\n\n    if (!target) {\n      return\n    }\n\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel')\n\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`)\n    }\n  }\n\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element)\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return\n    }\n\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem)\n      if (element) {\n        element.classList.toggle(className, open)\n      }\n    }\n\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE)\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW)\n    outerElem.setAttribute('aria-expanded', open)\n  }\n\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value)\n    }\n  }\n\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE)\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem)\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  Tab.getOrCreateInstance(this).show()\n})\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element)\n  }\n})\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab)\n\nexport default Tab\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin, reflow } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'toast'\nconst DATA_KEY = 'bs.toast'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_HIDE = 'hide' // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\n\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n}\n\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n}\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._timeout = null\n    this._hasMouseInteraction = false\n    this._hasKeyboardInteraction = false\n    this._setListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._clearTimeout()\n\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE)\n    }\n\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n\n      this._maybeScheduleHide()\n    }\n\n    this._element.classList.remove(CLASS_NAME_HIDE) // @deprecated\n    reflow(this._element)\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING)\n\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  hide() {\n    if (!this.isShown()) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE) // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.classList.add(CLASS_NAME_SHOWING)\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  dispose() {\n    this._clearTimeout()\n\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW)\n    }\n\n    super.dispose()\n  }\n\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return\n    }\n\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return\n    }\n\n    this._timeout = setTimeout(() => {\n      this.hide()\n    }, this._config.delay)\n  }\n\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout': {\n        this._hasMouseInteraction = isInteracting\n        break\n      }\n\n      case 'focusin':\n      case 'focusout': {\n        this._hasKeyboardInteraction = isInteracting\n        break\n      }\n\n      default: {\n        break\n      }\n    }\n\n    if (isInteracting) {\n      this._clearTimeout()\n      return\n    }\n\n    const nextElement = event.relatedTarget\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return\n    }\n\n    this._maybeScheduleHide()\n  }\n\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false))\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false))\n  }\n\n  _clearTimeout() {\n    clearTimeout(this._timeout)\n    this._timeout = null\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config](this)\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast)\n\nexport default Toast\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap index.umd.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Alert from './src/alert.js'\nimport Button from './src/button.js'\nimport Carousel from './src/carousel.js'\nimport Collapse from './src/collapse.js'\nimport Dropdown from './src/dropdown.js'\nimport Modal from './src/modal.js'\nimport Offcanvas from './src/offcanvas.js'\nimport Popover from './src/popover.js'\nimport ScrollSpy from './src/scrollspy.js'\nimport Tab from './src/tab.js'\nimport Toast from './src/toast.js'\nimport Tooltip from 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\ No newline at end of file
diff --git a/deps/bootstrap-5.3.1/bootstrap.min.css b/deps/bootstrap-5.3.1/bootstrap.min.css
new file mode 100644
index 0000000..d944a2a
--- /dev/null
+++ b/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -0,0 +1,5 @@
+:root{--bslib-bootstrap-version: 5;--bslib-preset-name: ;--bslib-preset-type: }/*!
+   * Bootstrap  v5.3.1 (https://getbootstrap.com/)
+   * Copyright 2011-2023 The Bootstrap Authors
+   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+   */:root,[data-bs-theme="light"]{--bs-blue: #0d6efd;--bs-indigo: #6610f2;--bs-purple: #6f42c1;--bs-pink: #d63384;--bs-red: #dc3545;--bs-orange: #fd7e14;--bs-yellow: #ffc107;--bs-green: #198754;--bs-teal: #20c997;--bs-cyan: #0dcaf0;--bs-black: #000;--bs-white: #fff;--bs-gray: #6c757d;--bs-gray-dark: #343a40;--bs-gray-100: #f8f9fa;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #ced4da;--bs-gray-500: #adb5bd;--bs-gray-600: #6c757d;--bs-gray-700: #495057;--bs-gray-800: #343a40;--bs-gray-900: #212529;--bs-default: #dee2e6;--bs-primary: #0d6efd;--bs-secondary: #6c757d;--bs-success: #198754;--bs-info: #0dcaf0;--bs-warning: #ffc107;--bs-danger: #dc3545;--bs-light: #f8f9fa;--bs-dark: #212529;--bs-default-rgb: 222,226,230;--bs-primary-rgb: 13,110,253;--bs-secondary-rgb: 108,117,125;--bs-success-rgb: 25,135,84;--bs-info-rgb: 13,202,240;--bs-warning-rgb: 255,193,7;--bs-danger-rgb: 220,53,69;--bs-light-rgb: 248,249,250;--bs-dark-rgb: 33,37,41;--bs-primary-text-emphasis: 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#198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #198754;--bs-btn-hover-border-color: #198754;--bs-btn-focus-shadow-rgb: 25,135,84;--bs-btn-active-color: #fff;--bs-btn-active-bg: #198754;--bs-btn-active-border-color: #198754;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #198754;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #198754;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #0dcaf0;--bs-btn-hover-border-color: #0dcaf0;--bs-btn-focus-shadow-rgb: 13,202,240;--bs-btn-active-color: #000;--bs-btn-active-bg: #0dcaf0;--bs-btn-active-border-color: #0dcaf0;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0dcaf0;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0dcaf0;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-warning{--bs-btn-color: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffc107;--bs-btn-hover-border-color: #ffc107;--bs-btn-focus-shadow-rgb: 255,193,7;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffc107;--bs-btn-active-border-color: #ffc107;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #ffc107;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #ffc107;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-danger{--bs-btn-color: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #dc3545;--bs-btn-hover-border-color: #dc3545;--bs-btn-focus-shadow-rgb: 220,53,69;--bs-btn-active-color: #fff;--bs-btn-active-bg: #dc3545;--bs-btn-active-border-color: #dc3545;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dc3545;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dc3545;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f9fa;--bs-btn-hover-border-color: #f8f9fa;--bs-btn-focus-shadow-rgb: 248,249,250;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f9fa;--bs-btn-active-border-color: #f8f9fa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f9fa;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f9fa;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #212529;--bs-btn-hover-border-color: #212529;--bs-btn-focus-shadow-rgb: 33,37,41;--bs-btn-active-color: #fff;--bs-btn-active-bg: #212529;--bs-btn-active-border-color: #212529;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #212529;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #212529;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 49,132,253;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: .5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: 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.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) 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var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #0d6efd}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: 0;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833,37,41,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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!important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid 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url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #000;--bs-backdrop-opacity: .5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y) * .5) calc(var(--bs-modal-header-padding-x) * .5);margin:calc(-.5 * var(--bs-modal-header-padding-y)) calc(-.5 * var(--bs-modal-header-padding-x)) calc(-.5 * var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap) * .5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap) * .5)}@media (min-width: 576px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media (min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media (min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media (max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media (max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media (max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media (max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media (max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: .5rem;--bs-tooltip-padding-y: .25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:.875rem;--bs-tooltip-color: var(--bs-body-bg);--bs-tooltip-bg: var(--bs-emphasis-color);--bs-tooltip-border-radius: var(--bs-border-radius);--bs-tooltip-opacity: .9;--bs-tooltip-arrow-width: .8rem;--bs-tooltip-arrow-height: .4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:var(--bs-font-sans-serif);font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:transparent;border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow{bottom:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-top-color:var(--bs-tooltip-bg)}.bs-tooltip-end .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow{left:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-end .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow::before{right:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-right-color:var(--bs-tooltip-bg)}.bs-tooltip-bottom .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow{top:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-bottom .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow::before{bottom:-1px;border-width:0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-bottom-color:var(--bs-tooltip-bg)}.bs-tooltip-start .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow{right:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-start .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow::before{left:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) 0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-left-color:var(--bs-tooltip-bg)}.tooltip-inner{max-width:var(--bs-tooltip-max-width);padding:var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);color:var(--bs-tooltip-color);text-align:center;background-color:var(--bs-tooltip-bg);border-radius:var(--bs-tooltip-border-radius)}.popover{--bs-popover-zindex: 1070;--bs-popover-max-width: 276px;--bs-popover-font-size:.875rem;--bs-popover-bg: var(--bs-body-bg);--bs-popover-border-width: var(--bs-border-width);--bs-popover-border-color: var(--bs-border-color-translucent);--bs-popover-border-radius: var(--bs-border-radius-lg);--bs-popover-inner-border-radius: calc(var(--bs-border-radius-lg) - var(--bs-border-width));--bs-popover-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-popover-header-padding-x: 1rem;--bs-popover-header-padding-y: .5rem;--bs-popover-header-font-size:1rem;--bs-popover-header-color: inherit;--bs-popover-header-bg: var(--bs-secondary-bg);--bs-popover-body-padding-x: 1rem;--bs-popover-body-padding-y: 1rem;--bs-popover-body-color: var(--bs-body-color);--bs-popover-arrow-width: 1rem;--bs-popover-arrow-height: .5rem;--bs-popover-arrow-border: 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diff --git a/deps/data-deps.txt b/deps/data-deps.txt
index 21592b5..693b82d 100644
--- a/deps/data-deps.txt
+++ b/deps/data-deps.txt
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-<link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet" />
-<script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script>
+<link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet" />
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script>
diff --git a/favicon-16x16.png b/favicon-16x16.png
index 8d8d804..fa6ab38 100644
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diff --git a/favicon-32x32.png b/favicon-32x32.png
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diff --git a/index.html b/index.html
index 0acd93b..f01e43d 100644
--- a/index.html
+++ b/index.html
@@ -5,10 +5,7 @@
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 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="The ManyEcoEvo package provides a set of functions for
-    aiding data cleaning, preparation and conducting analysis for
-    multi-analyst style studies. It also contains datasets from the
-    ManyEcoEvo project for reproducing the ManyEcoEvo analysis.">
+<meta name="description" content="The ManyEcoEvo package provides a set of functions for aiding data cleaning, preparation and conducting analysis for multi-analyst style studies. It also contains datasets from the ManyEcoEvo project for reproducing the ManyEcoEvo analysis.">
 <title>Meta-analyse data from Many-Analysts style studies • ManyEcoEvo</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png">
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+<link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
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-<meta property="og:description" content="The ManyEcoEvo package provides a set of functions for
-    aiding data cleaning, preparation and conducting analysis for
-    multi-analyst style studies. It also contains datasets from the
-    ManyEcoEvo project for reproducing the ManyEcoEvo analysis.">
+<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Meta-analyse data from Many-Analysts style studies">
+<meta property="og:description" content="The ManyEcoEvo package provides a set of functions for aiding data cleaning, preparation and conducting analysis for multi-analyst style studies. It also contains datasets from the ManyEcoEvo project for reproducing the ManyEcoEvo analysis.">
 <meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
@@ -35,7 +29,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="index.html">ManyEcoEvo</a>
 
@@ -81,7 +75,7 @@
   <main id="main" class="col-md-9">
 <div class="section level1">
 <div class="page-header">
-<img src="logo.png" class="logo" alt=""><h1 id="manyecoevo-">ManyEcoEvo <img src="reference/figures/ManyEcoEvoHex.jpg" align="right" width="120"><a class="anchor" aria-label="anchor" href="#manyecoevo-"></a>
+<img src="logo.png" class="logo" alt=""><h1 id="manyecoevo-">ManyEcoEvo <a class="anchor" aria-label="anchor" href="#manyecoevo-"></a>
 </h1>
 </div>
 <p>The <code>ManyEcoEvo</code> package provides a suite of functions for:</p>
@@ -99,7 +93,7 @@ <h2 id="installation">Installation<a class="anchor" aria-label="anchor" href="#i
 </h2>
 <p><code>ManyEcoEvo::</code> can be installed using <a href="https://devtools.r-lib.org" class="external-link"><code>devtools::</code></a> from GitHub with:</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu">install_github</span><span class="op">(</span><span class="st">"egouldo/ManyEcoEvo"</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"egouldo/ManyEcoEvo"</span><span class="op">)</span></span></code></pre></div>
 </div>
 </div>
 <div class="section level1">
@@ -110,7 +104,7 @@ <h1 id="regenerating-the-manyecoevo-dataset">Regenerating the ManyEcoEvo dataset
 <ol style="list-style-type: decimal">
 <li>Clone or download <a href="https://github.com/egouldo/ManyEcoEvo" class="external-link">https://github.com/egouldo/this repository</a>
 </li>
-<li>Run <code><a href="https://rstudio.github.io/renv/reference/restore.html" class="external-link">renv::restore()</a></code> to load the packages used in the analysis pipeline locally on your machine (see [<code>renv::</code>]<a href="https://rstudio.github.io/renv/index.html" class="external-link uri">https://rstudio.github.io/renv/index.html</a>) for details)</li>
+<li>Run <code><a href="https://rstudio.github.io/renv/reference/restore.html" class="external-link">renv::restore()</a></code> to load the packages used in the analysis pipeline locally on your machine (see <a href="https://rstudio.github.io/renv/index.html" class="external-link"><code>renv::</code></a> for details)</li>
 <li>Run <code>tar_destroy()</code> to remove any record and caches of existing targets</li>
 <li>Run <code><a href="https://docs.ropensci.org/targets/reference/tar_make.html" class="external-link">targets::tar_make()</a></code> in your console, depending on the power of your machine, the analysis pipeline will take between 2 and 7 minutes to execute (plus or minus some!)</li>
 <li>You can view a table of all targets in the pipeline by running <code><a href="https://docs.ropensci.org/targets/reference/tar_meta.html" class="external-link">targets::tar_meta()</a></code>
@@ -119,11 +113,11 @@ <h1 id="regenerating-the-manyecoevo-dataset">Regenerating the ManyEcoEvo dataset
 </ol>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu">targets</span><span class="fu">::</span><span class="fu"><a href="https://docs.ropensci.org/targets/reference/tar_read.html" class="external-link">tar_read</a></span><span class="op">(</span><span class="st">"ManyEcoEvo"</span><span class="op">)</span></span></code></pre></div>
-<div class="sourceCode" id="cb3"><pre class="sourceCode R"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="co"># A tibble: 2 × 4</span></span>
-<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a>  dataset    data                diversity_data      estimate_type</span>
-<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>  <span class="sc">&lt;</span>chr<span class="sc">&gt;</span>      <span class="er">&lt;</span>list<span class="sc">&gt;</span>              <span class="er">&lt;</span>named list<span class="sc">&gt;</span>        <span class="er">&lt;</span>chr<span class="sc">&gt;</span>        </span>
-<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a><span class="dv">1</span> blue tit   <span class="sc">&lt;</span>tibble [<span class="dv">174</span> × <span class="dv">38</span>]<span class="sc">&gt;</span> <span class="er">&lt;</span>tibble [<span class="dv">174</span> × <span class="dv">54</span>]<span class="sc">&gt;</span> Zr           </span>
-<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a><span class="dv">2</span> eucalyptus <span class="sc">&lt;</span>tibble [<span class="dv">128</span> × <span class="dv">38</span>]<span class="sc">&gt;</span> <span class="er">&lt;</span>tibble [<span class="dv">128</span> × <span class="dv">61</span>]<span class="sc">&gt;</span> Zr           </span></code></pre></div>
+<div class="sourceCode" id="cb3"><pre class="sourceCode R"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" tabindex="-1"></a><span class="co"># A tibble: 2 × 4</span></span>
+<span id="cb3-2"><a href="#cb3-2" tabindex="-1"></a>  dataset    data                diversity_data      estimate_type</span>
+<span id="cb3-3"><a href="#cb3-3" tabindex="-1"></a>  <span class="sc">&lt;</span>chr<span class="sc">&gt;</span>      <span class="er">&lt;</span>list<span class="sc">&gt;</span>              <span class="er">&lt;</span>named list<span class="sc">&gt;</span>        <span class="er">&lt;</span>chr<span class="sc">&gt;</span>        </span>
+<span id="cb3-4"><a href="#cb3-4" tabindex="-1"></a><span class="dv">1</span> blue tit   <span class="sc">&lt;</span>tibble [<span class="dv">174</span> × <span class="dv">38</span>]<span class="sc">&gt;</span> <span class="er">&lt;</span>tibble [<span class="dv">174</span> × <span class="dv">54</span>]<span class="sc">&gt;</span> Zr           </span>
+<span id="cb3-5"><a href="#cb3-5" tabindex="-1"></a><span class="dv">2</span> eucalyptus <span class="sc">&lt;</span>tibble [<span class="dv">128</span> × <span class="dv">38</span>]<span class="sc">&gt;</span> <span class="er">&lt;</span>tibble [<span class="dv">128</span> × <span class="dv">61</span>]<span class="sc">&gt;</span> Zr           </span></code></pre></div>
 <div class="section level2">
 <h2 id="license">License<a class="anchor" aria-label="anchor" href="#license"></a>
 </h2>
@@ -137,21 +131,21 @@ <h2 id="contributing">Contributing<a class="anchor" aria-label="anchor" href="#c
 <div class="section level2">
 <h2 id="citation">Citation<a class="anchor" aria-label="anchor" href="#citation"></a>
 </h2>
-<div class="sourceCode" id="cb4"><pre class="sourceCode R"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>To cite package ‘ManyEcoEvo’ <span class="cf">in</span> publications use<span class="sc">:</span></span>
-<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>  Gould E, Fraser H, Nakagawa S, Parker <span class="fu">T</span> (<span class="dv">2023</span>). _ManyEcoEvo<span class="sc">:</span> Meta<span class="sc">-</span>analyse</span>
-<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a>  data from <span class="st">'Many-Analysts'</span> style studies_. R package version <span class="dv">1</span>.<span class="fl">0.0</span>,</span>
-<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a>  <span class="sc">&lt;</span>https<span class="sc">:</span><span class="er">//</span>github.com<span class="sc">/</span>egouldo<span class="sc">/</span>ManyEcoEvo<span class="sc">&gt;</span>.</span>
-<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a>A BibTeX entry <span class="cf">for</span> LaTeX users is</span>
-<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a>  <span class="sc">@</span>Manual{,</span>
-<span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a>    title <span class="ot">=</span> {ManyEcoEvo<span class="sc">:</span> Meta<span class="sc">-</span>analyse data from <span class="st">'Many-Analysts'</span> style studies},</span>
-<span id="cb4-11"><a href="#cb4-11" aria-hidden="true" tabindex="-1"></a>    author <span class="ot">=</span> {Elliot Gould and Hannah S. Fraser and Shinichi Nakagawa and Timothy H. Parker},</span>
-<span id="cb4-12"><a href="#cb4-12" aria-hidden="true" tabindex="-1"></a>    year <span class="ot">=</span> {<span class="dv">2023</span>},</span>
-<span id="cb4-13"><a href="#cb4-13" aria-hidden="true" tabindex="-1"></a>    note <span class="ot">=</span> {R package version <span class="dv">1</span>.<span class="fl">0.0</span>},</span>
-<span id="cb4-14"><a href="#cb4-14" aria-hidden="true" tabindex="-1"></a>    url <span class="ot">=</span> {https<span class="sc">:</span><span class="er">//</span>github.com<span class="sc">/</span>egouldo<span class="sc">/</span>ManyEcoEvo},</span>
-<span id="cb4-15"><a href="#cb4-15" aria-hidden="true" tabindex="-1"></a>  }</span></code></pre></div>
+<div class="sourceCode" id="cb4"><pre class="sourceCode R"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" tabindex="-1"></a>To cite package ‘ManyEcoEvo’ <span class="cf">in</span> publications use<span class="sc">:</span></span>
+<span id="cb4-2"><a href="#cb4-2" tabindex="-1"></a></span>
+<span id="cb4-3"><a href="#cb4-3" tabindex="-1"></a>  Gould E, Fraser H, Nakagawa S, Parker <span class="fu">T</span> (<span class="dv">2023</span>). _ManyEcoEvo<span class="sc">:</span> Meta<span class="sc">-</span>analyse</span>
+<span id="cb4-4"><a href="#cb4-4" tabindex="-1"></a>  data from <span class="st">'Many-Analysts'</span> style studies_. R package version <span class="dv">1</span>.<span class="fl">0.0</span>,</span>
+<span id="cb4-5"><a href="#cb4-5" tabindex="-1"></a>  <span class="sc">&lt;</span>https<span class="sc">:</span><span class="er">//</span>github.com<span class="sc">/</span>egouldo<span class="sc">/</span>ManyEcoEvo<span class="sc">&gt;</span>.</span>
+<span id="cb4-6"><a href="#cb4-6" tabindex="-1"></a></span>
+<span id="cb4-7"><a href="#cb4-7" tabindex="-1"></a>A BibTeX entry <span class="cf">for</span> LaTeX users is</span>
+<span id="cb4-8"><a href="#cb4-8" tabindex="-1"></a></span>
+<span id="cb4-9"><a href="#cb4-9" tabindex="-1"></a>  <span class="sc">@</span>Manual{,</span>
+<span id="cb4-10"><a href="#cb4-10" tabindex="-1"></a>    title <span class="ot">=</span> {ManyEcoEvo<span class="sc">:</span> Meta<span class="sc">-</span>analyse data from <span class="st">'Many-Analysts'</span> style studies},</span>
+<span id="cb4-11"><a href="#cb4-11" tabindex="-1"></a>    author <span class="ot">=</span> {Elliot Gould and Hannah S. Fraser and Shinichi Nakagawa and Timothy H. Parker},</span>
+<span id="cb4-12"><a href="#cb4-12" tabindex="-1"></a>    year <span class="ot">=</span> {<span class="dv">2023</span>},</span>
+<span id="cb4-13"><a href="#cb4-13" tabindex="-1"></a>    note <span class="ot">=</span> {R package version <span class="dv">1</span>.<span class="fl">0.0</span>},</span>
+<span id="cb4-14"><a href="#cb4-14" tabindex="-1"></a>    url <span class="ot">=</span> {https<span class="sc">:</span><span class="er">//</span>github.com<span class="sc">/</span>egouldo<span class="sc">/</span>ManyEcoEvo},</span>
+<span id="cb4-15"><a href="#cb4-15" tabindex="-1"></a>  }</span></code></pre></div>
 </div>
 </div>
 
@@ -203,13 +197,11 @@ <h2 data-toc-skip>Developers</h2>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer>
diff --git a/pkgdown.js b/pkgdown.js
index 5fccd9c..9bd6621 100644
--- a/pkgdown.js
+++ b/pkgdown.js
@@ -30,10 +30,10 @@
   /* Clipboard --------------------------*/
 
   function changeTooltipMessage(element, msg) {
-    var tooltipOriginalTitle=element.getAttribute('data-original-title');
-    element.setAttribute('data-original-title', msg);
+    var tooltipOriginalTitle=element.getAttribute('data-bs-original-title');
+    element.setAttribute('data-bs-original-title', msg);
     $(element).tooltip('show');
-    element.setAttribute('data-original-title', tooltipOriginalTitle);
+    element.setAttribute('data-bs-original-title', tooltipOriginalTitle);
   }
 
   if(ClipboardJS.isSupported()) {
@@ -60,7 +60,7 @@
         e.clearSelection();
       });
 
-      clipboard.on('error', function() {
+      clipboard.on('error', function(e) {
         changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy');
       });
 
diff --git a/pkgdown.yml b/pkgdown.yml
index 935dc26..87c130e 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -1,11 +1,11 @@
-pandoc: 2.19.2
-pkgdown: 2.0.7
+pandoc: 3.1.11
+pkgdown: 2.0.9
 pkgdown_sha: ~
 articles:
   analysis: analysis.html
   data_cleaning_preparation: data_cleaning_preparation.html
   multiple_datasets: multiple_datasets.html
-last_built: 2023-11-15T05:00Z
+last_built: 2024-06-06T14:35Z
 urls:
   reference: https://egouldo.github.io/ManyEcoEvo/reference
   article: https://egouldo.github.io/ManyEcoEvo/articles
diff --git a/reference/NotIn.html b/reference/NotIn.html
index f18b2eb..c8de1c9 100644
--- a/reference/NotIn.html
+++ b/reference/NotIn.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="See base:: for details. %nin% is a binary operator, returning a logical vector indicating if there is a negative match or not."><title>Negative Value Matching — %in% • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Negative Value Matching — %in%"><meta property="og:description" content="See base:: for details. %nin% is a binary operator, returning a logical vector indicating if there is a negative match or not."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
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     <footer><div class="pkgdown-footer-left">
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diff --git a/reference/Z_VZ_preds.html b/reference/Z_VZ_preds.html
index 1e3e9b3..83e6738 100644
--- a/reference/Z_VZ_preds.html
+++ b/reference/Z_VZ_preds.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculate Z and VZ of out-of-sample predictions"><title>Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds"><meta property="og:description" content="Calculate Z and VZ of out-of-sample predictions"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -91,11 +91,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/anonymise_teams.html b/reference/anonymise_teams.html
index 3774580..659578b 100644
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+++ b/reference/anonymise_teams.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
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     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/apply_VZ_exclusions.html b/reference/apply_VZ_exclusions.html
index 32ceb64..fae9cec 100644
--- a/reference/apply_VZ_exclusions.html
+++ b/reference/apply_VZ_exclusions.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Apply VZ exclusion to a data-frame containing list-columns of yi subsets"><title>Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions"><meta property="og:description" content="Apply VZ exclusion to a data-frame containing list-columns of yi subsets"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Apply VZ exclusion to a data-frame containing list-columns of yi subsets"><title>Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions"><meta property="og:description" content="Apply VZ exclusion to a data-frame containing list-columns of yi subsets"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -102,11 +102,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/apply_sorensen_calc.html b/reference/apply_sorensen_calc.html
index 4ba6ea8..cb5ac86 100644
--- a/reference/apply_sorensen_calc.html
+++ b/reference/apply_sorensen_calc.html
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diff --git a/reference/apportion_heterogeneity_ml.html b/reference/apportion_heterogeneity_ml.html
index bacea35..4855483 100644
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@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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@@ -87,11 +87,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
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 </div>
 
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diff --git a/reference/assign_transformation_type.html b/reference/assign_transformation_type.html
index 588d6b0..0ab2d8b 100644
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+++ b/reference/assign_transformation_type.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Assign back-transformation type to be applied to analysis point-estimates"><title>Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type"><meta property="og:description" content="Assign back-transformation type to be applied to analysis point-estimates"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Assign back-transformation type to be applied to analysis point-estimates"><title>Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type"><meta property="og:description" content="Assign back-transformation type to be applied to analysis point-estimates"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -84,11 +84,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/augment_prediction_data.html b/reference/augment_prediction_data.html
index 90e9775..43a42c4 100644
--- a/reference/augment_prediction_data.html
+++ b/reference/augment_prediction_data.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="augment_prediction_data() will relabel and remove extraneous columns from out-of-sample prediction data."><title>Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data"><meta property="og:description" content="augment_prediction_data() will relabel and remove extraneous columns from out-of-sample prediction data."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="augment_prediction_data() will relabel and remove extraneous columns from out-of-sample prediction data."><title>Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data"><meta property="og:description" content="augment_prediction_data() will relabel and remove extraneous columns from out-of-sample prediction data."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -96,11 +96,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/back_transform_response_vars_yi.html b/reference/back_transform_response_vars_yi.html
index b8aefd9..f6ae980 100644
--- a/reference/back_transform_response_vars_yi.html
+++ b/reference/back_transform_response_vars_yi.html
@@ -1,12 +1,12 @@
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diff --git a/reference/box_cox_transform.html b/reference/box_cox_transform.html
index ef6a322..bc0fee9 100644
--- a/reference/box_cox_transform.html
+++ b/reference/box_cox_transform.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
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 </div>
 
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diff --git a/reference/calc_I2_ml.html b/reference/calc_I2_ml.html
index 1885518..5afcea6 100644
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@@ -1,12 +1,12 @@
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculate I2 for a multilevel meta-analytic model"><title>Calculate I2 for a multilevel meta-analytic model — calc_I2_ml • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate I2 for a multilevel meta-analytic model — calc_I2_ml"><meta property="og:description" content="Calculate I2 for a multilevel meta-analytic model"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -87,11 +87,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/calculate_deviation_score.html b/reference/calculate_deviation_score.html
index 91eec86..d430007 100644
--- a/reference/calculate_deviation_score.html
+++ b/reference/calculate_deviation_score.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculate the absolute deviation of the standardised effect size from the meta-analytic mean"><title>Calculate deviation from meta-analytic mean — calculate_deviation_score • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate deviation from meta-analytic mean — calculate_deviation_score"><meta property="og:description" content="Calculate the absolute deviation of the standardised effect size from the meta-analytic mean"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculate the absolute deviation of the standardised effect size from the meta-analytic mean"><title>Calculate deviation from meta-analytic mean — calculate_deviation_score • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate deviation from meta-analytic mean — calculate_deviation_score"><meta property="og:description" content="Calculate the absolute deviation of the standardised effect size from the meta-analytic mean"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -93,11 +93,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/calculate_sorensen_diversity_index.html b/reference/calculate_sorensen_diversity_index.html
index ca82e64..be97fae 100644
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+++ b/reference/calculate_sorensen_diversity_index.html
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
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diff --git a/reference/capwords.html b/reference/capwords.html
index dc8a770..db20fd4 100644
--- a/reference/capwords.html
+++ b/reference/capwords.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Capitalise Words"><title>Capitalise Words — capwords • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Capitalise Words — capwords"><meta property="og:description" content="Capitalise Words"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -87,11 +87,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
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+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/clean_response_transformation.html b/reference/clean_response_transformation.html
index c8b60b3..88c493a 100644
--- a/reference/clean_response_transformation.html
+++ b/reference/clean_response_transformation.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cleans the response transformation variable to the names of the back-transformation functions"><title>Clean response transformation variable — clean_response_transformation • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Clean response transformation variable — clean_response_transformation"><meta property="og:description" content="Cleans the response transformation variable to the names of the back-transformation functions"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -79,11 +79,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/compare_ml_MA.html b/reference/compare_ml_MA.html
index 8e535af..f18cdc5 100644
--- a/reference/compare_ml_MA.html
+++ b/reference/compare_ml_MA.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Compares two fitted multi-level models and tidies the results"><title>Compare two fitted multi-level models — compare_ml_MA • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Compare two fitted multi-level models — compare_ml_MA"><meta property="og:description" content="Compares two fitted multi-level models and tidies the results"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Compares two fitted multi-level models and tidies the results"><title>Compare two fitted multi-level models — compare_ml_MA • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Compare two fitted multi-level models — compare_ml_MA"><meta property="og:description" content="Compares two fitted multi-level models and tidies the results"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -87,11 +87,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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     </footer></div>
diff --git a/reference/compute_MA_inputs.html b/reference/compute_MA_inputs.html
index 814c968..d5c51a1 100644
--- a/reference/compute_MA_inputs.html
+++ b/reference/compute_MA_inputs.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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     <footer><div class="pkgdown-footer-left">
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diff --git a/reference/compute_metaanalysis_inputs.html b/reference/compute_metaanalysis_inputs.html
index b6cab62..fe5f1e7 100644
--- a/reference/compute_metaanalysis_inputs.html
+++ b/reference/compute_metaanalysis_inputs.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -81,11 +81,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/conversion.html b/reference/conversion.html
index 4ad1db5..1f178d1 100644
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 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Conditionally apply back-transformation functions depending on the value of transformation"><title>Conditionally apply back-transformation — conversion • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Conditionally apply back-transformation — conversion"><meta property="og:description" content="Conditionally apply back-transformation functions depending on the value of transformation"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -118,11 +118,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/conversion_2.html b/reference/conversion_2.html
index a69837b..764d888 100644
--- a/reference/conversion_2.html
+++ b/reference/conversion_2.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Conditionally apply back-transformation functions depending on the value of transformation"><title>Conditionally apply back-transformation — conversion_2 • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Conditionally apply back-transformation — conversion_2"><meta property="og:description" content="Conditionally apply back-transformation functions depending on the value of transformation"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Conditionally apply back-transformation functions depending on the value of transformation"><title>Conditionally apply back-transformation — conversion_2 • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Conditionally apply back-transformation — conversion_2"><meta property="og:description" content="Conditionally apply back-transformation functions depending on the value of transformation"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -108,11 +108,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/convert_predictions.html b/reference/convert_predictions.html
index 8dfe9ea..d141f91 100644
--- a/reference/convert_predictions.html
+++ b/reference/convert_predictions.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -87,11 +87,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
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 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/count_analyses_variables_used.html b/reference/count_analyses_variables_used.html
index 5d4e8c2..176d7b7 100644
--- a/reference/count_analyses_variables_used.html
+++ b/reference/count_analyses_variables_used.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Count number of analyses each variable is used"><title>Count number of analyses each variable is used — count_analyses_variables_used • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Count number of analyses each variable is used — count_analyses_variables_used"><meta property="og:description" content="Count number of analyses each variable is used"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -99,11 +99,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/count_binary_coded_features.html b/reference/count_binary_coded_features.html
index d719ada..4ab8d55 100644
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+++ b/reference/count_binary_coded_features.html
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diff --git a/reference/count_teams_analyses.html b/reference/count_teams_analyses.html
index ef07765..13e010c 100644
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@@ -1,12 +1,12 @@
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
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     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/divide_back.html b/reference/divide_back.html
index f646a18..f233780 100644
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+++ b/reference/divide_back.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -104,11 +104,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/est_to_zr.html b/reference/est_to_zr.html
index dddde6d..3cb9509 100644
--- a/reference/est_to_zr.html
+++ b/reference/est_to_zr.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Convert estimate to Zr"><title>Convert estimate to Zr — est_to_zr • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Convert estimate to Zr — est_to_zr"><meta property="og:description" content="Convert estimate to Zr"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -94,11 +94,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/exclude_extreme_VZ.html b/reference/exclude_extreme_VZ.html
index fbeb949..79fb0a9 100644
--- a/reference/exclude_extreme_VZ.html
+++ b/reference/exclude_extreme_VZ.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Exclude extreme values of VZ from a dataframe of standardised predictions"><title>Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ"><meta property="og:description" content="Exclude extreme values of VZ from a dataframe of standardised predictions"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -81,11 +81,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/fit_boxcox_ratings_cat.html b/reference/fit_boxcox_ratings_cat.html
index da0ee6b..5ea39a5 100644
--- a/reference/fit_boxcox_ratings_cat.html
+++ b/reference/fit_boxcox_ratings_cat.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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diff --git a/reference/fit_boxcox_ratings_cont.html b/reference/fit_boxcox_ratings_cont.html
index f7b3826..eb27124 100644
--- a/reference/fit_boxcox_ratings_cont.html
+++ b/reference/fit_boxcox_ratings_cont.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fit an lmer model of the box-cox transformed deviation from the meta-analytic mean scores as a function of continuous peer-review ratings"><title>Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont"><meta property="og:description" content="Fit an lmer model of the box-cox transformed deviation from the meta-analytic mean scores as a function of continuous peer-review ratings"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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@@ -99,11 +99,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
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 </div>
 
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/fit_boxcox_ratings_ord.html b/reference/fit_boxcox_ratings_ord.html
index 5839d39..1b84994 100644
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+++ b/reference/fit_boxcox_ratings_ord.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fit an lmer model of the box-cox transformed deviation from the meta-analytic mean scores as a function of continuous peer-review ratings"><title>Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord"><meta property="og:description" content="Fit an lmer model of the box-cox transformed deviation from the meta-analytic mean scores as a function of continuous peer-review ratings"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -89,11 +89,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/fit_metafor_mv.html b/reference/fit_metafor_mv.html
index 90ff25a..fa2982a 100644
--- a/reference/fit_metafor_mv.html
+++ b/reference/fit_metafor_mv.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fit Multivariate Metaregression using metafoR"><title>Fit Multivariate Metaregression using metafoR — fit_metafor_mv • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit Multivariate Metaregression using metafoR — fit_metafor_mv"><meta property="og:description" content="Fit Multivariate Metaregression using metafoR"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fit Multivariate Metaregression using metafoR"><title>Fit Multivariate Metaregression using metafoR — fit_metafor_mv • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit Multivariate Metaregression using metafoR — fit_metafor_mv"><meta property="og:description" content="Fit Multivariate Metaregression using metafoR"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -110,11 +110,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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     </footer></div>
diff --git a/reference/fit_metafor_mv_reduced.html b/reference/fit_metafor_mv_reduced.html
index 0894aba..e5caf57 100644
--- a/reference/fit_metafor_mv_reduced.html
+++ b/reference/fit_metafor_mv_reduced.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fit reduced multivariate metaregression model"><title>Fit reduced multivariate metaregression model — fit_metafor_mv_reduced • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit reduced multivariate metaregression model — fit_metafor_mv_reduced"><meta property="og:description" content="Fit reduced multivariate metaregression model"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fit reduced multivariate metaregression model"><title>Fit reduced multivariate metaregression model — fit_metafor_mv_reduced • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit reduced multivariate metaregression model — fit_metafor_mv_reduced"><meta property="og:description" content="Fit reduced multivariate metaregression model"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -99,6 +99,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span>         <span class="op">!</span><span class="fu"><a href="https://rdrr.io/r/base/is.finite.html" class="external-link">is.infinite</a></span><span class="op">(</span><span class="va">Zr</span><span class="op">)</span>,</span></span>
 <span class="r-in"><span>         <span class="op">!</span><span class="fu"><a href="https://rdrr.io/r/base/is.finite.html" class="external-link">is.infinite</a></span><span class="op">(</span><span class="va">VZr</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="pipe.html">%&gt;%</a></span></span></span>
 <span class="r-in"><span><span class="fu"><a href="fit_metafor_mv.html">fit_metafor_mv</a></span><span class="op">(</span>estimate <span class="op">=</span> <span class="va">.</span><span class="op">$</span><span class="va">Zr</span>, variance <span class="op">=</span> <span class="va">.</span><span class="op">$</span><span class="va">VZr</span>, estimate_type <span class="op">=</span> <span class="st">"Zr"</span>, data <span class="op">=</span> <span class="va">.</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> ── <span style="font-weight: bold;">Fitting multivariate metaregression</span> ──</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error:</span> object 'VZr' not found</span>
@@ -109,11 +110,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/fit_metafor_uni.html b/reference/fit_metafor_uni.html
index 4731101..96c85b8 100644
--- a/reference/fit_metafor_uni.html
+++ b/reference/fit_metafor_uni.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fit univariate meta-analysis with metafor"><title>Fit univariate meta-analysis with metafor — fit_metafor_uni • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit univariate meta-analysis with metafor — fit_metafor_uni"><meta property="og:description" content="Fit univariate meta-analysis with metafor"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fit univariate meta-analysis with metafor"><title>Fit univariate meta-analysis with metafor — fit_metafor_uni • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit univariate meta-analysis with metafor — fit_metafor_uni"><meta property="og:description" content="Fit univariate meta-analysis with metafor"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -106,11 +106,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/fit_sorensen_glm.html b/reference/fit_sorensen_glm.html
index b00acec..7e0153f 100644
--- a/reference/fit_sorensen_glm.html
+++ b/reference/fit_sorensen_glm.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fit univariate glm of deviation scores on sorensen diversity index"><title>Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm"><meta property="og:description" content="Fit univariate glm of deviation scores on sorensen diversity index"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -87,11 +87,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
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 </div>
 
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/fit_uni_mixed_effects.html b/reference/fit_uni_mixed_effects.html
index fa5b92e..c07a91f 100644
--- a/reference/fit_uni_mixed_effects.html
+++ b/reference/fit_uni_mixed_effects.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fits a univariate glm of box-cox transformed absolute deviation from the meta-analytic mean scores as a function of whether the analysis was a mixed effects model \(i.e. included random effects\) or not."><title>Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects"><meta property="og:description" content="Fits a univariate glm of box-cox transformed absolute deviation from the meta-analytic mean scores as a function of whether the analysis was a mixed effects model \(i.e. included random effects\) or not."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fits a univariate glm of box-cox transformed absolute deviation from the meta-analytic mean scores as a function of whether the analysis was a mixed effects model \(i.e. included random effects\) or not."><title>Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects"><meta property="og:description" content="Fits a univariate glm of box-cox transformed absolute deviation from the meta-analytic mean scores as a function of whether the analysis was a mixed effects model \(i.e. included random effects\) or not."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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@@ -89,11 +89,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
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+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/generate_exclusion_subsets.html b/reference/generate_exclusion_subsets.html
index 7de0956..72a5f66 100644
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+++ b/reference/generate_exclusion_subsets.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generate subsets of analyst data based on different exclusion criteria"><title>Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets"><meta property="og:description" content="Generate subsets of analyst data based on different exclusion criteria"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -111,11 +111,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/generate_expertise_subsets.html b/reference/generate_expertise_subsets.html
index 7656bd1..618a9d8 100644
--- a/reference/generate_expertise_subsets.html
+++ b/reference/generate_expertise_subsets.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generate Expertise Data Subsets"><title>Generate Expertise Data Subsets — generate_expertise_subsets • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate Expertise Data Subsets — generate_expertise_subsets"><meta property="og:description" content="Generate Expertise Data Subsets"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generate Expertise Data Subsets"><title>Generate Expertise Data Subsets — generate_expertise_subsets • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate Expertise Data Subsets — generate_expertise_subsets"><meta property="og:description" content="Generate Expertise Data Subsets"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -90,10 +90,10 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/egouldo/ManyEcoEvo" class="external-link">ManyEcoEvo</a></span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://tidyverse.tidyverse.org" class="external-link">tidyverse</a></span><span class="op">)</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> ── <span style="font-weight: bold;">Attaching core tidyverse packages</span> ──────────────────────── tidyverse 2.0.0 ──</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">dplyr    </span> 1.1.3     <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">readr    </span> 2.1.4</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">forcats  </span> 1.0.0     <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">stringr  </span> 1.5.0</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">ggplot2  </span> 3.4.4     <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">tibble   </span> 3.2.1</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">lubridate</span> 1.9.2     <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">tidyr    </span> 1.3.0</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">dplyr    </span> 1.1.4     <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">readr    </span> 2.1.5</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">forcats  </span> 1.0.0     <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">stringr  </span> 1.5.1</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">ggplot2  </span> 3.5.1     <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">tibble   </span> 3.2.1</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">lubridate</span> 1.9.3     <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">tidyr    </span> 1.3.1</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> <span style="color: #0000BB;">purrr    </span> 1.0.2     </span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> ── <span style="font-weight: bold;">Conflicts</span> ────────────────────────────────────────── tidyverse_conflicts() ──</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #BB0000;">✖</span> <span style="color: #0000BB;">dplyr</span>::<span style="color: #00BB00;">filter()</span> masks <span style="color: #0000BB;">stats</span>::filter()</span>
@@ -101,9 +101,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Use the conflicted package (<span style="color: #0000BB; font-style: italic;">&lt;http://conflicted.r-lib.org/&gt;</span>) to force all conflicts to become errors</span>
 <span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://docs.ropensci.org/targets/" class="external-link">targets</a></span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu">targets</span><span class="fu">::</span><span class="fu"><a href="https://docs.ropensci.org/targets/reference/tar_load.html" class="external-link">tar_load</a></span><span class="op">(</span><span class="va">ManyEcoEvo</span><span class="op">)</span></span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error:</span> <span style="color: #BB0000;">targets data store _targets not found. Utility functions like tar_read() and tar_load() require a pre-existing targets data store (default: _targets/) created by tar_make(), tar_make_clustermq(), or tar_make_future(). Details: https://books.ropensci.org/targets/data.html</span></span>
+<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error:</span> targets data store _targets not found. Utility functions like tar_read() and tar_load() require a pre-existing targets data store (default: _targets/) created by tar_make(), tar_make_clustermq(), or tar_make_future(). Details: https://books.ropensci.org/targets/data.html</span>
 <span class="r-in"><span><span class="fu">targets</span><span class="fu">::</span><span class="fu"><a href="https://docs.ropensci.org/targets/reference/tar_load.html" class="external-link">tar_load</a></span><span class="op">(</span><span class="va">expert_subset</span><span class="op">)</span></span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error:</span> <span style="color: #BB0000;">targets data store _targets not found. Utility functions like tar_read() and tar_load() require a pre-existing targets data store (default: _targets/) created by tar_make(), tar_make_clustermq(), or tar_make_future(). Details: https://books.ropensci.org/targets/data.html</span></span>
+<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error:</span> targets data store _targets not found. Utility functions like tar_read() and tar_load() require a pre-existing targets data store (default: _targets/) created by tar_make(), tar_make_clustermq(), or tar_make_future(). Details: https://books.ropensci.org/targets/data.html</span>
 <span class="r-in"><span><span class="va">ManyEcoEvo</span> <span class="op"><a href="pipe.html">%&gt;%</a></span></span></span>
 <span class="r-in"><span><span class="fu"><a href="prepare_response_variables.html">prepare_response_variables</a></span><span class="op">(</span>estimate_type <span class="op">=</span> <span class="st">"Zr"</span><span class="op">)</span> <span class="op">|&gt;</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="generate_exclusion_subsets.html">generate_exclusion_subsets</a></span><span class="op">(</span>estimate_type <span class="op">=</span> <span class="st">"Zr"</span><span class="op">)</span> <span class="op">|&gt;</span></span></span>
@@ -309,7 +309,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #BB0000;">✖</span> Required values for computing standardised effect sizes missing:</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> Returning <span style="color: #0000BB;">"NA"</span> for tupple:</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> 1. beta_estimate <span style="color: #0000BB;">NA</span>,</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> 2. beta_se <span style="color: #0000BB;">0.00783099999999999</span>,</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> 2. beta_se <span style="color: #0000BB;">0.007831</span>,</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> 3. adjusted_df <span style="color: #0000BB;">NA</span>.</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #BB0000;">✖</span> Required values for computing standardised effect sizes missing:</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #BBBB00;">!</span> Returning <span style="color: #0000BB;">"NA"</span> for tupple:</span>
@@ -509,11 +509,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/generate_outlier_subsets.html b/reference/generate_outlier_subsets.html
index ebbfd40..ec99b38 100644
--- a/reference/generate_outlier_subsets.html
+++ b/reference/generate_outlier_subsets.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Removes top outlier for yi datasets and top 2 and bottom 2 outliers for Zr datasets"><title>Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets"><meta property="og:description" content="Removes top outlier for yi datasets and top 2 and bottom 2 outliers for Zr datasets"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Removes top outlier for yi datasets and top 2 and bottom 2 outliers for Zr datasets"><title>Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets"><meta property="og:description" content="Removes top outlier for yi datasets and top 2 and bottom 2 outliers for Zr datasets"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -108,11 +108,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/generate_rating_subsets.html b/reference/generate_rating_subsets.html
index e4d00aa..a04482c 100644
--- a/reference/generate_rating_subsets.html
+++ b/reference/generate_rating_subsets.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generates two subsets of data based on for both complete and partial exclusion datasets for both yi and Zr estimates."><title>Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets"><meta property="og:description" content="Generates two subsets of data based on for both complete and partial exclusion datasets for both yi and Zr estimates."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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diff --git a/reference/generate_yi_subsets.html b/reference/generate_yi_subsets.html
index 869d3f7..37ee953 100644
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@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets."><title>Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets"><meta property="og:description" content="Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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@@ -108,11 +108,11 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
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 </div>
 
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diff --git a/reference/get_MA_fit_stats.html b/reference/get_MA_fit_stats.html
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@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Extract meta-analytic statistics like \(I^2\), etc."><title>Extract meta-analytic statistics like \(I^2\), etc. — get_MA_fit_stats • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Extract meta-analytic statistics like \(I^2\), etc. — get_MA_fit_stats"><meta property="og:description" content="Extract meta-analytic statistics like \(I^2\), etc."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Extract meta-analytic statistics like \(I^2\), etc."><title>Extract meta-analytic statistics like \(I^2\), etc. — get_MA_fit_stats • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Extract meta-analytic statistics like \(I^2\), etc. — get_MA_fit_stats"><meta property="og:description" content="Extract meta-analytic statistics like \(I^2\), etc."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -79,11 +79,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/get_diversity_data.html b/reference/get_diversity_data.html
index 90ff54e..eeed490 100644
--- a/reference/get_diversity_data.html
+++ b/reference/get_diversity_data.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Get Diversity Data"><title>Get Diversity Data — get_diversity_data • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get Diversity Data — get_diversity_data"><meta property="og:description" content="Get Diversity Data"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Get Diversity Data"><title>Get Diversity Data — get_diversity_data • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get Diversity Data — get_diversity_data"><meta property="og:description" content="Get Diversity Data"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -89,11 +89,11 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/gg_forest.html b/reference/gg_forest.html
index dc8e8ba..618d410 100644
--- a/reference/gg_forest.html
+++ b/reference/gg_forest.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Forestplot with ggplot2"><title>Forestplot with ggplot2 — gg_forest • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Forestplot with ggplot2 — gg_forest"><meta property="og:description" content="Forestplot with ggplot2"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Forestplot with ggplot2"><title>Forestplot with ggplot2 — gg_forest • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Forestplot with ggplot2 — gg_forest"><meta property="og:description" content="Forestplot with ggplot2"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -87,11 +87,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/i2_ml.html b/reference/i2_ml.html
index 6b953da..025a143 100644
--- a/reference/i2_ml.html
+++ b/reference/i2_ml.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="I2 (I-squared) for mulilevel meta-analytic models, based on Nakagawa &amp;amp; Santos (2012). Under multilevel models, we can have multiple I2 (see also Senior et al. 2016). Alternatively, the method proposed by Wolfgang Viechtbauer can also be used."><title>i2_ml — i2_ml • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="i2_ml — i2_ml"><meta property="og:description" content="I2 (I-squared) for mulilevel meta-analytic models, based on Nakagawa &amp;amp; Santos (2012). Under multilevel models, we can have multiple I2 (see also Senior et al. 2016). Alternatively, the method proposed by Wolfgang Viechtbauer can also be used."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="I2 (I-squared) for mulilevel meta-analytic models, based on Nakagawa &amp;amp; Santos (2012). Under multilevel models, we can have multiple I2 (see also Senior et al. 2016). Alternatively, the method proposed by Wolfgang Viechtbauer can also be used."><title>i2_ml — i2_ml • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="i2_ml — i2_ml"><meta property="og:description" content="I2 (I-squared) for mulilevel meta-analytic models, based on Nakagawa &amp;amp; Santos (2012). Under multilevel models, we can have multiple I2 (see also Senior et al. 2016). Alternatively, the method proposed by Wolfgang Viechtbauer can also be used."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -95,11 +95,11 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/identity_back.html b/reference/identity_back.html
index 77b59fd..fb0db52 100644
--- a/reference/identity_back.html
+++ b/reference/identity_back.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Back transform beta estimates for models with identity-link"><title>Back transform beta estimates for models with identity-link — identity_back • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Back transform beta estimates for models with identity-link — identity_back"><meta property="og:description" content="Back transform beta estimates for models with identity-link"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -100,11 +100,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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     </footer></div>
diff --git a/reference/index.html b/reference/index.html
index be99612..2f96372 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Function reference • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function reference"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Function reference • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function reference"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -51,7 +51,7 @@
     <div class="section level2">
       <h2 id="unprocessed-data-cleaning-and-checking">Unprocessed data cleaning and checking<a class="anchor" aria-label="anchor" href="#unprocessed-data-cleaning-and-checking"></a></h2>
       
-      <p class="section-desc"></p><p>Functions for cleaning and QA checking unprocessed analyst data</p>
+      <div class="section-desc"><p>Functions for cleaning and QA checking unprocessed analyst data</p></div>
 
       
     </div><div class="section level2">
@@ -134,7 +134,7 @@ <h3 id="working-with-analyst-provided-out-of-sample-predictions">Working with an
       </dl></div><div class="section level2">
       <h2 id="data-processing-for-meta-analysis-and-modelling">Data Processing for Meta-analysis and Modelling<a class="anchor" aria-label="anchor" href="#data-processing-for-meta-analysis-and-modelling"></a></h2>
       
-      <p class="section-desc"></p><p>Calculating and standardising variables for analysis</p>
+      <div class="section-desc"><p>Calculating and standardising variables for analysis</p></div>
 
       
     </div><div id="" class="section level2">
@@ -280,7 +280,7 @@ <h2 id="data-processing-for-meta-analysis-and-modelling">Data Processing for Met
       </dl></div><div class="section level2">
       <h2 id="process-and-create-datasets-for-analysis">Process and create datasets for analysis<a class="anchor" aria-label="anchor" href="#process-and-create-datasets-for-analysis"></a></h2>
       
-      <p class="section-desc"></p><p>Functions for creating datasets ready for meta-analysis or other analyses</p>
+      <div class="section-desc"><p>Functions for creating datasets ready for meta-analysis or other analyses</p></div>
 
       
     </div><div id="" class="section level2">
@@ -341,7 +341,7 @@ <h2 id="process-and-create-datasets-for-analysis">Process and create datasets fo
       </dl></div><div class="section level2">
       <h2 id="model-fitting-meta-analysis">Model Fitting &amp; Meta-analysis<a class="anchor" aria-label="anchor" href="#model-fitting-meta-analysis"></a></h2>
       
-      <p class="section-desc"></p><p>Functions for fitting meta-analysis and other models described ion <em>Gould et al. (2023)</em></p>
+      <div class="section-desc"><p>Functions for fitting meta-analysis and other models described ion <em>Gould et al. (2023)</em></p></div>
 
       
     </div><div id="" class="section level2">
@@ -392,7 +392,7 @@ <h2 id="model-fitting-meta-analysis">Model Fitting &amp; Meta-analysis<a class="
       </dl></div><div class="section level2">
       <h2 id="extracting-analysis-outputs-visualisation">Extracting Analysis Outputs &amp; Visualisation<a class="anchor" aria-label="anchor" href="#extracting-analysis-outputs-visualisation"></a></h2>
       
-      <p class="section-desc"></p><p>Functions for extracting model outputs, and visualising analysis results</p>
+      <div class="section-desc"><p>Functions for extracting model outputs, and visualising analysis results</p></div>
 
       
     </div><div id="" class="section level2">
@@ -417,6 +417,16 @@ <h2 id="extracting-analysis-outputs-visualisation">Extracting Analysis Outputs &
         <dd>Marginal Effects Plot of Diversity Index Model</dd>
       </dl><dl><dt>
           
+          <code><a href="plot_model_means_box_cox_cat.html">plot_model_means_box_cox_cat()</a></code> 
+        </dt>
+        <dd>plot_model_means_box_cox_cat</dd>
+      </dl><dl><dt>
+          
+          <code><a href="plot_model_means_orchard.html">plot_model_means_orchard()</a></code> 
+        </dt>
+        <dd>plot_model_means_orchard</dd>
+      </dl><dl><dt>
+          
           <code><a href="i2_ml.html">i2_ml()</a></code> 
         </dt>
         <dd>i2_ml</dd>
@@ -448,7 +458,7 @@ <h2 id="extracting-analysis-outputs-visualisation">Extracting Analysis Outputs &
       </dl></div><div class="section level2">
       
       <h3 id="summarising-analysis-features">Summarising Analysis Features<a class="anchor" aria-label="anchor" href="#summarising-analysis-features"></a></h3>
-      <p class="section-desc"></p><p>Functions for summarising qualitative and quantitative features of analyses, including model specification and variable selection, analyst conclusions and modelling approaches.</p>
+      <div class="section-desc"><p>Functions for summarising qualitative and quantitative features of analyses, including model specification and variable selection, analyst conclusions and modelling approaches.</p></div>
 
       
     </div><div id="" class="section level2">
@@ -529,7 +539,7 @@ <h3 id="summarising-analysis-features">Summarising Analysis Features<a class="an
       </dl></div><div class="section level2">
       <h2 id="scaling-up-working-with-data-subsets-or-multiple-datasets">Scaling Up: Working with data subsets or multiple datasets<a class="anchor" aria-label="anchor" href="#scaling-up-working-with-data-subsets-or-multiple-datasets"></a></h2>
       
-      <p class="section-desc"></p><p>Functions for working with multiple datasets or data subsets within a tidyverse list-column framework.</p>
+      <div class="section-desc"><p>Functions for working with multiple datasets or data subsets within a tidyverse list-column framework.</p></div>
 
       
     </div><div class="section level2">
@@ -597,7 +607,7 @@ <h3 id="generate-data-subsets-of-full-manyecoevo-or-manyanalyst-dataset">Generat
       </dl></div><div class="section level2">
       <h2 id="utility-functions">Utility Functions<a class="anchor" aria-label="anchor" href="#utility-functions"></a></h2>
       
-      <p class="section-desc"></p><p>Miscelaneous utility functions</p>
+      <div class="section-desc"><p>Miscelaneous utility functions</p></div>
 
       
     </div><div id="" class="section level2">
@@ -621,11 +631,11 @@ <h2 id="utility-functions">Utility Functions<a class="anchor" aria-label="anchor
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/inverse_back.html b/reference/inverse_back.html
index c395a25..d1684e9 100644
--- a/reference/inverse_back.html
+++ b/reference/inverse_back.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Back transform beta estimates for models with $1/x$ link"><title>Back transform beta estimates for models with $1/x$ link — inverse_back • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Back transform beta estimates for models with $1/x$ link — inverse_back"><meta property="og:description" content="Back transform beta estimates for models with $1/x$ link"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Back transform beta estimates for models with $1/x$ link"><title>Back transform beta estimates for models with $1/x$ link — inverse_back • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Back transform beta estimates for models with $1/x$ link — inverse_back"><meta property="og:description" content="Back transform beta estimates for models with $1/x$ link"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -100,11 +100,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/log_back.html b/reference/log_back.html
index c470025..0b8c85b 100644
--- a/reference/log_back.html
+++ b/reference/log_back.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Back transform beta estimates for models with log-link"><title>Back transform beta estimates for models with log-link — log_back • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Back transform beta estimates for models with log-link — log_back"><meta property="og:description" content="Back transform beta estimates for models with log-link"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Back transform beta estimates for models with log-link"><title>Back transform beta estimates for models with log-link — log_back • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Back transform beta estimates for models with log-link — log_back"><meta property="og:description" content="Back transform beta estimates for models with log-link"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -100,11 +100,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/log_transform.html b/reference/log_transform.html
index 695e166..9e6b311 100644
--- a/reference/log_transform.html
+++ b/reference/log_transform.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="log transform response-scale yi estimates"><title>log transform response-scale yi estimates — log_transform • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="log transform response-scale yi estimates — log_transform"><meta property="og:description" content="log transform response-scale yi estimates"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="log transform response-scale yi estimates"><title>log transform response-scale yi estimates — log_transform • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="log transform response-scale yi estimates — log_transform"><meta property="og:description" content="log transform response-scale yi estimates"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -84,8 +84,8 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">log_transform</span><span class="op">(</span><span class="fl">1.77</span>, <span class="fl">1.01</span>, <span class="fl">1000</span><span class="op">)</span> </span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> Log-transformed out-of-sample predictions, using <span style="color: #0000BB;">1000</span> simulations.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    mean_log std.error_log     lower    upper</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1 0.4661114     0.7304484 -1.332882 1.314684</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    mean_log std.error_log     lower   upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 0.4322238     0.7719505 -1.409577 1.34147</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
@@ -93,11 +93,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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     </footer></div>
diff --git a/reference/logit_back.html b/reference/logit_back.html
index 39de80f..5c7e30a 100644
--- a/reference/logit_back.html
+++ b/reference/logit_back.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Back transform beta estimates for models with logit-link"><title>Back transform beta estimates for models with logit-link — logit_back • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Back transform beta estimates for models with logit-link — logit_back"><meta property="og:description" content="Back transform beta estimates for models with logit-link"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
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@@ -100,11 +100,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/make_param_table.html b/reference/make_param_table.html
index 1d00327..225a3f8 100644
--- a/reference/make_param_table.html
+++ b/reference/make_param_table.html
@@ -1,6 +1,6 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="make_param_table() calculates the mean and standard deviation of
-all numeric variables in a dataframe or tibble."><title>Make paramater table — make_param_table • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Make paramater table — make_param_table"><meta property="og:description" content="make_param_table() calculates the mean and standard deviation of
+all numeric variables in a dataframe or tibble."><title>Make paramater table — make_param_table • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Make paramater table — make_param_table"><meta property="og:description" content="make_param_table() calculates the mean and standard deviation of
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@@ -8,7 +8,7 @@
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -122,11 +122,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/make_viz.html b/reference/make_viz.html
index 19ef7b4..425bc7e 100644
--- a/reference/make_viz.html
+++ b/reference/make_viz.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Computes model summaries, tidy model summaries, model fit stats, funnel plots and forest plots for a dataframe of multiple fitted models"><title>Make visualisations wrapper function — make_viz • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Make visualisations wrapper function — make_viz"><meta property="og:description" content="Computes model summaries, tidy model summaries, model fit stats, funnel plots and forest plots for a dataframe of multiple fitted models"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -106,11 +106,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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     </footer></div>
diff --git a/reference/meta_analyse_datasets.html b/reference/meta_analyse_datasets.html
index ca52e54..dc139c4 100644
--- a/reference/meta_analyse_datasets.html
+++ b/reference/meta_analyse_datasets.html
@@ -10,7 +10,7 @@
 To be implemented: a multivariate regression #TODO
 The deviation scores on transformed categorical ratings but with no intercept (for nice plotting / ecploration).
 
-"><title>Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets"><meta property="og:description" content="Runs all meta-analyses and regression models for the ManyEcoEvo project analysis, including:
+"><title>Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets"><meta property="og:description" content="Runs all meta-analyses and regression models for the ManyEcoEvo project analysis, including:
 Fitting univariate / fixed-effects meta-analysis
 Calculating the deviation of every effect size / point-estimate from the meta-analytic mean for all data subsetes
 The absolute, box-cox transformed deviation scores
@@ -28,7 +28,7 @@
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -140,11 +140,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
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 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/named_group_split.html b/reference/named_group_split.html
index ca5bf4d..54ff01d 100644
--- a/reference/named_group_split.html
+++ b/reference/named_group_split.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Split data frame by groups and name elements"><title>Split data frame by groups and name elements — named_group_split • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Split data frame by groups and name elements — named_group_split"><meta property="og:description" content="Split data frame by groups and name elements"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Split data frame by groups and name elements"><title>Split data frame by groups and name elements — named_group_split • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Split data frame by groups and name elements — named_group_split"><meta property="og:description" content="Split data frame by groups and name elements"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
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@@ -724,11 +724,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/pipe.html b/reference/pipe.html
index b3f4d51..c3b2c93 100644
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+++ b/reference/pipe.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="See magrittr::%&amp;gt;% for details."><title>Pipe operator — %&gt;% • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Pipe operator — %&gt;%"><meta property="og:description" content="See magrittr::%&amp;gt;% for details."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -81,11 +81,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/plot_cont_rating_effects.html b/reference/plot_cont_rating_effects.html
index b204a5c..fbbdf94 100644
--- a/reference/plot_cont_rating_effects.html
+++ b/reference/plot_cont_rating_effects.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Plot Marginal Effects for Numeric Rating Model"><title>Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects"><meta property="og:description" content="Plot Marginal Effects for Numeric Rating Model"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Plot Marginal Effects for Numeric Rating Model"><title>Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects"><meta property="og:description" content="Plot Marginal Effects for Numeric Rating Model"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -120,11 +120,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/plot_effects_diversity.html b/reference/plot_effects_diversity.html
index fd66fcd..a3abb98 100644
--- a/reference/plot_effects_diversity.html
+++ b/reference/plot_effects_diversity.html
@@ -1,12 +1,12 @@
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diff --git a/reference/plot_model_means_box_cox_cat.html b/reference/plot_model_means_box_cox_cat.html
new file mode 100644
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+++ b/reference/plot_model_means_box_cox_cat.html
@@ -0,0 +1,126 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Plot model means for box-cox transformed deviation scores as a function of categorical ratings"><title>plot_model_means_box_cox_cat — plot_model_means_box_cox_cat • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="plot_model_means_box_cox_cat — plot_model_means_box_cox_cat"><meta property="og:description" content="Plot model means for box-cox transformed deviation scores as a function of categorical ratings"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>plot_model_means_box_cox_cat</h1>
+      <small class="dont-index">Source: <a href="https://github.com/egouldo/ManyEcoEvo/blob/HEAD/R/plot_model_means_box_cox_cat.R" class="external-link"><code>R/plot_model_means_box_cox_cat.R</code></a></small>
+      <div class="d-none name"><code>plot_model_means_box_cox_cat.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Plot model means for box-cox transformed deviation scores as a function of categorical ratings</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plot_model_means_box_cox_cat</span><span class="op">(</span></span>
+<span>  <span class="va">dat</span>,</span>
+<span>  <span class="va">variable</span>,</span>
+<span>  <span class="va">predictor_means</span>,</span>
+<span>  <span class="va">new_order</span>,</span>
+<span>  <span class="va">title</span>,</span>
+<span>  <span class="va">lambda</span>,</span>
+<span>  back_transform <span class="op">=</span> <span class="cn">FALSE</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+    <dl><dt>dat</dt>
+<dd><p>Data for plotting</p></dd>
+
+
+<dt>variable</dt>
+<dd><p>Categorical predictor variable to plot</p></dd>
+
+
+<dt>predictor_means</dt>
+<dd><p>A tibble containing the means and confidence intervals of the predictor variable</p></dd>
+
+
+<dt>new_order</dt>
+<dd><p>A character vector of the new order of the levels of the categorical predictor</p></dd>
+
+
+<dt>title</dt>
+<dd><p>A character vector of the plot title</p></dd>
+
+
+<dt>lambda</dt>
+<dd><p>A length 1 numeric vector of the lambda value used in the box-cox transformation</p></dd>
+
+
+<dt>back_transform</dt>
+<dd><p>A logical indicating whether to back-transform the box-cox transformed data</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    
+
+<p>A ggplot object</p>
+    </div>
+
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+    </nav></aside></div>
+
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+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
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+
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diff --git a/reference/plot_model_means_orchard.html b/reference/plot_model_means_orchard.html
new file mode 100644
index 0000000..359fb00
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+++ b/reference/plot_model_means_orchard.html
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+<!DOCTYPE html>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>plot_model_means_orchard</h1>
+      <small class="dont-index">Source: <a href="https://github.com/egouldo/ManyEcoEvo/blob/HEAD/R/plot_model_means_orchard.R" class="external-link"><code>R/plot_model_means_orchard.R</code></a></small>
+      <div class="d-none name"><code>plot_model_means_orchard.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Plot the means of a model with a predictor variable</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plot_model_means_orchard</span><span class="op">(</span><span class="va">dat</span>, <span class="va">variable</span>, <span class="va">predictor_means</span>, <span class="va">new_order</span>, <span class="va">title</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+    <dl><dt>dat</dt>
+<dd><p>A tibble with the data to plot</p></dd>
+
+
+<dt>variable</dt>
+<dd><p>A character string of the predictor variable to plot</p></dd>
+
+
+<dt>predictor_means</dt>
+<dd><p>A tibble with the means of the model</p></dd>
+
+
+<dt>new_order</dt>
+<dd><p>A character vector of the new order of the <code>variable</code></p></dd>
+
+
+<dt>title</dt>
+<dd><p>A character string of the plot title</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    
+
+<p>A ggplot object</p>
+    </div>
+
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+    </nav></aside></div>
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+
diff --git a/reference/power_back.html b/reference/power_back.html
index c34dc82..aa6a411 100644
--- a/reference/power_back.html
+++ b/reference/power_back.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Back transform beta estimates for models with power-link"><title>Back transform beta estimates for models with power-link — power_back • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Back transform beta estimates for models with power-link — power_back"><meta property="og:description" content="Back transform beta estimates for models with power-link"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -104,11 +104,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/pred_to_Z.html b/reference/pred_to_Z.html
index dc53ee9..8390fb7 100644
--- a/reference/pred_to_Z.html
+++ b/reference/pred_to_Z.html
@@ -1,12 +1,12 @@
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -79,11 +79,11 @@ <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
 
 
     <footer><div class="pkgdown-footer-left">
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 </div>
 
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/prepare_ManyEcoEvo.html b/reference/prepare_ManyEcoEvo.html
index 90b8397..62553ea 100644
--- a/reference/prepare_ManyEcoEvo.html
+++ b/reference/prepare_ManyEcoEvo.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Prepare ManyEcoEvo raw dataset"><title>Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo"><meta property="og:description" content="Prepare ManyEcoEvo raw dataset"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Prepare ManyEcoEvo raw dataset"><title>Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo"><meta property="og:description" content="Prepare ManyEcoEvo raw dataset"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -114,11 +114,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/prepare_ManyEcoEvo_yi.html b/reference/prepare_ManyEcoEvo_yi.html
index f2ee88a..491f5c7 100644
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+++ b/reference/prepare_ManyEcoEvo_yi.html
@@ -1,12 +1,12 @@
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -126,11 +126,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/prepare_diversity_raw.html b/reference/prepare_diversity_raw.html
index f69e8bc..5119346 100644
--- a/reference/prepare_diversity_raw.html
+++ b/reference/prepare_diversity_raw.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Prepares data required for calculating Sorensen diversity indices across all analyses. \(Non-targets function\)"><title>Prepare diversity index data — prepare_diversity_raw • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Prepare diversity index data — prepare_diversity_raw"><meta property="og:description" content="Prepares data required for calculating Sorensen diversity indices across all analyses. \(Non-targets function\)"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -81,11 +81,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/prepare_response_variables.html b/reference/prepare_response_variables.html
index d3ff353..fc41524 100644
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diff --git a/reference/prepare_response_variables_yi.html b/reference/prepare_response_variables_yi.html
index 0aa71f0..d9c7150 100644
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+++ b/reference/prepare_response_variables_yi.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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     <footer><div class="pkgdown-footer-left">
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diff --git a/reference/prepare_review_data.html b/reference/prepare_review_data.html
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@@ -1,12 +1,12 @@
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Prepare peer-review data from Qualtrics"><title>Prepare peer-review data from Qualtrics — prepare_review_data • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Prepare peer-review data from Qualtrics — prepare_review_data"><meta property="og:description" content="Prepare peer-review data from Qualtrics"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -92,11 +92,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/preprocess_prediction_files.html b/reference/preprocess_prediction_files.html
index 02948f3..3fe3495 100644
--- a/reference/preprocess_prediction_files.html
+++ b/reference/preprocess_prediction_files.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Preprocess Prediction Files"><title>Preprocess Prediction Files — preprocess_prediction_files • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Preprocess Prediction Files — preprocess_prediction_files"><meta property="og:description" content="Preprocess Prediction Files"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Preprocess Prediction Files"><title>Preprocess Prediction Files — preprocess_prediction_files • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Preprocess Prediction Files — preprocess_prediction_files"><meta property="og:description" content="Preprocess Prediction Files"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -81,11 +81,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/preprocess_updated_prediction_files.html b/reference/preprocess_updated_prediction_files.html
index 1dca145..3a691f8 100644
--- a/reference/preprocess_updated_prediction_files.html
+++ b/reference/preprocess_updated_prediction_files.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
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     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/probit_back.html b/reference/probit_back.html
index 0a90097..b01eae8 100644
--- a/reference/probit_back.html
+++ b/reference/probit_back.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -100,11 +100,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
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-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/read_submission_data.html b/reference/read_submission_data.html
index afb1993..fcb604e 100644
--- a/reference/read_submission_data.html
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@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Read out-of-sample-prediction analyst submission data"><title>Read out-of-sample-prediction analyst submission data — read_submission_data • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Read out-of-sample-prediction analyst submission data — read_submission_data"><meta property="og:description" content="Read out-of-sample-prediction analyst submission data"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -77,11 +77,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/rm_inf_na.html b/reference/rm_inf_na.html
index 2877e14..efdec7f 100644
--- a/reference/rm_inf_na.html
+++ b/reference/rm_inf_na.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Removes infinite and NA values from a dataframe of standardised effects"><title>Removes infinite and NA values from a dataframe of standardised effects — rm_inf_na • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Removes infinite and NA values from a dataframe of standardised effects — rm_inf_na"><meta property="og:description" content="Removes infinite and NA values from a dataframe of standardised effects"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Removes infinite and NA values from a dataframe of standardised effects"><title>Removes infinite and NA values from a dataframe of standardised effects — rm_inf_na • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Removes infinite and NA values from a dataframe of standardised effects — rm_inf_na"><meta property="og:description" content="Removes infinite and NA values from a dataframe of standardised effects"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -85,11 +85,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/run_model_checks.html b/reference/run_model_checks.html
index c2b9987..da32c30 100644
--- a/reference/run_model_checks.html
+++ b/reference/run_model_checks.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -81,11 +81,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/square_back.html b/reference/square_back.html
index db6d463..bba611d 100644
--- a/reference/square_back.html
+++ b/reference/square_back.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Back transform beta estimates for models with $x^2$-link"><title>Back transform beta estimates for models with $x^2$-link — square_back • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Back transform beta estimates for models with $x^2$-link — square_back"><meta property="og:description" content="Back transform beta estimates for models with $x^2$-link"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Back transform beta estimates for models with $x^2$-link"><title>Back transform beta estimates for models with $x^2$-link — square_back • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Back transform beta estimates for models with $x^2$-link — square_back"><meta property="og:description" content="Back transform beta estimates for models with $x^2$-link"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -100,11 +100,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/square_root_back.html b/reference/square_root_back.html
index 2016187..ae0a64e 100644
--- a/reference/square_root_back.html
+++ b/reference/square_root_back.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root"><title>Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back"><meta property="og:description" content="Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -100,11 +100,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/standardise_response.html b/reference/standardise_response.html
index f7ed1cb..4aceb45 100644
--- a/reference/standardise_response.html
+++ b/reference/standardise_response.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Standardise Response Variable"><title>Standardise Response Variable — standardise_response • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Standardise Response Variable — standardise_response"><meta property="og:description" content="Standardise Response Variable"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Standardise Response Variable"><title>Standardise Response Variable — standardise_response • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Standardise Response Variable — standardise_response"><meta property="og:description" content="Standardise Response Variable"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -99,11 +99,11 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/subset_fns_Zr.html b/reference/subset_fns_Zr.html
index 59a0ffd..d0ad50c 100644
--- a/reference/subset_fns_Zr.html
+++ b/reference/subset_fns_Zr.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
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     <footer><div class="pkgdown-footer-left">
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diff --git a/reference/subset_fns_yi.html b/reference/subset_fns_yi.html
index d26fcd5..9c2d0e4 100644
--- a/reference/subset_fns_yi.html
+++ b/reference/subset_fns_yi.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generates a list of functions that are used to subset the processed ManyEcoEvo dataset containing out-of-sample predictions \(y\_i\)"><title>Subsetting Functions for yi analysis — subset_fns_yi • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Subsetting Functions for yi analysis — subset_fns_yi"><meta property="og:description" content="Generates a list of functions that are used to subset the processed ManyEcoEvo dataset containing out-of-sample predictions \(y\_i\)"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -71,11 +71,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/summarise_analyses_by_reviewer.html b/reference/summarise_analyses_by_reviewer.html
index 6c32df5..32f317b 100644
--- a/reference/summarise_analyses_by_reviewer.html
+++ b/reference/summarise_analyses_by_reviewer.html
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 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Summarise analyses reviewed by reviewer"><title>Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer"><meta property="og:description" content="Summarise analyses reviewed by reviewer"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
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     <footer><div class="pkgdown-footer-left">
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 </div>
 
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/summarise_analysis_types.html b/reference/summarise_analysis_types.html
index 5c48766..e10d267 100644
--- a/reference/summarise_analysis_types.html
+++ b/reference/summarise_analysis_types.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generates a summary of the number of analysis teams, total analyses, models with normal error distributions, mixed effects models, and models developed using Bayesian statistical methods for a given analysis type."><title>Summarise Analysis Types — summarise_analysis_types • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarise Analysis Types — summarise_analysis_types"><meta property="og:description" content="Generates a summary of the number of analysis teams, total analyses, models with normal error distributions, mixed effects models, and models developed using Bayesian statistical methods for a given analysis type."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generates a summary of the number of analysis teams, total analyses, models with normal error distributions, mixed effects models, and models developed using Bayesian statistical methods for a given analysis type."><title>Summarise Analysis Types — summarise_analysis_types • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarise Analysis Types — summarise_analysis_types"><meta property="og:description" content="Generates a summary of the number of analysis teams, total analyses, models with normal error distributions, mixed effects models, and models developed using Bayesian statistical methods for a given analysis type."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
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@@ -136,11 +136,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/summarise_conclusions.html b/reference/summarise_conclusions.html
index 07695aa..3ed3a28 100644
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+++ b/reference/summarise_conclusions.html
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diff --git a/reference/summarise_conclusions_data.html b/reference/summarise_conclusions_data.html
index b49b376..a96aa98 100644
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+++ b/reference/summarise_conclusions_data.html
@@ -1,12 +1,12 @@
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index 3c3a2c6..f0c2b36 100644
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculate descriptive statistics (mean, sd, min, max) for number of fixed effects, number of random effects, number of interactions and sample size of models for each dataset across both out of sample predictions and standardized corelation coefficients."><title>Summarise Model Composition — summarise_model_composition • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarise Model Composition — summarise_model_composition"><meta property="og:description" content="Calculate descriptive statistics (mean, sd, min, max) for number of fixed effects, number of random effects, number of interactions and sample size of models for each dataset across both out of sample predictions and standardized corelation coefficients."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -145,11 +145,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/summarise_model_composition_data.html b/reference/summarise_model_composition_data.html
index cc7eee7..5b499a0 100644
--- a/reference/summarise_model_composition_data.html
+++ b/reference/summarise_model_composition_data.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes"><title>Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data"><meta property="og:description" content="Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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@@ -101,11 +101,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/summarise_reviews.html b/reference/summarise_reviews.html
index ab531ce..0a47678 100644
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@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculates summary statistics (mean, sd, min, max) of both the number of analyses peer-reviewed by each reviewer, and the number of reviews received by each analysis."><title>Summarise Peer-Reviews — summarise_reviews • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarise Peer-Reviews — summarise_reviews"><meta property="og:description" content="Calculates summary statistics (mean, sd, min, max) of both the number of analyses peer-reviewed by each reviewer, and the number of reviews received by each analysis."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculates summary statistics (mean, sd, min, max) of both the number of analyses peer-reviewed by each reviewer, and the number of reviews received by each analysis."><title>Summarise Peer-Reviews — summarise_reviews • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarise Peer-Reviews — summarise_reviews"><meta property="og:description" content="Calculates summary statistics (mean, sd, min, max) of both the number of analyses peer-reviewed by each reviewer, and the number of reviews received by each analysis."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -135,11 +135,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/summarise_reviews_per_analysis.html b/reference/summarise_reviews_per_analysis.html
index bf3d8ab..89143a9 100644
--- a/reference/summarise_reviews_per_analysis.html
+++ b/reference/summarise_reviews_per_analysis.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Summarise reviews per each analysis"><title>Summarise reviews per each analysis — summarise_reviews_per_analysis • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarise reviews per each analysis — summarise_reviews_per_analysis"><meta property="og:description" content="Summarise reviews per each analysis"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Summarise reviews per each analysis"><title>Summarise reviews per each analysis — summarise_reviews_per_analysis • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarise reviews per each analysis — summarise_reviews_per_analysis"><meta property="og:description" content="Summarise reviews per each analysis"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -93,11 +93,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/summarise_sorensen_index.html b/reference/summarise_sorensen_index.html
index 272de43..f06b334 100644
--- a/reference/summarise_sorensen_index.html
+++ b/reference/summarise_sorensen_index.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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diff --git a/reference/summarise_sorensen_index_data.html b/reference/summarise_sorensen_index_data.html
index 2fe3fae..a92761f 100644
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+++ b/reference/summarise_sorensen_index_data.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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diff --git a/reference/summarise_variable_counts.html b/reference/summarise_variable_counts.html
index c018c3a..207531b 100644
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Using count_analyses_variables_used() calculates the counts of analyses in which each variable is used for a given dataset. Further summarisation of those counts ( mean, sd, min and max) is optional, see details."><title>Summarise variable usage across analyses — summarise_variable_counts • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarise variable usage across analyses — summarise_variable_counts"><meta property="og:description" content="Using count_analyses_variables_used() calculates the counts of analyses in which each variable is used for a given dataset. Further summarisation of those counts ( mean, sd, min and max) is optional, see details."><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -161,11 +161,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
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 </div>
 
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/validate_predictions.html b/reference/validate_predictions.html
index a0df4f6..8658240 100644
--- a/reference/validate_predictions.html
+++ b/reference/validate_predictions.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Validate predictions conditioned on dataset"><title>Validate predictions conditioned on dataset — validate_predictions • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Validate predictions conditioned on dataset — validate_predictions"><meta property="og:description" content="Validate predictions conditioned on dataset"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Validate predictions conditioned on dataset"><title>Validate predictions conditioned on dataset — validate_predictions • ManyEcoEvo</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Validate predictions conditioned on dataset — validate_predictions"><meta property="og:description" content="Validate predictions conditioned on dataset"><meta property="og:image" content="https://egouldo.github.io/ManyEcoEvo/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">ManyEcoEvo</a>
 
@@ -85,11 +85,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
+  <p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/validate_predictions_df_blue_tit.html b/reference/validate_predictions_df_blue_tit.html
index 6cf84cf..51c33e7 100644
--- a/reference/validate_predictions_df_blue_tit.html
+++ b/reference/validate_predictions_df_blue_tit.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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     <footer><div class="pkgdown-footer-left">
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diff --git a/reference/validate_predictions_df_euc.html b/reference/validate_predictions_df_euc.html
index d954ea1..ad64c7a 100644
--- a/reference/validate_predictions_df_euc.html
+++ b/reference/validate_predictions_df_euc.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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@@ -81,11 +81,11 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Elliot Gould, Hannah S. Fraser, Shinichi Nakagawa, Timothy H. Parker.</p>
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diff --git a/search.json b/search.json
index 4dfcd5f..fecc817 100644
--- a/search.json
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@@ -1 +1 @@
-[{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement elliot.gould@unimelb.edu.au. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.0, available https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc. <http://fsf.org/> Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"GNU General Public License free, copyleft license software kinds works. licenses software practical works designed take away freedom share change works. contrast, GNU General Public License intended guarantee freedom share change versions program–make sure remains free software users. , Free Software Foundation, use GNU General Public License software; applies also work released way authors. can apply programs, . speak free software, referring freedom, price. General Public Licenses designed make sure freedom distribute copies free software (charge wish), receive source code can get want , can change software use pieces new free programs, know can things. protect rights, need prevent others denying rights asking surrender rights. Therefore, certain responsibilities distribute copies software, modify : responsibilities respect freedom others. example, distribute copies program, whether gratis fee, must pass recipients freedoms received. must make sure , , receive can get source code. must show terms know rights. Developers use GNU GPL protect rights two steps: (1) assert copyright software, (2) offer License giving legal permission copy, distribute /modify . developers’ authors’ protection, GPL clearly explains warranty free software. users’ authors’ sake, GPL requires modified versions marked changed, problems attributed erroneously authors previous versions. devices designed deny users access install run modified versions software inside , although manufacturer can . fundamentally incompatible aim protecting users’ freedom change software. systematic pattern abuse occurs area products individuals use, precisely unacceptable. Therefore, designed version GPL prohibit practice products. problems arise substantially domains, stand ready extend provision domains future versions GPL, needed protect freedom users. Finally, every program threatened constantly software patents. States allow patents restrict development use software general-purpose computers, , wish avoid special danger patents applied free program make effectively proprietary. prevent , GPL assures patents used render program non-free. precise terms conditions copying, distribution modification follow.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_0-definitions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"0. Definitions","title":"GNU General Public License","text":"“License” refers version 3 GNU General Public License. “Copyright” also means copyright-like laws apply kinds works, semiconductor masks. “Program” refers copyrightable work licensed License. licensee addressed “”. “Licensees” “recipients” may individuals organizations. “modify” work means copy adapt part work fashion requiring copyright permission, making exact copy. resulting work called “modified version” earlier work work “based ” earlier work. “covered work” means either unmodified Program work based Program. “propagate” work means anything , without permission, make directly secondarily liable infringement applicable copyright law, except executing computer modifying private copy. Propagation includes copying, distribution (without modification), making available public, countries activities well. “convey” work means kind propagation enables parties make receive copies. Mere interaction user computer network, transfer copy, conveying. interactive user interface displays “Appropriate Legal Notices” extent includes convenient prominently visible feature (1) displays appropriate copyright notice, (2) tells user warranty work (except extent warranties provided), licensees may convey work License, view copy License. interface presents list user commands options, menu, prominent item list meets criterion.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_1-source-code","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"1. Source Code","title":"GNU General Public License","text":"“source code” work means preferred form work making modifications . “Object code” means non-source form work. “Standard Interface” means interface either official standard defined recognized standards body, , case interfaces specified particular programming language, one widely used among developers working language. “System Libraries” executable work include anything, work whole, () included normal form packaging Major Component, part Major Component, (b) serves enable use work Major Component, implement Standard Interface implementation available public source code form. “Major Component”, context, means major essential component (kernel, window system, ) specific operating system () executable work runs, compiler used produce work, object code interpreter used run . “Corresponding Source” work object code form means source code needed generate, install, (executable work) run object code modify work, including scripts control activities. However, include work’s System Libraries, general-purpose tools generally available free programs used unmodified performing activities part work. example, Corresponding Source includes interface definition files associated source files work, source code shared libraries dynamically linked subprograms work specifically designed require, intimate data communication control flow subprograms parts work. Corresponding Source need include anything users can regenerate automatically parts Corresponding Source. Corresponding Source work source code form work.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_2-basic-permissions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"2. Basic Permissions","title":"GNU General Public License","text":"rights granted License granted term copyright Program, irrevocable provided stated conditions met. License explicitly affirms unlimited permission run unmodified Program. output running covered work covered License output, given content, constitutes covered work. License acknowledges rights fair use equivalent, provided copyright law. may make, run propagate covered works convey, without conditions long license otherwise remains force. may convey covered works others sole purpose make modifications exclusively , provide facilities running works, provided comply terms License conveying material control copyright. thus making running covered works must exclusively behalf, direction control, terms prohibit making copies copyrighted material outside relationship . Conveying circumstances permitted solely conditions stated . Sublicensing allowed; section 10 makes unnecessary.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_3-protecting-users-legal-rights-from-anti-circumvention-law","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"3. Protecting Users’ Legal Rights From Anti-Circumvention Law","title":"GNU General Public License","text":"covered work shall deemed part effective technological measure applicable law fulfilling obligations article 11 WIPO copyright treaty adopted 20 December 1996, similar laws prohibiting restricting circumvention measures. convey covered work, waive legal power forbid circumvention technological measures extent circumvention effected exercising rights License respect covered work, disclaim intention limit operation modification work means enforcing, work’s users, third parties’ legal rights forbid circumvention technological measures.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_4-conveying-verbatim-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"4. Conveying Verbatim Copies","title":"GNU General Public License","text":"may convey verbatim copies Program’s source code receive , medium, provided conspicuously appropriately publish copy appropriate copyright notice; keep intact notices stating License non-permissive terms added accord section 7 apply code; keep intact notices absence warranty; give recipients copy License along Program. may charge price price copy convey, may offer support warranty protection fee.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_5-conveying-modified-source-versions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"5. Conveying Modified Source Versions","title":"GNU General Public License","text":"may convey work based Program, modifications produce Program, form source code terms section 4, provided also meet conditions: ) work must carry prominent notices stating modified , giving relevant date. b) work must carry prominent notices stating released License conditions added section 7. requirement modifies requirement section 4 “keep intact notices”. c) must license entire work, whole, License anyone comes possession copy. License therefore apply, along applicable section 7 additional terms, whole work, parts, regardless packaged. License gives permission license work way, invalidate permission separately received . d) work interactive user interfaces, must display Appropriate Legal Notices; however, Program interactive interfaces display Appropriate Legal Notices, work need make . compilation covered work separate independent works, nature extensions covered work, combined form larger program, volume storage distribution medium, called “aggregate” compilation resulting copyright used limit access legal rights compilation’s users beyond individual works permit. Inclusion covered work aggregate cause License apply parts aggregate.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_6-conveying-non-source-forms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"6. Conveying Non-Source Forms","title":"GNU General Public License","text":"may convey covered work object code form terms sections 4 5, provided also convey machine-readable Corresponding Source terms License, one ways: ) Convey object code , embodied , physical product (including physical distribution medium), accompanied Corresponding Source fixed durable physical medium customarily used software interchange. b) Convey object code , embodied , physical product (including physical distribution medium), accompanied written offer, valid least three years valid long offer spare parts customer support product model, give anyone possesses object code either (1) copy Corresponding Source software product covered License, durable physical medium customarily used software interchange, price reasonable cost physically performing conveying source, (2) access copy Corresponding Source network server charge. c) Convey individual copies object code copy written offer provide Corresponding Source. alternative allowed occasionally noncommercially, received object code offer, accord subsection 6b. d) Convey object code offering access designated place (gratis charge), offer equivalent access Corresponding Source way place charge. need require recipients copy Corresponding Source along object code. place copy object code network server, Corresponding Source may different server (operated third party) supports equivalent copying facilities, provided maintain clear directions next object code saying find Corresponding Source. Regardless server hosts Corresponding Source, remain obligated ensure available long needed satisfy requirements. e) Convey object code using peer--peer transmission, provided inform peers object code Corresponding Source work offered general public charge subsection 6d. separable portion object code, whose source code excluded Corresponding Source System Library, need included conveying object code work. “User Product” either (1) “consumer product”, means tangible personal property normally used personal, family, household purposes, (2) anything designed sold incorporation dwelling. determining whether product consumer product, doubtful cases shall resolved favor coverage. particular product received particular user, “normally used” refers typical common use class product, regardless status particular user way particular user actually uses, expects expected use, product. product consumer product regardless whether product substantial commercial, industrial non-consumer uses, unless uses represent significant mode use product. “Installation Information” User Product means methods, procedures, authorization keys, information required install execute modified versions covered work User Product modified version Corresponding Source. information must suffice ensure continued functioning modified object code case prevented interfered solely modification made. convey object code work section , , specifically use , User Product, conveying occurs part transaction right possession use User Product transferred recipient perpetuity fixed term (regardless transaction characterized), Corresponding Source conveyed section must accompanied Installation Information. requirement apply neither third party retains ability install modified object code User Product (example, work installed ROM). requirement provide Installation Information include requirement continue provide support service, warranty, updates work modified installed recipient, User Product modified installed. Access network may denied modification materially adversely affects operation network violates rules protocols communication across network. Corresponding Source conveyed, Installation Information provided, accord section must format publicly documented (implementation available public source code form), must require special password key unpacking, reading copying.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_7-additional-terms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"7. Additional Terms","title":"GNU General Public License","text":"“Additional permissions” terms supplement terms License making exceptions one conditions. Additional permissions applicable entire Program shall treated though included License, extent valid applicable law. additional permissions apply part Program, part may used separately permissions, entire Program remains governed License without regard additional permissions. convey copy covered work, may option remove additional permissions copy, part . (Additional permissions may written require removal certain cases modify work.) may place additional permissions material, added covered work, can give appropriate copyright permission. Notwithstanding provision License, material add covered work, may (authorized copyright holders material) supplement terms License terms: ) Disclaiming warranty limiting liability differently terms sections 15 16 License; b) Requiring preservation specified reasonable legal notices author attributions material Appropriate Legal Notices displayed works containing ; c) Prohibiting misrepresentation origin material, requiring modified versions material marked reasonable ways different original version; d) Limiting use publicity purposes names licensors authors material; e) Declining grant rights trademark law use trade names, trademarks, service marks; f) Requiring indemnification licensors authors material anyone conveys material (modified versions ) contractual assumptions liability recipient, liability contractual assumptions directly impose licensors authors. non-permissive additional terms considered “restrictions” within meaning section 10. Program received , part , contains notice stating governed License along term restriction, may remove term. license document contains restriction permits relicensing conveying License, may add covered work material governed terms license document, provided restriction survive relicensing conveying. add terms covered work accord section, must place, relevant source files, statement additional terms apply files, notice indicating find applicable terms. Additional terms, permissive non-permissive, may stated form separately written license, stated exceptions; requirements apply either way.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_8-termination","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"8. Termination","title":"GNU General Public License","text":"may propagate modify covered work except expressly provided License. attempt otherwise propagate modify void, automatically terminate rights License (including patent licenses granted third paragraph section 11). However, cease violation License, license particular copyright holder reinstated () provisionally, unless copyright holder explicitly finally terminates license, (b) permanently, copyright holder fails notify violation reasonable means prior 60 days cessation. Moreover, license particular copyright holder reinstated permanently copyright holder notifies violation reasonable means, first time received notice violation License (work) copyright holder, cure violation prior 30 days receipt notice. Termination rights section terminate licenses parties received copies rights License. rights terminated permanently reinstated, qualify receive new licenses material section 10.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_9-acceptance-not-required-for-having-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"9. Acceptance Not Required for Having Copies","title":"GNU General Public License","text":"required accept License order receive run copy Program. Ancillary propagation covered work occurring solely consequence using peer--peer transmission receive copy likewise require acceptance. However, nothing License grants permission propagate modify covered work. actions infringe copyright accept License. Therefore, modifying propagating covered work, indicate acceptance License .","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_10-automatic-licensing-of-downstream-recipients","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"10. Automatic Licensing of Downstream Recipients","title":"GNU General Public License","text":"time convey covered work, recipient automatically receives license original licensors, run, modify propagate work, subject License. responsible enforcing compliance third parties License. “entity transaction” transaction transferring control organization, substantially assets one, subdividing organization, merging organizations. propagation covered work results entity transaction, party transaction receives copy work also receives whatever licenses work party’s predecessor interest give previous paragraph, plus right possession Corresponding Source work predecessor interest, predecessor can get reasonable efforts. may impose restrictions exercise rights granted affirmed License. example, may impose license fee, royalty, charge exercise rights granted License, may initiate litigation (including cross-claim counterclaim lawsuit) alleging patent claim infringed making, using, selling, offering sale, importing Program portion .","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_11-patents","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"11. Patents","title":"GNU General Public License","text":"“contributor” copyright holder authorizes use License Program work Program based. work thus licensed called contributor’s “contributor version”. contributor’s “essential patent claims” patent claims owned controlled contributor, whether already acquired hereafter acquired, infringed manner, permitted License, making, using, selling contributor version, include claims infringed consequence modification contributor version. purposes definition, “control” includes right grant patent sublicenses manner consistent requirements License. contributor grants non-exclusive, worldwide, royalty-free patent license contributor’s essential patent claims, make, use, sell, offer sale, import otherwise run, modify propagate contents contributor version. following three paragraphs, “patent license” express agreement commitment, however denominated, enforce patent (express permission practice patent covenant sue patent infringement). “grant” patent license party means make agreement commitment enforce patent party. convey covered work, knowingly relying patent license, Corresponding Source work available anyone copy, free charge terms License, publicly available network server readily accessible means, must either (1) cause Corresponding Source available, (2) arrange deprive benefit patent license particular work, (3) arrange, manner consistent requirements License, extend patent license downstream recipients. “Knowingly relying” means actual knowledge , patent license, conveying covered work country, recipient’s use covered work country, infringe one identifiable patents country reason believe valid. , pursuant connection single transaction arrangement, convey, propagate procuring conveyance , covered work, grant patent license parties receiving covered work authorizing use, propagate, modify convey specific copy covered work, patent license grant automatically extended recipients covered work works based . patent license “discriminatory” include within scope coverage, prohibits exercise , conditioned non-exercise one rights specifically granted License. may convey covered work party arrangement third party business distributing software, make payment third party based extent activity conveying work, third party grants, parties receive covered work , discriminatory patent license () connection copies covered work conveyed (copies made copies), (b) primarily connection specific products compilations contain covered work, unless entered arrangement, patent license granted, prior 28 March 2007. Nothing License shall construed excluding limiting implied license defenses infringement may otherwise available applicable patent law.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_12-no-surrender-of-others-freedom","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"12. No Surrender of Others’ Freedom","title":"GNU General Public License","text":"conditions imposed (whether court order, agreement otherwise) contradict conditions License, excuse conditions License. convey covered work satisfy simultaneously obligations License pertinent obligations, consequence may convey . example, agree terms obligate collect royalty conveying convey Program, way satisfy terms License refrain entirely conveying Program.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_13-use-with-the-gnu-affero-general-public-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"13. Use with the GNU Affero General Public License","title":"GNU General Public License","text":"Notwithstanding provision License, permission link combine covered work work licensed version 3 GNU Affero General Public License single combined work, convey resulting work. terms License continue apply part covered work, special requirements GNU Affero General Public License, section 13, concerning interaction network apply combination .","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_14-revised-versions-of-this-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"14. Revised Versions of this License","title":"GNU General Public License","text":"Free Software Foundation may publish revised /new versions GNU General Public License time time. new versions similar spirit present version, may differ detail address new problems concerns. version given distinguishing version number. Program specifies certain numbered version GNU General Public License “later version” applies , option following terms conditions either numbered version later version published Free Software Foundation. Program specify version number GNU General Public License, may choose version ever published Free Software Foundation. Program specifies proxy can decide future versions GNU General Public License can used, proxy’s public statement acceptance version permanently authorizes choose version Program. Later license versions may give additional different permissions. However, additional obligations imposed author copyright holder result choosing follow later version.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_15-disclaimer-of-warranty","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"15. Disclaimer of Warranty","title":"GNU General Public License","text":"WARRANTY PROGRAM, EXTENT PERMITTED APPLICABLE LAW. EXCEPT OTHERWISE STATED WRITING COPYRIGHT HOLDERS /PARTIES PROVIDE PROGRAM “” WITHOUT WARRANTY KIND, EITHER EXPRESSED IMPLIED, INCLUDING, LIMITED , IMPLIED WARRANTIES MERCHANTABILITY FITNESS PARTICULAR PURPOSE. ENTIRE RISK QUALITY PERFORMANCE PROGRAM . PROGRAM PROVE DEFECTIVE, ASSUME COST NECESSARY SERVICING, REPAIR CORRECTION.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_16-limitation-of-liability","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"16. Limitation of Liability","title":"GNU General Public License","text":"EVENT UNLESS REQUIRED APPLICABLE LAW AGREED WRITING COPYRIGHT HOLDER, PARTY MODIFIES /CONVEYS PROGRAM PERMITTED , LIABLE DAMAGES, INCLUDING GENERAL, SPECIAL, INCIDENTAL CONSEQUENTIAL DAMAGES ARISING USE INABILITY USE PROGRAM (INCLUDING LIMITED LOSS DATA DATA RENDERED INACCURATE LOSSES SUSTAINED THIRD PARTIES FAILURE PROGRAM OPERATE PROGRAMS), EVEN HOLDER PARTY ADVISED POSSIBILITY DAMAGES.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_17-interpretation-of-sections-15-and-16","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"17. Interpretation of Sections 15 and 16","title":"GNU General Public License","text":"disclaimer warranty limitation liability provided given local legal effect according terms, reviewing courts shall apply local law closely approximates absolute waiver civil liability connection Program, unless warranty assumption liability accompanies copy Program return fee. END TERMS CONDITIONS","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively state exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. program terminal interaction, make output short notice like starts interactive mode: hypothetical commands show w show c show appropriate parts General Public License. course, program’s commands might different; GUI interface, use “box”. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU GPL, see <http://www.gnu.org/licenses/>. GNU General Public License permit incorporating program proprietary programs. program subroutine library, may consider useful permit linking proprietary applications library. want , use GNU Lesser General Public License instead License. first, please read <http://www.gnu.org/philosophy/--lgpl.html>.","code":"<one line to give the program's name and a brief idea of what it does.> Copyright (C) <year>  <name of author>  This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.  This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.  You should have received a copy of the GNU General Public License along with this program.  If not, see <http://www.gnu.org/licenses/>. <program>  Copyright (C) <year>  <name of author> This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/data_cleaning_preparation.html","id":"data-cleaning","dir":"Articles","previous_headings":"","what":"Data Cleaning","title":"Data Cleaning & Preparation for Analysis","text":"Analysts may report estimates various scales, example may report values link response scales, may also …. order proceed effect size standardisation standardisation, transformations back-transformations need applied. Anonymising submissions - anonymise_teams() / anonymise_id_col() clean_response_transformation() Depends scale values reported (link / response), transformation applied response variable, predictor variable.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/data_cleaning_preparation.html","id":"data-preprocessing","dir":"Articles","previous_headings":"","what":"Data Preprocessing","title":"Data Cleaning & Preparation for Analysis","text":"distinction processing cleaning?","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/data_cleaning_preparation.html","id":"back-transforming-response-variables","dir":"Articles","previous_headings":"Data Preprocessing","what":"Back-transforming response variables","title":"Data Cleaning & Preparation for Analysis","text":"meta-analysis units need standardized analysts use different response / outcome variables, may need ensure talking units correct scale can standardize.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/data_cleaning_preparation.html","id":"standardising-effect-sizes","dir":"Articles","previous_headings":"Data Preprocessing","what":"Standardising effect sizes","title":"Data Cleaning & Preparation for Analysis","text":"pred_to_Z() (data frame level), Z_VZ_preds() est_to_Zr()","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/data_cleaning_preparation.html","id":"calculating-sorensen-similarity-index","dir":"Articles","previous_headings":"Data Preprocessing","what":"Calculating Sorensen similarity index","title":"Data Cleaning & Preparation for Analysis","text":"apply_sorensen_calc() calculate_sorensen_diversity_index() (also needs renamed)","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/multiple_datasets.html","id":"a-tidy-approach-with-list-columns-and-nested-dataframes","dir":"Articles","previous_headings":"","what":"A tidy approach with list-columns and nested dataframes","title":"Scaling Up: working with multiple subsets or multiple datasets","text":"list-columns tidy modelling approach.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/multiple_datasets.html","id":"working-with-multiple-datasets","dir":"Articles","previous_headings":"A tidy approach with list-columns and nested dataframes","what":"Working with Multiple datasets","title":"Scaling Up: working with multiple subsets or multiple datasets","text":"Multiple different datasets might want replicate analyses compare. E.g. Blue tit vs. Eucalyptus. Demonstrate approach analysis pipeline ManyEcoEvo just using blue tit Eucalyptus data -> make_viz() etc.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/multiple_datasets.html","id":"creating-data-subsets-based-on-various-exclusion-principles","dir":"Articles","previous_headings":"A tidy approach with list-columns and nested dataframes","what":"Creating data subsets based on various exclusion principles","title":"Scaling Up: working with multiple subsets or multiple datasets","text":"Generate different subsets: - generate_exclusion_subsets() - generate_expertise_subsets() - generate_outlier_subsets() - generate_rating_subsets() - generate_yi_subsets()","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Elliot Gould. Author, maintainer. Hannah S. Fraser. Author. Shinichi Nakagawa. Author. Timothy H. Parker. Author.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Gould E, Fraser H, Nakagawa S, Parker T (2023). “ManyEcoEvo: Meta-analyse data ManyAnalyst style studies.” TBC.","code":"@Article{,   title = {ManyEcoEvo: Meta-analyse data from ManyAnalyst style studies},   author = {Elliot Gould and Hannah S. Fraser and Shinichi Nakagawa and Timothy H. Parker},   journal = {TBC},   year = {2023}, }"},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"manyecoevo-","dir":"","previous_headings":"","what":"Meta-analyse data from Many-Analysts style studies","title":"Meta-analyse data from Many-Analysts style studies","text":"ManyEcoEvo package provides suite functions : Summarising, analysing visualising ManyEcoEvo dataset Gould et al.1 Tidying cleaning many-analyst style data analysis Reproducing analysis Gould et al. using many-analyst style data Note manuscript source-code Gould et al. located separate repository https://github.com/egouldo/ManyAnalysts, can viewed https://egouldo.github.io/ManyAnalysts/.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Meta-analyse data from Many-Analysts style studies","text":"ManyEcoEvo:: can installed using devtools:: GitHub :","code":"devtools::install_github(\"egouldo/ManyEcoEvo\")"},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"regenerating-the-manyecoevo-dataset","dir":"","previous_headings":"","what":"Regenerating the ManyEcoEvo dataset","title":"Meta-analyse data from Many-Analysts style studies","text":"data processing analysis can freely reproduced help targets:: package. Please see documentation https://docs.ropensci.org/targets/ detail. wish completely reproduce dataset generation analysis Gould et al., complete following steps: Clone download https://github.com/egouldo/repository Run renv::restore() load packages used analysis pipeline locally machine (see [renv::]https://rstudio.github.io/renv/index.html) details) Run tar_destroy() remove record caches existing targets Run targets::tar_make() console, depending power machine, analysis pipeline take 2 7 minutes execute (plus minus !) can view table targets pipeline running targets::tar_meta() interact objects ‘targets’ within analysis pipeline, call targest::tar_load() targets::tar_read():","code":"targets::tar_read(\"ManyEcoEvo\") # A tibble: 2 × 4   dataset    data                diversity_data      estimate_type   <chr>      <list>              <named list>        <chr>         1 blue tit   <tibble [174 × 38]> <tibble [174 × 54]> Zr            2 eucalyptus <tibble [128 × 38]> <tibble [128 × 61]> Zr"},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"license","dir":"","previous_headings":"","what":"License","title":"Meta-analyse data from Many-Analysts style studies","text":"software licensed GNU GPL 3 license.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"contributing","dir":"","previous_headings":"","what":"Contributing","title":"Meta-analyse data from Many-Analysts style studies","text":"package released Contributor Code Conduct.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Meta-analyse data from Many-Analysts style studies","text":"","code":"To cite package ‘ManyEcoEvo’ in publications use:    Gould E, Fraser H, Nakagawa S, Parker T (2023). _ManyEcoEvo: Meta-analyse   data from 'Many-Analysts' style studies_. R package version 1.0.0,   <https://github.com/egouldo/ManyEcoEvo>.  A BibTeX entry for LaTeX users is    @Manual{,     title = {ManyEcoEvo: Meta-analyse data from 'Many-Analysts' style studies},     author = {Elliot Gould and Hannah S. Fraser and Shinichi Nakagawa and Timothy H. Parker},     year = {2023},     note = {R package version 1.0.0},     url = {https://github.com/egouldo/ManyEcoEvo},   }"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/NotIn.html","id":null,"dir":"Reference","previous_headings":"","what":"Negative Value Matching — %in%","title":"Negative Value Matching — %in%","text":"See base:: details. %nin% binary operator, returning logical vector indicating negative match .","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/NotIn.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Negative Value Matching — %in%","text":"","code":"lhs %in% rhs"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/NotIn.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Negative Value Matching — %in%","text":"lhs vector NULL: values matched. Long vectors supported. rhs vector NULL: values matched. Long vectors supported.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/NotIn.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Negative Value Matching — %in%","text":"logical vector indicating value lhs matched rhs","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/Z_VZ_preds.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds","title":"Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds","text":"Calculate Z VZ --sample predictions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/Z_VZ_preds.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds","text":"","code":"Z_VZ_preds(yi, yi_se, mu_p, sd_p)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/Z_VZ_preds.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds","text":"yi point-estimate prediction, response scale yi_se standard error yi mu_p Population mean variable estimated yi sd_p Population standard deviation variable estimated yi","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/Z_VZ_preds.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds","text":"tibble columns Z VZ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/anonymise_teams.html","id":null,"dir":"Reference","previous_headings":"","what":"Anonymise ManyEcoEvo Data — anonymise_teams","title":"Anonymise ManyEcoEvo Data — anonymise_teams","text":"Anonymise ManyEcoEvo Data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/anonymise_teams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Anonymise ManyEcoEvo Data — anonymise_teams","text":"","code":"anonymise_teams(df, lookup)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/anonymise_teams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Anonymise ManyEcoEvo Data — anonymise_teams","text":"df dataframe containing column id_col lookup dataframe containing columns TeamIdentifier New_Identifier","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/anonymise_teams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Anonymise ManyEcoEvo Data — anonymise_teams","text":"df anonymised values id_col based New_Identifier colum lookup","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_VZ_exclusions.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions","title":"Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions","text":"Apply VZ exclusion data-frame containing list-columns yi subsets","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_VZ_exclusions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions","text":"","code":"apply_VZ_exclusions(df = data.frame(), VZ_cutoff = numeric(1L))"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_VZ_exclusions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions","text":"df dataframe yi data subsets generated generate_yi_subsets\\(\\). VZ_cutoff numeric vector length 1, values equal greater value VZ filtered dataframes stored df's list-column data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_VZ_exclusions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions","text":"dataframe yi subsets, whose extreme values VZ removed.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_sorensen_calc.html","id":null,"dir":"Reference","previous_headings":"","what":"Applies the sorensen diversity index calculation to variable diversity dataset — apply_sorensen_calc","title":"Applies the sorensen diversity index calculation to variable diversity dataset — apply_sorensen_calc","text":"Applies sorensen diversity index calculation variable diversity dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_sorensen_calc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Applies the sorensen diversity index calculation to variable diversity dataset — apply_sorensen_calc","text":"","code":"apply_sorensen_calc(.data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_sorensen_calc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Applies the sorensen diversity index calculation to variable diversity dataset — apply_sorensen_calc","text":".data variable diversity dataset columns unique variable used analyses. Values NA analysis use variable, take value variable character string analysis use variable. unique analysis row.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_sorensen_calc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Applies the sorensen diversity index calculation to variable diversity dataset — apply_sorensen_calc","text":"tibble containing variables id_col, mean_diversity_index num_variables","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apportion_heterogeneity_ml.html","id":null,"dir":"Reference","previous_headings":"","what":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","title":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","text":"Estimates much total variance $^2$ can attributed - within- cluster heterogeneity separately.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apportion_heterogeneity_ml.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","text":"","code":"apportion_heterogeneity_ml(fitted_model)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apportion_heterogeneity_ml.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","text":"fitted_model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apportion_heterogeneity_ml.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","text":"named numeric vector length 2.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apportion_heterogeneity_ml.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","text":"http://www.metafor-project.org/doku.php/tips:i2_multilevel_multivariate","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/assign_transformation_type.html","id":null,"dir":"Reference","previous_headings":"","what":"Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type","title":"Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type","text":"Assign back-transformation type applied analysis point-estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/assign_transformation_type.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type","text":"","code":"assign_transformation_type(   response_transformation = character(1L),   link_fun = character(1L) )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/assign_transformation_type.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type","text":"response_transformation Character vector length 1L containing analysis response transformation link_fun Character vector length 1L containing analysis link function","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/assign_transformation_type.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type","text":"character vector length 1L","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":"augment_prediction_data() relabel remove extraneous columns --sample prediction data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":"","code":"augment_prediction_data(.data, checks, dataset)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":".data data.frame -sample-predictions analyst submission data checks data.frame pointblank interrogation output .data dataset character string equal either \"blue tit\" \"eucalyptus\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":"dataframe. Individual analyst submission containing augmented --sample prediction data ready meta-analysis.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":"missing variables .data checks missing, NA returned augmented prediction data instead.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":"","code":"# for testing and dev purposes: # safe_augment <- purrr:::safely(augment_prediction_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/back_transform_response_vars_yi.html","id":null,"dir":"Reference","previous_headings":"","what":"Back Transform Response Variables - yi — back_transform_response_vars_yi","title":"Back Transform Response Variables - yi — back_transform_response_vars_yi","text":"Back Transform Response Variables - yi","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/back_transform_response_vars_yi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back Transform Response Variables - yi — back_transform_response_vars_yi","text":"","code":"back_transform_response_vars_yi(   dat,   estimate_type = character(1L),   param_table = NULL,   dataset = character(1L) )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/back_transform_response_vars_yi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back Transform Response Variables - yi — back_transform_response_vars_yi","text":"estimate_type type estimate standardised. Character vector length 1, whose value may  \"yi\", \"y25\", \"y50\", \"y75\". param_table table estimated 'population' parameters variable analysis datasets. dataset One either \"blue tit\" \"eucalyptus\" data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/back_transform_response_vars_yi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back Transform Response Variables - yi — back_transform_response_vars_yi","text":"tibble analyst data standardised values contained list-column called 'back_transformed_data'","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/box_cox_transform.html","id":null,"dir":"Reference","previous_headings":"","what":"Box-cox transform absolute deviation from the meta-analytic mean scores — box_cox_transform","title":"Box-cox transform absolute deviation from the meta-analytic mean scores — box_cox_transform","text":"Box-cox transform absolute deviation meta-analytic mean scores","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/box_cox_transform.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Box-cox transform absolute deviation from the meta-analytic mean scores — box_cox_transform","text":"","code":"box_cox_transform(data, dataset)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/box_cox_transform.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Box-cox transform absolute deviation from the meta-analytic mean scores — box_cox_transform","text":"data Dataset model fitting, must contain columns \"abs_deviation_score_estimate\" standard error dataset character string either \"blue tit\" \"eucalyptus\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/box_cox_transform.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Box-cox transform absolute deviation from the meta-analytic mean scores — box_cox_transform","text":"data additional columns box-cox transformed deviation scores variance","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calc_I2_ml.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","title":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","text":"Calculate I2 multilevel meta-analytic model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calc_I2_ml.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","text":"","code":"calc_I2_ml(fitted_model)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calc_I2_ml.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","text":"fitted_model class rma.mv","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calc_I2_ml.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","text":"numeric vector length 1.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calc_I2_ml.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","text":"http://www.metafor-project.org/doku.php/tips:i2_multilevel_multivariate described Nakagawa & Santos, 2012.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_deviation_score.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate deviation from meta-analytic mean — calculate_deviation_score","title":"Calculate deviation from meta-analytic mean — calculate_deviation_score","text":"Calculate absolute deviation standardised effect size meta-analytic mean","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_deviation_score.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate deviation from meta-analytic mean — calculate_deviation_score","text":"","code":"calculate_deviation_score(data, meta_analytic_model)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_deviation_score.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate deviation from meta-analytic mean — calculate_deviation_score","text":"data Dataset containing column \"Z\" \\(standardised sample prediction piont estimates\\) standardised effect-sizes, \"Zr\". meta_analytic_model Fitted meta-analytic model class rma","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_deviation_score.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate deviation from meta-analytic mean — calculate_deviation_score","text":"data additional column deviation score estimates \"abs_deviation_score_estimate\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_deviation_score.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate deviation from meta-analytic mean — calculate_deviation_score","text":"","code":"# Example Usage: TODO - this is incorrect bc box-cox transformation is included in meta_analyse_datasets_wrapper # library(tidyverse); library(targets) # tar_load(meta_analysis_outputs) # calculate_deviation_score(meta_analysis_outputs$data[[1]], #                           meta_analysis_outputs$MA_mod[[1]])"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_sorensen_diversity_index.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate mean sorensen diversity index values for an analyst dataset — calculate_sorensen_diversity_index","title":"Calculate mean sorensen diversity index values for an analyst dataset — calculate_sorensen_diversity_index","text":"Calculate mean sorensen diversity index values analyst dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_sorensen_diversity_index.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate mean sorensen diversity index values for an analyst dataset — calculate_sorensen_diversity_index","text":"","code":"calculate_sorensen_diversity_index(.data, .id = character())"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_sorensen_diversity_index.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate mean sorensen diversity index values for an analyst dataset — calculate_sorensen_diversity_index","text":".data variable diversity dataset columns unique variable used analyses. Values NA analysis use variable, take value variable character string analysis use variable. unique analysis row. .id character string analysis identifier column","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_sorensen_diversity_index.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate mean sorensen diversity index values for an analyst dataset — calculate_sorensen_diversity_index","text":"tibble containing variables id_col, mean_diversity_index num_variables","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/capwords.html","id":null,"dir":"Reference","previous_headings":"","what":"Capitalise Words — capwords","title":"Capitalise Words — capwords","text":"Capitalise Words","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/capwords.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Capitalise Words — capwords","text":"","code":"capwords(s, strict = FALSE)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/capwords.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Capitalise Words — capwords","text":"s character string containing words captalised strict whether capitalise words ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/capwords.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Capitalise Words — capwords","text":"character string whose words now capitalised","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/capwords.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Capitalise Words — capwords","text":"","code":"capwords(\"bah, bah, black sheep\") #> [1] \"Bah, Bah, Black Sheep\""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/clean_response_transformation.html","id":null,"dir":"Reference","previous_headings":"","what":"Clean response transformation variable — clean_response_transformation","title":"Clean response transformation variable — clean_response_transformation","text":"Cleans response transformation variable names back-transformation functions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/clean_response_transformation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Clean response transformation variable — clean_response_transformation","text":"","code":"clean_response_transformation(response_transformation)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/clean_response_transformation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Clean response transformation variable — clean_response_transformation","text":"response_transformation character vector ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/clean_response_transformation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Clean response transformation variable — clean_response_transformation","text":"character vector cleaned response transformation values equal required transformation values conversion()","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compare_ml_MA.html","id":null,"dir":"Reference","previous_headings":"","what":"Compare two fitted multi-level models — compare_ml_MA","title":"Compare two fitted multi-level models — compare_ml_MA","text":"Compares two fitted multi-level models tidies results","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compare_ml_MA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compare two fitted multi-level models — compare_ml_MA","text":"","code":"compare_ml_MA(object1, object2)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compare_ml_MA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compare two fitted multi-level models — compare_ml_MA","text":"object1 fitted model class mra.mv object2 Another fitted model class mra.mv","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compare_ml_MA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compare two fitted multi-level models — compare_ml_MA","text":"tibble descriptive statistics model fit","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_MA_inputs.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","title":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","text":"Computes sorensen diversity indices joins prepared data preparation meta-analysing subsets data meta_analyse_datasets().","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_MA_inputs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","text":"","code":"compute_MA_inputs(ManyEcoEvo, estimate_type = NULL)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_MA_inputs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","text":"ManyEcoEvo dataframe grouped character columns dataset, estimate_type, exclusion_set. group corresponds subset full dataset, subset analyst data  stored data, corresponding subset diversity_data. estimate_type","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_MA_inputs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","text":"dataframe includes additional columns ManyEcoEvo, added columns diversity_indices effects_analysis.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_MA_inputs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","text":"name subset derived funs generated subset_fns_yi /subset_fns_Zr. Computes sorensen diversity indices diversity_indices subset data returning list-columns diversity_indices joins subset analyst data, returning list-column effects_analysis.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_metaanalysis_inputs.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute all metaanalysis inputs for different types of estimates — compute_metaanalysis_inputs","title":"Compute all metaanalysis inputs for different types of estimates — compute_metaanalysis_inputs","text":"Compute metaanalysis inputs different types estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_metaanalysis_inputs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute all metaanalysis inputs for different types of estimates — compute_metaanalysis_inputs","text":"","code":"compute_metaanalysis_inputs(.data, estimate_type = character(1L))"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_metaanalysis_inputs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute all metaanalysis inputs for different types of estimates — compute_metaanalysis_inputs","text":".data dataset containing necessary values computing meta-analysis inputs estimate_type character string, one \"Zr\", \"yi\", \"y25\", \"y50\", \"y75\".","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_metaanalysis_inputs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute all metaanalysis inputs for different types of estimates — compute_metaanalysis_inputs","text":"dataframe processed data ready meta-analysis","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion.html","id":null,"dir":"Reference","previous_headings":"","what":"Conditionally apply back-transformation — conversion","title":"Conditionally apply back-transformation — conversion","text":"Conditionally apply back-transformation functions depending value transformation","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conditionally apply back-transformation — conversion","text":"","code":"conversion(beta, se, transformation, sim = 10000)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Conditionally apply back-transformation — conversion","text":"beta Beta estimate, numeric vector length 1. se Standard error beta estimate, numeric vector length 1 transformation Character string describing transformation sim Number simulations use back-transformation. Defaults $10000$.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Conditionally apply back-transformation — conversion","text":"outputs back-transformation function, see family back-transformations","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Conditionally apply back-transformation — conversion","text":"transformation character strings may take values: \"log\" \"logit\" \"probit\" \"square\" \"probit\" \"double_transformation\" \"cube\" \"inverse\" \"square_root\" \"powerX\", X numeric \"divided..X\", X numeric","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion_2.html","id":null,"dir":"Reference","previous_headings":"","what":"Conditionally apply back-transformation — conversion_2","title":"Conditionally apply back-transformation — conversion_2","text":"Conditionally apply back-transformation functions depending value transformation","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion_2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conditionally apply back-transformation — conversion_2","text":"","code":"conversion_2(beta, se, response_transformation, link_fun, sim = 10000)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion_2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Conditionally apply back-transformation — conversion_2","text":"beta Beta estimate, numeric vector length 1. se Standard error beta estimate, numeric vector length 1 response_transformation Character string describing transformation link_fun Character string describing link function sim Number simulations use back-transformation. Defaults $10000$.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion_2.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Conditionally apply back-transformation — conversion_2","text":"outputs back-transformation function, see family back-transformations","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/convert_predictions.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert Predictions — convert_predictions","title":"Convert Predictions — convert_predictions","text":"Converts sample predictions link scale back response scale","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/convert_predictions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert Predictions — convert_predictions","text":"","code":"convert_predictions(   augmented_data,   transformation_type,   response_transformation,   link_fun )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/convert_predictions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert Predictions — convert_predictions","text":"augmented_data tibble analysts's sample prediction data 3 scenarios","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/convert_predictions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert Predictions — convert_predictions","text":"tibble sample predictions response variable scale response variable used analyst","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":null,"dir":"Reference","previous_headings":"","what":"Count number of analyses each variable is used — count_analyses_variables_used","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"Count number analyses variable used","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"","code":"count_analyses_variables_used(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"data dataframe containing variables dataset, id_col columns filled name variable indicating variable usage.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"dataframe counts n variable used across analyses within given dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"Values variable columns character strings NA. NA values treated absence variable given analysis (observation / row), character strings treated presence variable given analysis. Variable presence analysis converted numeric 1's/0's summed calculate total times analysis used across analyses (n).","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"","code":"library(ManyEcoEvo) ManyEcoEvo %>%  select(diversity_data) %>%   tidyr::unnest(diversity_data) %>%   count_analyses_variables_used() #> Error in select(., diversity_data): could not find function \"select\""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise binary coded features of analyses — count_binary_coded_features","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"Summarise binary coded features analyses","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"","code":"count_binary_coded_features(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"data dataframe containing variables dataset, lm, mixed_model, Bayesian, coded binary numeric vectors.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"dataframe variables","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"","code":"ManyEcoEvo %>% filter(dataset == \"eucalyptus\") %>% ungroup %>%  select(data) %>%  unnest(data) %>%  mutate(lm = ifelse(linear_model == \"linear\", 1, 0), #TODO move into master processing         glm = ifelse(linear_model == \"generalised\", 1, 0),         Bayesian = as.numeric(Bayesian)) %>%   count_binary_coded_features() #> Error in mutate(., lm = ifelse(linear_model == \"linear\", 1, 0), glm = ifelse(linear_model ==     \"generalised\", 1, 0), Bayesian = as.numeric(Bayesian)): could not find function \"mutate\""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"Summarise number analyst teams total analyses per dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"","code":"count_teams_analyses(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"data dataframe containing variables TeamIdentifier dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"dataframe columns  dataset, total_teams total_analyses equal number rows number unique values within dataset variable input data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"","code":"ManyEcoEvo %>%  filter(dataset == \"blue tit\") %>%  ungroup %>%  select(data) %>%  unnest(data) %>%  count_teams_analyses() #> Error in unnest(., data): could not find function \"unnest\""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/cube_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with $x^3$-link — cube_back","title":"Back transform beta estimates for models with $x^3$-link — cube_back","text":"Back transform beta estimates models $x^3$-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/cube_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with $x^3$-link — cube_back","text":"","code":"cube_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/cube_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with $x^3$-link — cube_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/cube_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with $x^3$-link — cube_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/divide_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been divided by some number — divide_back","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been divided by some number — divide_back","text":"Back transform beta estimates --sample predictions models whose response variable divided number","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/divide_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been divided by some number — divide_back","text":"","code":"divide_back(beta, se, sim, n)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/divide_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been divided by some number — divide_back","text":"beta Analyst beta estimate. Numeric vector length 1. se Standard error analyst's beta estimate. Numeric vector length 1. sim Number simulations. Numeric vector length 1. n Numeric vector length 1 describing value divisor.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/divide_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been divided by some number — divide_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/est_to_zr.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert estimate to Zr — est_to_zr","title":"Convert estimate to Zr — est_to_zr","text":"Convert estimate Zr","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/est_to_zr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert estimate to Zr — est_to_zr","text":"","code":"est_to_zr(beta_estimate, beta_SE, adjusted_df)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/est_to_zr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert estimate to Zr — est_to_zr","text":"beta_estimate numeric vector, beta estimate analysis either blue tit eucalyptus dataset beta_SE numeric vector, standard error beta_estimate adjusted_df numeric vector adjusted degrees freedom analysis generating beta_SE beta_estimate","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/est_to_zr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert estimate to Zr — est_to_zr","text":"named list length 2 containing converted Zr VZr values","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/est_to_zr.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Convert estimate to Zr — est_to_zr","text":"Convert beta estimate, standard error degrees freedom r Zr sampling variance","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/exclude_extreme_VZ.html","id":null,"dir":"Reference","previous_headings":"","what":"Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ","title":"Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ","text":"Exclude extreme values VZ dataframe standardised predictions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/exclude_extreme_VZ.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ","text":"","code":"exclude_extreme_VZ(df = data.frame(), VZ_cutoff = numeric(1L))"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/exclude_extreme_VZ.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ","text":"df  VZ_cutoff numeric vector length 1, values equal greater value VZ filtered df.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/exclude_extreme_VZ.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ","text":"dataframe observations removed value less VZ\\_cutoff.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cat.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cat","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cat","text":"Fit lmer model box-cox transformed deviation meta-analytic mean scores function continuous peer-review ratings","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cat","text":"","code":"fit_boxcox_ratings_cat(.data, outcome, outcome_var, interceptless = FALSE)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cat","text":".data Data model fitting outcome outcome variable, unquoted. outcome_var Variance outcome variable interceptless logical relating whether model interceptless . Defaults FALSE.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cat","text":"object class lmer.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cont.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","text":"Fit lmer model box-cox transformed deviation meta-analytic mean scores function continuous peer-review ratings","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cont.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","text":"","code":"fit_boxcox_ratings_cont(.data, outcome, outcome_var)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cont.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","text":".data Data model fitting outcome outcome variable, unquoted. outcome_var Variance outcome variable","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cont.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","text":"object class lmer.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cont.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","text":"","code":"# Example Usage: # Note, outcome = the name using NSE of the response variable, otucome_var = the # variance associated with that variable.  # library(tidyverse);library(targets);library(metafor);library(tidymodels);library(multilevelmod) # tar_load(meta_analysis_outputs) # meta_analysis_outputs$data[[1]] %>% #   fit_boxcox_ratings_cont(., #                                   box_cox_abs_deviation_score_estimate, #                                   VZr )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_ord.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord","text":"Fit lmer model box-cox transformed deviation meta-analytic mean scores function continuous peer-review ratings","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_ord.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord","text":"","code":"fit_boxcox_ratings_ord(.data, outcome, outcome_var, interceptless = FALSE)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_ord.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord","text":".data Data model fitting outcome outcome variable, unquoted. outcome_var Variance outcome variable interceptless logical relating whether model interceptless . Defaults FALSE.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_ord.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord","text":"object class lmer.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","title":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","text":"Fit Multivariate Metaregression using metafoR","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","text":"","code":"fit_metafor_mv(estimate, variance, estimate_type = character(1L), data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","text":"estimate Numeric vector variance Numeric vector estimate_type Character vector either \"Zr\", \"y50\", \"y25\", \"y75\". data Dataframe containing estimates variances case id column study_id.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","text":"Object class rma.mv","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","text":"","code":"#TODO -- is this the best way of setting up this fun?? (i.e. to take numeric vectors)? # Example Usage: # library(tidyverse);library(targets);library(metafor) # NOT RUN, TODO: remove after create pkg # source(\"R/functions.R\") #NOT RUN, TODO: remove after create pkg tar_read(round_2_survey_meta_analysis) %>%   filter(dataset == \"eucalyptus\") %>%   filter(!is.na(Zr),          !is.na(VZr),          !is.infinite(Zr),          !is.infinite(VZr)) %>% fit_metafor_mv(estimate = .$Zr, variance = .$VZr, estimate_type = \"Zr\", data = .) #>  #> ── Fitting multivariate metaregression ── #>  #> Error: object 'VZr' not found"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv_reduced.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","title":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","text":"Fit reduced multivariate metaregression model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv_reduced.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","text":"","code":"fit_metafor_mv_reduced(estimate, variance, estimate_type = character(1L), data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv_reduced.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","text":"estimate Numeric vector variance Numeric vector estimate_type Character vector either \"Zr\", \"y50\", \"y25\", \"y75\". data Dataframe containing estimates variances case id column study_id.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv_reduced.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","text":"Object class rma.mv","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv_reduced.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","text":"","code":"#TODO -- is this the best way of setting up this fun?? (i.e. to take numeric vectors)? # Example Usage: # library(tidyverse);library(targets);library(metafor) # NOT RUN, TODO: remove after create pkg # source(\"R/functions.R\") #NOT RUN, TODO: remove after create pkg tar_read(round_2_survey_meta_analysis) %>%   filter(dataset == \"eucalyptus\") %>%   filter(!is.na(Zr),          !is.na(VZr),          !is.infinite(Zr),          !is.infinite(VZr)) %>% fit_metafor_mv(estimate = .$Zr, variance = .$VZr, estimate_type = \"Zr\", data = .) #> ── Fitting multivariate metaregression ── #>  #> Error: object 'VZr' not found"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_uni.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit univariate meta-analysis with metafor — fit_metafor_uni","title":"Fit univariate meta-analysis with metafor — fit_metafor_uni","text":"Fit univariate meta-analysis metafor","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_uni.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit univariate meta-analysis with metafor — fit_metafor_uni","text":"","code":"fit_metafor_uni(Zr, VZr, data, slab)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_uni.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit univariate meta-analysis with metafor — fit_metafor_uni","text":"Zr Standardized beta-estimate VZr Standardised standard error beta estimate data Dataframe containing estimates variances slab Vector case identifiers","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_uni.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit univariate meta-analysis with metafor — fit_metafor_uni","text":"fitted model class rma","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_uni.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit univariate meta-analysis with metafor — fit_metafor_uni","text":"","code":"# library(tidyverse);library(targets);library(metafor) # source(\"R/functions.R\") # tar_read(round_2_survey_meta_analysis) %>% #   filter(dataset == \"eucalyptus\") %>% #   filter(!is.na(Zr), #          !is.na(VZr), #          !is.infinite(Zr), #          !is.infinite(VZr)) %>% # fit_metafor_uni(Zr = .$Zr, #                      VZr = .$VZr, #                      data = ., #                      slab = .$study_id)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_sorensen_glm.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","title":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","text":"Fit univariate glm deviation scores sorensen diversity index","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_sorensen_glm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","text":"","code":"fit_sorensen_glm(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_sorensen_glm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","text":"data dataframe containing box-cox transformed absolute deviation meta-analytic mean scores","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_sorensen_glm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","text":"fitted model object class glm parsnip","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_sorensen_glm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","text":"","code":"# library(tidyverse);library(targets);library(metafor);library(tidymodels) # tar_load(meta_analysis_outputs) # fit_sorensen_glm(meta_analysis_results$data[[1]])"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_uni_mixed_effects.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","title":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","text":"Fits univariate glm box-cox transformed absolute deviation meta-analytic mean scores function whether analysis mixed effects model \\(.e. included random effects\\) .","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_uni_mixed_effects.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","text":"","code":"fit_uni_mixed_effects(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_uni_mixed_effects.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","text":"data Dataframe containing box-cox transformed absolute deviation scores binary column called mixed_model describing whether analysis used mixed-effects model.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_uni_mixed_effects.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","text":"fitted model object class glm parsnip","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_uni_mixed_effects.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","text":"","code":"# library(tidyverse);library(targets);library(metafor);library(tidymodels) # tar_load(meta_analysis_outputs) # fit_uni_mixed_effects(meta_analysis_results$data[[1]]) # Note: used tidymodels approach for dynamic outcome var selection # base R approach will be more succinct."},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"Generate subsets analyst data based different exclusion criteria","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"","code":"generate_exclusion_subsets(ManyEcoEvo, estimate_type = NULL)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"ManyEcoEvo dataframe estimate_type character vector, one \"Zr\", \"yi\", \"y25\", \"y50\", \"y75\", NULL.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"dataframe grouped dataset exclusion_set contains subsets data diversity_data based exclusion criteria functions defined subset_fns_Zr subset_funs_yi,","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"estimate_type NULL, column estimate_type must ManyEcoEvo.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"function uses functionssubset_fns_Zrand subset_fns_yi create named lists elements containing rlang_lambda_functions, whose element name name rlang_lambda_function run generate_exclusion_subsets()","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate Expertise Data Subsets — generate_expertise_subsets","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"Generate Expertise Data Subsets","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"","code":"generate_expertise_subsets(ManyEcoEvo, expert_subset)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"ManyEcoEvo ManyEcoEvo dataframe containing formatted raw data, formatted diversity_data, estimate_type,  dataset, publishable_subset, exclusion_set. See details. expert_subset dataframe containing column response_id containing response ID's included expert subset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"ManyEcoEvo dataframe added column expertise_subset new subsets data diversity_data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"Note function needs run ManyEcoEvo following functions run (See examples): prepare_response_variables() generate_exclusion_subsets() generate_rating_subsets() generate_rating_subsets() creates expertise subsets based full dataset exclusion_set == \"complete\" publishable_subset == \"\".","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"","code":"library(ManyEcoEvo) library(tidyverse) #> ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── #> ✔ dplyr     1.1.3     ✔ readr     2.1.4 #> ✔ forcats   1.0.0     ✔ stringr   1.5.0 #> ✔ ggplot2   3.4.4     ✔ tibble    3.2.1 #> ✔ lubridate 1.9.2     ✔ tidyr     1.3.0 #> ✔ purrr     1.0.2      #> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── #> ✖ dplyr::filter() masks stats::filter() #> ✖ dplyr::lag()    masks stats::lag() #> ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors library(targets) targets::tar_load(ManyEcoEvo) #> Error: targets data store _targets not found. Utility functions like tar_read() and tar_load() require a pre-existing targets data store (default: _targets/) created by tar_make(), tar_make_clustermq(), or tar_make_future(). Details: https://books.ropensci.org/targets/data.html targets::tar_load(expert_subset) #> Error: targets data store _targets not found. Utility functions like tar_read() and tar_load() require a pre-existing targets data store (default: _targets/) created by tar_make(), tar_make_clustermq(), or tar_make_future(). Details: https://books.ropensci.org/targets/data.html ManyEcoEvo %>% prepare_response_variables(estimate_type = \"Zr\") |> generate_exclusion_subsets(estimate_type = \"Zr\") |> generate_rating_subsets() |> generate_expertise_subsets(expert_subset) #>  #> ── Applying exclusion rules and generating exclusion subsets ─────────────────── #>  #> ── Computing meta-analysis inputsfor estimate type Zr ────────────────────────── #>  #> ── Computing standardised effect sizes `Zr` and variance `VZr` ── #>  #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df 484.0193. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df 666.56874. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df 590.18263. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.006225, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.003996, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df 481. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.09247, #> 3. adjusted_df 316.17526. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.029, #> 3. adjusted_df 366.3. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.042, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.01416305, #> 3. adjusted_df 257.905. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.030382264, #> 3. adjusted_df 2372.82. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.01409, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.008781, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.014853, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.000769, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.033978443, #> 3. adjusted_df 347.4992526. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.01823188, #> 3. adjusted_df 55.44391. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.02039768, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.02496, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.03575, #> 3. adjusted_df NA. #>  #> ── Computing meta-analysis inputsfor estimate type Zr ────────────────────────── #>  #> ── Computing standardised effect sizes `Zr` and variance `VZr` ── #>  #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.29212, #> 3. adjusted_df 21. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.00783099999999999, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.07216, #> 3. adjusted_df 0.560867697. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.57, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.2328, #> 3. adjusted_df 343.24787. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.3188723, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.0059286, #> 3. adjusted_df 1. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.007385, #> 3. adjusted_df 3.5e-25. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.052462, #> 3. adjusted_df 3.5e-25. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.605, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 8.98, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 7.97, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 5.19, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 18.5, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 5.92, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.529, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 2.89, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.605, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.01312667, #> 3. adjusted_df -2.6269353. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.197, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.192, #> 3. adjusted_df 82.703. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.1, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.0048042, #> 3. adjusted_df 341. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.21, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.5756016, #> 3. adjusted_df 3.536992. #> Joining with `by = join_by(id_col, dataset)` #> Joining with `by = join_by(id_col, dataset)` #> Joining with `by = join_by(id_col, dataset)` #> Joining with `by = join_by(id_col, dataset)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Error in mutate(., data = map(.x = data, .f = dplyr::semi_join, expert_subset)): ℹ In argument: `data = map(.x = data, .f = dplyr::semi_join, #>   expert_subset)`. #> ℹ In group 1: `dataset = \"blue tit\"`, `exclusion_set = \"complete\"`, #>   `estimate_type = \"Zr\"`. #> Caused by error in `map()`: #> ℹ In index: 1. #> ℹ With name: subset_complete. #> Caused by error: #> ! object 'expert_subset' not found"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_outlier_subsets.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets","title":"Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets","text":"Removes top outlier yi datasets top 2 bottom 2 outliers Zr datasets","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_outlier_subsets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets","text":"","code":"generate_outlier_subsets(ManyEcoEvo)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_outlier_subsets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets","text":"ManyEcoEvo ManyEcoEvo dataframe containing formatted raw data, formatted diversity_data, estimate_type, dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_outlier_subsets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets","text":"ManyEcoEvo dataframe added column exclusion_set new subsets data diversity_data","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_rating_subsets.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets","title":"Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets","text":"Generates two subsets data based complete partial exclusion datasets yi Zr estimates.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_rating_subsets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets","text":"","code":"generate_rating_subsets(ManyEcoEvo)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_rating_subsets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets","text":"ManyEcoEvo ManyEcoEvo dataframe containing formatted raw data, formatted diversity_data, estimate_type, dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_rating_subsets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets","text":"ManyEcoEvo dataframe added column exclusion_set new subsets data diversity_data","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"Generate subsets --sample predictions data estimate_type multiple analysis datasets.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"","code":"generate_yi_subsets(yi_analysis)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"yi_analysis dataframe containing multiple datasets --sample predictions corresponding diversity data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"datraframe character columns dataset, estimate_type list-cols data diversity_data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"object yi\\_analysis contain character column dataset, list-columns data diversity\\_data. essence, data diversity_data nested dataset. data list-col grouped_dfs, also contain list-col back_transformed_data","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_MA_fit_stats.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract meta-analytic statistics like \\(I^2\\), etc. — get_MA_fit_stats","title":"Extract meta-analytic statistics like \\(I^2\\), etc. — get_MA_fit_stats","text":"Extract meta-analytic statistics like \\(^2\\), etc.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_MA_fit_stats.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract meta-analytic statistics like \\(I^2\\), etc. — get_MA_fit_stats","text":"","code":"get_MA_fit_stats(MA_mod)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_MA_fit_stats.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract meta-analytic statistics like \\(I^2\\), etc. — get_MA_fit_stats","text":"MA_mod fitted model class rma.mv","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_MA_fit_stats.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract meta-analytic statistics like \\(I^2\\), etc. — get_MA_fit_stats","text":"tidy tibble \\(\\sigma^2\\) \\(^2\\) estimates MA_mod","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_diversity_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Diversity Data — get_diversity_data","title":"Get Diversity Data — get_diversity_data","text":"Get Diversity Data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_diversity_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Diversity Data — get_diversity_data","text":"","code":"get_diversity_data(raw_data, dataset, variables = character())"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_diversity_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Diversity Data — get_diversity_data","text":"raw_data  dataset character string either \"eucalyptus\" \"blue tit\" variables character vector length containing names variables get diversity data ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_diversity_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Diversity Data — get_diversity_data","text":"tibble diversity data either 'eucalyptus' 'blue tit' analyses","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_diversity_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get Diversity Data — get_diversity_data","text":"Called prepare_diversity_raw","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/gg_forest.html","id":null,"dir":"Reference","previous_headings":"","what":"Forestplot with ggplot2 — gg_forest","title":"Forestplot with ggplot2 — gg_forest","text":"Forestplot ggplot2","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/gg_forest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Forestplot with ggplot2 — gg_forest","text":"","code":"gg_forest(meta_model, estimate_type, dataset = character(1L))"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/gg_forest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Forestplot with ggplot2 — gg_forest","text":"meta_model Fitted meta-analysis model class rma estimate_type Whether estimate standardized effect size standardised sample prediction. Must one \"Zr\", \"y50\", \"y25\", \"y75\". dataset Character string equal name dataset. One \"blue tit\" \"eucalyptus\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/gg_forest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Forestplot with ggplot2 — gg_forest","text":"object class ggplot2","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/i2_ml.html","id":null,"dir":"Reference","previous_headings":"","what":"i2_ml — i2_ml","title":"i2_ml — i2_ml","text":"I2 (-squared) mulilevel meta-analytic models, based Nakagawa & Santos (2012). multilevel models, can multiple I2 (see also Senior et al. 2016). Alternatively, method proposed Wolfgang Viechtbauer can also used.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/i2_ml.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"i2_ml — i2_ml","text":"","code":"i2_ml(model, method = c(\"ratio\", \"matrix\"), data, boot = NULL)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/i2_ml.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"i2_ml — i2_ml","text":"model Model object class rma.mv rma. Currently model objects using mods argument work (e.g., mod = ~1). method Method used calculate I2. Two options exist: ratio-based calculation proposed Nakagawa & Santos (\"ratio\"), Wolfgang Viechtbauer's matrix method (\"matrix\"). data Data frame used fit model. boot Number simulations run produce 95 percent confidence intervals I2. Default NULL, point estimate provided.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/i2_ml.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"i2_ml — i2_ml","text":"data frame containing model results including mean effect size estimate, confidence, prediction intervals","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/i2_ml.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"i2_ml — i2_ml","text":"Shinichi Nakagawa - s.nakagawa@unsw.edu.au Daniel Noble - daniel.noble@anu.edu.au Elliot Gould - elliot.gould@unimelb.edu.au","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/identity_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with identity-link — identity_back","title":"Back transform beta estimates for models with identity-link — identity_back","text":"Back transform beta estimates models identity-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/identity_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with identity-link — identity_back","text":"","code":"identity_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/identity_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with identity-link — identity_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/identity_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with identity-link — identity_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/inverse_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with $1/x$ link — inverse_back","title":"Back transform beta estimates for models with $1/x$ link — inverse_back","text":"Back transform beta estimates models $1/x$ link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/inverse_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with $1/x$ link — inverse_back","text":"","code":"inverse_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/inverse_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with $1/x$ link — inverse_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/inverse_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with $1/x$ link — inverse_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with log-link — log_back","title":"Back transform beta estimates for models with log-link — log_back","text":"Back transform beta estimates models log-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with log-link — log_back","text":"","code":"log_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with log-link — log_back","text":"beta Analyst beta estimate yi estimate se Standard error analyst's beta estimate yi estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with log-link — log_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_transform.html","id":null,"dir":"Reference","previous_headings":"","what":"log transform response-scale yi estimates — log_transform","title":"log transform response-scale yi estimates — log_transform","text":"log transform response-scale yi estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_transform.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"log transform response-scale yi estimates — log_transform","text":"","code":"log_transform(estimate, std.error, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_transform.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"log transform response-scale yi estimates — log_transform","text":"estimate Point estimates original response scale std.error Standard error point estimates original response scale sim Number simulations run generating distribution sample ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_transform.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"log transform response-scale yi estimates — log_transform","text":"dataframe containing mean_log, std.error_log, lower upper 95% CI log scale","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_transform.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"log transform response-scale yi estimates — log_transform","text":"","code":"log_transform(1.77, 1.01, 1000)  #> ✔ Log-transformed out-of-sample predictions, using 1000 simulations. #>    mean_log std.error_log     lower    upper #> 1 0.4661114     0.7304484 -1.332882 1.314684"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/logit_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with logit-link — logit_back","title":"Back transform beta estimates for models with logit-link — logit_back","text":"Back transform beta estimates models logit-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/logit_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with logit-link — logit_back","text":"","code":"logit_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/logit_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with logit-link — logit_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/logit_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with logit-link — logit_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":null,"dir":"Reference","previous_headings":"","what":"Make paramater table — make_param_table","title":"Make paramater table — make_param_table","text":"make_param_table() calculates mean standard deviation numeric variables dataframe tibble.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make paramater table — make_param_table","text":"","code":"make_param_table(analysis_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make paramater table — make_param_table","text":"analysis_data dataframe tibble.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make paramater table — make_param_table","text":"tibble.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Make paramater table — make_param_table","text":"parameter table used computation Z-values standardisation --sample predictions pred_to_Zr(). make_param_table() returns tidy, long-form tibble variable names analysis_data stored columnvariable, corresponding parameter (\"mean\" \"sd\"), value parameter.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Make paramater table — make_param_table","text":"Currently variable names analysis_data must contain . character used split variable parameter pivot_longer()","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make paramater table — make_param_table","text":"","code":"make_param_table(ManyEcoEvo::blue_tit_data) #> # A tibble: 34 × 3 #>    variable            parameter      value #>    <chr>               <chr>          <dbl> #>  1 hatch_year          mean        2002.    #>  2 hatch_year          sd             0.787 #>  3 hatch_nest_breed_ID mean      202139.    #>  4 hatch_nest_breed_ID sd           769.    #>  5 hatch_nest_OH       mean          41.7   #>  6 hatch_nest_OH       sd             8.54  #>  7 rear_nest_breed_ID  mean      202140.    #>  8 rear_nest_breed_ID  sd           771.    #>  9 rear_nest_trt       mean           5.78  #> 10 rear_nest_trt       sd             0.816 #> # ℹ 24 more rows make_param_table(ManyEcoEvo::euc_data) #> # A tibble: 74 × 3 #>    variable                parameter      value #>    <chr>                   <chr>          <dbl> #>  1 Quadrat no              mean            4.07 #>  2 Quadrat no              sd              2.37 #>  3 Easting                 mean       374341.   #>  4 Easting                 sd          24426.   #>  5 Northing                mean      5934936.   #>  6 Northing                sd          39485.   #>  7 ExoticAnnualGrass_cover mean           12.4  #>  8 ExoticAnnualGrass_cover sd             15.3  #>  9 ExoticAnnualHerb_cover  mean            7.89 #> 10 ExoticAnnualHerb_cover  sd             11.6  #> # ℹ 64 more rows"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_viz.html","id":null,"dir":"Reference","previous_headings":"","what":"Make visualisations wrapper function — make_viz","title":"Make visualisations wrapper function — make_viz","text":"Computes model summaries, tidy model summaries, model fit stats, funnel plots forest plots dataframe multiple fitted models","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_viz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make visualisations wrapper function — make_viz","text":"","code":"make_viz(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_viz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make visualisations wrapper function — make_viz","text":"data nested dataframe processed standardised data stored list-column data, grouped variables exclusion_set, dataset, estimate_type","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_viz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make visualisations wrapper function — make_viz","text":"nested dataframe grouped variables exclusion_set, dataset, estimate_type,","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/meta_analyse_datasets.html","id":null,"dir":"Reference","previous_headings":"","what":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","title":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","text":"Runs meta-analyses regression models ManyEcoEvo project analysis, including: Fitting univariate / fixed-effects meta-analysis Calculating deviation every effect size / point-estimate meta-analytic mean data subsetes absolute, box-cox transformed deviation scores univariate GLM regression transformed deviation scores sorensen diversity indices univariate GLM regression transformed deviation scores continuous peer-review ratings univariate GLM regression transformed deviation scores categorical peer-review ratings univariate GLM regression transformed deviation scores binary variable corresponding whether analysis mixed-effects model (.e. GLM random-effects) . implemented: multivariate regression #TODO deviation scores transformed categorical ratings intercept (nice plotting / ecploration).","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/meta_analyse_datasets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","text":"","code":"meta_analyse_datasets(MA_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/meta_analyse_datasets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","text":"MA_data nested-dataframe grouped dataset / exclusion_set, estimate_type, containing list-column prepared analyst subset data effects_analysis ready meta-analysis.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/meta_analyse_datasets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","text":"nested dataframe columns object parsed arg MA_data, additional columns results analysis: MA_mod, sorensen_glm, box_cox_ratings_cont, box_cox_ratings_cat, box_cox_rating_cat_no_int, uni_mixed_effects","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/meta_analyse_datasets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","text":"","code":"# meta_analyse_datasets(targets::tar_read(round_2_survey_meta_analysis))   # remove_problematic_responses <-    #   preprocessed_dataset %>%    #   dplyr::filter(dataset == \"eucalyptus\",   #          (max(VZr, na.rm = TRUE) == VZr)) TODO, do we need to include now that INF's removed?"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":null,"dir":"Reference","previous_headings":"","what":"Split data frame by groups and name elements — named_group_split","title":"Split data frame by groups and name elements — named_group_split","text":"Split data frame groups name elements","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split data frame by groups and name elements — named_group_split","text":"","code":"named_group_split(.data, grouping_variable)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split data frame by groups and name elements — named_group_split","text":".data tbl. grouping_variable Unquoted variable name group columns ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split data frame by groups and name elements — named_group_split","text":"named list tibbles. tibble contains rows .tbl associated group columns, including grouping variables. Note returns list_of slightly stricter simple list useful representing lists every element type.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Split data frame by groups and name elements — named_group_split","text":"Function fail character string provided grouping_variable instead bare variable name.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split data frame by groups and name elements — named_group_split","text":"","code":"named_group_split(ManyEcoEvo::euc_data , Property) #> $Barlow #> # A tibble: 18 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 1        2006-07-24 Winter 2006            1  310042  5934571 nne    #>  2 2        2006-07-24 Winter 2006            2  310087  5934567 ne     #>  3 3        2006-07-24 Winter 2006            3  310240  5934699 se     #>  4 4        2006-07-24 Winter 2006            4  309998  5934968 0      #>  5 5        2006-07-24 Winter 2006            5  309958  5934752 0      #>  6 6        2006-07-24 Winter 2006            6  310137  5934765 0      #>  7 118      2006-11-10 Spring 2006            1  310059  5935151 e      #>  8 119      2006-11-10 Spring 2006            2  310272  5935064 0      #>  9 120      2006-11-10 Spring 2006            3  310195  5935288 n      #> 10 121      2006-11-10 Spring 2006            4  310218  5934982 ne     #> 11 122      2006-11-10 Spring 2006            5  310034  5934700 e      #> 12 123      2006-11-10 Spring 2006            6  309996  5934758 n      #> 13 235      2007-04-19 Autumn 2007            1  310163  5935181 e      #> 14 236      2007-04-19 Autumn 2007            2  310038  5935014 s      #> 15 237      2007-04-19 Autumn 2007            3  310122  5934637 0      #> 16 238      2007-04-19 Autumn 2007            4  310161  5934480 0      #> 17 239      2007-04-19 Autumn 2007            5  310266  5934597 se     #> 18 240      2007-04-19 Autumn 2007            6  310280  5935010 0      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Blaber #> # A tibble: 15 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 7        2006-07-25 Winter 2006            1  386643  5936462 e      #>  2 8        2006-07-25 Winter 2006            2  386736  5936384 e      #>  3 9        2006-07-25 Winter 2006            3  386732  5936315 e      #>  4 10       2006-07-25 Winter 2006            4  386633  5936324 e      #>  5 11       2006-07-25 Winter 2006            5  386896  5936282 e      #>  6 124      2006-11-14 Spring 2006            1  387003  5936393 e      #>  7 125      2006-11-14 Spring 2006            2  386476  5936219 e      #>  8 126      2006-11-14 Spring 2006            3  386827  5936476 e      #>  9 127      2006-11-14 Spring 2006            4  386616  5936267 e      #> 10 128      2006-11-14 Spring 2006            5  386709  5936234 e      #> 11 241      2007-04-17 Autumn 2007            1  386272  5936457 e      #> 12 242      2007-04-17 Autumn 2007            2  387031  5936429 e      #> 13 243      2007-04-17 Autumn 2007            3  386358  5936349 e      #> 14 244      2007-04-17 Autumn 2007            4  386353  5936444 e      #> 15 245      2007-04-17 Autumn 2007            5  386675  5936398 e      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $DClark #> # A tibble: 18 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 12       2006-07-19 Winter 2006            1  380890  5959540 se     #>  2 13       2006-07-19 Winter 2006            2  380734  5959474 s      #>  3 14       2006-07-19 Winter 2006            3  381469  5959397 e      #>  4 15       2006-07-19 Winter 2006            4  381024  5959384 s      #>  5 16       2006-07-19 Winter 2006            5  380890  5959591 se     #>  6 17       2006-07-19 Winter 2006            6  381203  5959676 e      #>  7 129      2006-11-14 Spring 2006            1  380818  5959432 nw     #>  8 130      2006-11-14 Spring 2006            2  381282  5959592 s      #>  9 131      2006-11-14 Spring 2006            3  381475  5959610 e      #> 10 132      2006-11-14 Spring 2006            4  381423  5959607 e      #> 11 133      2006-11-14 Spring 2006            5  381170  5959382 s      #> 12 134      2006-11-14 Spring 2006            6  381127  5959717 e      #> 13 246      2007-04-17 Autumn 2007            1  381391  5959468 s      #> 14 247      2007-04-17 Autumn 2007            2  380947  5959427 0      #> 15 248      2007-04-17 Autumn 2007            3  381324  5959557 0      #> 16 249      2007-04-17 Autumn 2007            4  380756  5959400 e      #> 17 250      2007-04-17 Autumn 2007            5  381203  5959726 s      #> 18 251      2007-04-17 Autumn 2007            6  381236  5959842 e      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Gough #> # A tibble: 27 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 18       2006-07-26 Winter 2006            1  358873  5921525 0      #>  2 19       2006-07-26 Winter 2006            2  359203  5921862 0      #>  3 20       2006-07-26 Winter 2006            3  358793  5921874 se     #>  4 21       2006-07-26 Winter 2006            4  358452  5921673 n      #>  5 22       2006-07-26 Winter 2006            5  359497  5922192 s      #>  6 23       2006-07-26 Winter 2006            6  359480  5955191 n      #>  7 24       2006-07-26 Winter 2006            7  359428  5921795 s      #>  8 25       2006-07-26 Winter 2006            8  358742  5921709 s      #>  9 26       2006-07-26 Winter 2006            9  359198  5921949 s      #> 10 135      2006-11-04 Spring 2006            1  358522  5921752 s      #> # ℹ 17 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Green #> # A tibble: 12 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 27       2006-07-27 Winter 2006            1  360032  5871750 n      #>  2 28       2006-07-27 Winter 2006            2  359983  5871719 n      #>  3 29       2006-07-27 Winter 2006            3  360061  5871604 e      #>  4 30       2006-07-27 Winter 2006            4  359779  5871566 e      #>  5 144      2006-12-07 Spring 2006            1  359810  5871505 w      #>  6 145      2006-12-07 Spring 2006            2  359692  5871634 n      #>  7 146      2006-12-07 Spring 2006            3  359865  5871733 s      #>  8 147      2006-12-07 Spring 2006            4  359972  5871655 w      #>  9 261      2007-05-09 Autumn 2007            1  359972  5871635 n      #> 10 262      2007-05-09 Autumn 2007            2  359924  5871773 n      #> 11 263      2007-05-09 Autumn 2007            3  359869  5871765 n      #> 12 264      2007-05-09 Autumn 2007            4  359715  5871694 e      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Hawkey #> # A tibble: 12 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 31       2006-07-25 Winter 2006            1  330170  6010619 0      #>  2 32       2006-07-25 Winter 2006            2  330187  6010583 0      #>  3 33       2006-07-25 Winter 2006            3  330110  6010544 0      #>  4 34       2006-07-25 Winter 2006            4  330200  6010497 0      #>  5 148      2006-11-10 Spring 2006            1  330118  6010800 0      #>  6 149      2006-11-10 Spring 2006            2  330540  6010844 0      #>  7 150      2006-11-10 Spring 2006            3  330210  6010800 0      #>  8 151      2006-11-10 Spring 2006            4  330125  6010555 0      #>  9 265      2007-04-18 Autumn 2007            1  330074  6010835 0      #> 10 266      2007-04-18 Autumn 2007            2  330228  6010621 0      #> 11 267      2007-04-18 Autumn 2007            3  330258  6010626 0      #> 12 268      2007-04-18 Autumn 2007            4  330133  6010679 0      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $JClark #> # A tibble: 21 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 35       2006-07-26 Winter 2006            1  367739  5821489 sw     #>  2 36       2006-07-26 Winter 2006            2  368058  5872589 w      #>  3 37       2006-07-26 Winter 2006            3  368143  5872626 s      #>  4 38       2006-07-26 Winter 2006            4  368131  5872189 s      #>  5 39       2006-07-26 Winter 2006            5  367696  5872366 nw     #>  6 40       2006-07-26 Winter 2006            6  368650  5872203 w      #>  7 41       2006-07-26 Winter 2006            7  368188  5872013 se     #>  8 152      2006-12-07 Spring 2006            1  367727  5872320 s      #>  9 153      2006-12-07 Spring 2006            2  367851  5872147 nw     #> 10 154      2006-12-07 Spring 2006            3  367744  5871824 w      #> # ℹ 11 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Kellock #> # A tibble: 27 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 42       2006-07-26 Winter 2006            1  409176  5987415 n      #>  2 43       2006-07-25 Winter 2006            2  409242  5987228 s      #>  3 44       2006-07-25 Winter 2006            3  408941  5987483 e      #>  4 45       2006-07-26 Winter 2006            4  409111  5987866 s      #>  5 46       2006-07-25 Winter 2006            5  409489  5987803 0      #>  6 47       2006-07-25 Winter 2006            6  408888  5987382 se     #>  7 48       2006-07-25 Winter 2006            7  409174  5987798 s      #>  8 49       2006-07-25 Winter 2006            8  408864  5987984 w      #>  9 50       2006-07-25 Winter 2006            9  409135  5987761 ne     #> 10 159      2006-11-10 Spring 2006            1  408962  5987848 w      #> # ℹ 17 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Martin #> # A tibble: 33 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 51       2006-07-20 Winter 2006            1  387782  5968745 e      #>  2 52       2006-07-20 Winter 2006            2  388746  5967248 0      #>  3 53       2006-07-20 Winter 2006            3  388765  5956890 ne     #>  4 54       2006-07-20 Winter 2006            4  388358  5956799 0      #>  5 55       2006-07-20 Winter 2006            5  388477  5956640 0      #>  6 56       2006-07-20 Winter 2006            6  388029  5956943 0      #>  7 57       2006-07-20 Winter 2006            7  388341  5956084 0      #>  8 58       2006-07-20 Winter 2006            8  388423  5956006 se     #>  9 59       2006-07-20 Winter 2006            9  388452  5971319 0      #> 10 60       2006-07-20 Winter 2006           10  388732  5960630 0      #> # ℹ 23 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $McCracken #> # A tibble: 24 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 62       2006-07-18 Winter 2006            1  358110  5957069 0      #>  2 63       2006-07-18 Winter 2006            2  358317  5957468 0      #>  3 64       2006-07-18 Winter 2006            3  357720  5957153 0      #>  4 65       2006-07-18 Winter 2006            4  358331  5957240 0      #>  5 66       2006-07-18 Winter 2006            5  358632  5957291 0      #>  6 67       2006-07-18 Winter 2006            6  358145  5957383 0      #>  7 68       2006-07-18 Winter 2006            7  358137  5957448 0      #>  8 69       2006-07-18 Winter 2006            8  358289  5956904 0      #>  9 179      2006-11-11 Spring 2006            1  358300  5956890 0      #> 10 180      2006-11-11 Spring 2006            2  358234  5957048 0      #> # ℹ 14 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Olive #> # A tibble: 15 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 70       2006-07-27 Winter 2006            1  377590  5876368 0      #>  2 71       2006-07-27 Winter 2006            2  377744  5976421 e      #>  3 72       2006-07-27 Winter 2006            3  377219  5876496 s      #>  4 73       2006-07-27 Winter 2006            4  377015  5876440 e      #>  5 74       2006-07-27 Winter 2006            5  377790  5876366 e      #>  6 187      2006-12-06 Spring 2006            1  377201  5876434 s      #>  7 188      2006-12-06 Spring 2006            2  377301  5876368 s      #>  8 189      2006-12-06 Spring 2006            3  377707  5876436 s      #>  9 190      2006-12-06 Spring 2006            4  377587  5876420 n      #> 10 191      2006-12-06 Spring 2006            5  377862  5876384 0      #> 11 304      2007-05-08 Autumn 2007            1  377394  5876407 n      #> 12 305      2007-05-08 Autumn 2007            2  377181  5876421 n      #> 13 306      2007-05-08 Autumn 2007            3  377259  5876280 e      #> 14 307      2007-05-08 Autumn 2007            4  377951  5876374 e      #> 15 308      2007-05-08 Autumn 2007            5  377623  5876345 0      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Rokahr #> # A tibble: 21 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 75       2006-07-25 Winter 2006            1  387771  5985347 0      #>  2 76       2006-07-25 Winter 2006            2  388366  5985356 0      #>  3 77       2006-07-25 Winter 2006            3  387809  5985141 0      #>  4 78       2006-07-25 Winter 2006            4  387671  5984967 0      #>  5 79       2006-07-25 Winter 2006            5  387695  5985380 0      #>  6 80       2006-07-25 Winter 2006            6  387753  5985068 0      #>  7 81       2006-07-25 Winter 2006            7  388043  5985088 0      #>  8 192      2006-11-10 Spring 2006            1  387721  5985370 0      #>  9 193      2006-11-10 Spring 2006            2  388091  5985252 0      #> 10 194      2006-11-10 Spring 2006            3  387748  5985167 0      #> # ℹ 11 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Sharrock #> # A tibble: 12 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 82       2006-07-19 Winter 2006            1  383318  5955469 nw     #>  2 83       2006-07-19 Winter 2006            2  383400  5955169 w      #>  3 84       2006-07-19 Winter 2006            3  383228  5955360 s      #>  4 85       2006-07-19 Winter 2006            4  383368  5955220 w      #>  5 199      2006-11-14 Spring 2006            1  383259  5955400 w      #>  6 200      2006-11-14 Spring 2006            2  383454  5955569 w      #>  7 201      2006-11-14 Spring 2006            3  383340  5955291 nw     #>  8 202      2006-11-14 Spring 2006            4  383247  5955254 nw     #>  9 316      2007-04-17 Autumn 2007            1  383431  5955513 w      #> 10 317      2007-04-17 Autumn 2007            2  383359  5955547 0      #> 11 318      2007-04-17 Autumn 2007            3  383463  5955256 0      #> 12 319      2007-04-17 Autumn 2007            4  383492  5955228 s      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Staff #> # A tibble: 27 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 86       2006-07-27 Winter 2006            1  385708  5939744 nw     #>  2 87       2006-07-27 Winter 2006            2  386193  5939749 s      #>  3 88       2006-07-27 Winter 2006            3  385599  5939313 0      #>  4 89       2006-07-27 Winter 2006            4  385701  5939171 sw     #>  5 90       2006-07-27 Winter 2006            5  386179  5939590 n      #>  6 91       2006-07-27 Winter 2006            6  386037  5939836 n      #>  7 92       2006-07-27 Winter 2006            7  385604  5939140 e      #>  8 93       2006-07-27 Winter 2006            8  385700  5939655 s      #>  9 94       2006-07-27 Winter 2006            9  385991  5939583 n      #> 10 203      2006-11-15 Spring 2006            1  386235  5939864 nw     #> # ℹ 17 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Stoney #> # A tibble: 21 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 95       2006-07-27 Winter 2006            1  410529  5895093 e      #>  2 96       2006-07-27 Winter 2006            2  410683  5895072 e      #>  3 97       2006-07-27 Winter 2006            3  410440  5895054 ne     #>  4 98       2006-07-27 Winter 2006            4  410545  5895038 e      #>  5 99       2006-07-27 Winter 2006            5  410374  5895094 se     #>  6 100      2006-07-27 Winter 2006            6  410210  5895023 e      #>  7 101      2006-07-27 Winter 2006            7  410284  5895820 ne     #>  8 212      2006-12-08 Spring 2006            1  410616  5899138 e      #>  9 213      2006-12-08 Spring 2006            2  410623  5899408 e      #> 10 214      2006-12-08 Spring 2006            3  410572  5898758 e      #> # ℹ 11 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Taylor #> # A tibble: 15 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 102      2006-07-24 Winter 2006            1  389720  5954557 0      #>  2 103      2006-07-24 Winter 2006            2  378805  5954456 0      #>  3 104      2006-07-24 Winter 2006            3  389669  5954833 0      #>  4 105      2006-07-24 Winter 2006            4  389746  5954624 0      #>  5 106      2006-07-24 Winter 2006            5  389635  5954910 0      #>  6 219      2006-10-14 Spring 2006            1  389718  5954830 0      #>  7 220      2006-10-14 Spring 2006            2  389698  5954770 0      #>  8 221      2006-10-14 Spring 2006            3  389775  5954594 0      #>  9 222      2006-10-14 Spring 2006            4  389817  5954875 0      #> 10 223      2006-10-14 Spring 2006            5  389750  5954882 0      #> 11 336      2007-04-16 Autumn 2007            4  389851  5954634 0      #> 12 337      2007-04-16 Autumn 2007            1  389643  5954703 0      #> 13 338      2007-04-16 Autumn 2007            2  389653  5954793 0      #> 14 339      2007-04-16 Autumn 2007            3  389607  5954928 0      #> 15 340      2007-04-16 Autumn 2007            5  389854  5954441 0      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Wakefield #> # A tibble: 12 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 107      2006-07-27 Winter 2006            1  348307  5874042 nw     #>  2 108      2006-07-27 Winter 2006            2  348206  5874084 s      #>  3 109      2006-07-27 Winter 2006            3  348532  5874001 nw     #>  4 110      2006-07-27 Winter 2006            4  348165  5874028 s      #>  5 224      2006-12-07 Spring 2006            1  348305  5873844 s      #>  6 225      2006-12-07 Spring 2006            2  348562  5874018 n      #>  7 226      2006-12-07 Spring 2006            3  348253  5879750 s      #>  8 227      2006-12-07 Spring 2006            4  348391  5873773 s      #>  9 341      2007-05-09 Autumn 2007            1  348451  5873910 se     #> 10 342      2007-05-09 Autumn 2007            2  348442  5873883 s      #> 11 343      2007-05-09 Autumn 2007            3  348251  5873900 0      #> 12 344      2007-05-09 Autumn 2007            4  348188  5873921 s      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Yorston #> # A tibble: 21 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 111      2006-07-26 Winter 2006            1  359010  5894495 nw     #>  2 112      2006-07-26 Winter 2006            2  359018  5894606 nw     #>  3 113      2006-07-26 Winter 2006            3  358205  5895793 s      #>  4 114      2006-07-26 Winter 2006            4  358932  5894600 nw     #>  5 115      2006-07-26 Winter 2006            5  358861  5894634 w      #>  6 116      2006-07-26 Winter 2006            6  358074  5895284 s      #>  7 117      2006-07-26 Winter 2006            7  357961  5895704 ne     #>  8 228      2006-11-17 Spring 2006            1  358010  5895886 w      #>  9 229      2006-11-17 Spring 2006            2  358179  5895876 w      #> 10 230      2006-11-17 Spring 2006            3  358917  5894850 w      #> # ℹ 11 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  named_group_split(ManyEcoEvo::blue_tit_data, hatch_Area) #> $B #> # A tibble: 726 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804103                 2001              201123 B100      .              #>  2 P804104                 2001              201123 B100      .              #>  3 P804106                 2001              201123 B100      .              #>  4 P804107                 2001              201123 B100      .              #>  5 P804108                 2001              201123 B100      .              #>  6 P804110                 2001              201123 B100      .              #>  7 P804112                 2001              201123 B100      .              #>  8 P804115                 2001              201123 B100      .              #>  9 P804117                 2001              201123 B100      .              #> 10 P804118                 2001              201123 B100      .              #> # ℹ 716 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $C #> # A tibble: 577 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804016                 2001              201194 C130      P803008        #>  2 P804017                 2001              201194 C130      P803008        #>  3 P804018                 2001              201167 C26       P803005        #>  4 P804019                 2001              201194 C130      P803008        #>  5 P804020                 2001              201167 C26       P803005        #>  6 P804021                 2001              201194 C130      P803008        #>  7 P804022                 2001              201194 C130      P803008        #>  8 P804023                 2001              201194 C130      P803008        #>  9 P804024                 2001              201167 C26       P803005        #> 10 P804025                 2001              201194 C130      P803008        #> # ℹ 567 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $CP #> # A tibble: 229 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804196                 2001              201225 CP40A     P803102        #>  2 P804197                 2001              201225 CP40A     P803102        #>  3 P804198                 2001              201225 CP40A     P803102        #>  4 P804199                 2001              201225 CP40A     P803102        #>  5 P804456                 2001              201225 CP40A     P803102        #>  6 P804457                 2001              201225 CP40A     P803102        #>  7 P804458                 2001              201225 CP40A     P803102        #>  8 P804459                 2001              201225 CP40A     P803102        #>  9 P804463                 2001              201225 CP40A     P803102        #> 10 P804464                 2001              201225 CP40A     P803102        #> # ℹ 219 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $E #> # A tibble: 333 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804180                 2001              201260 E51B      P803087        #>  2 P804186                 2001              201260 E51B      P803087        #>  3 P804189                 2001              201260 E51B      P803087        #>  4 P804190                 2001              201260 E51B      P803087        #>  5 P804192                 2001              201260 E51B      P803087        #>  6 P804548                 2001              201227 E3        K578406        #>  7 P804549                 2001              201227 E3        K578406        #>  8 P804550                 2001              201227 E3        K578406        #>  9 P804552                 2001              201227 E3        K578406        #> 10 P804553                 2001              201227 E3        K578406        #> # ℹ 323 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $MP #> # A tibble: 375 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804101                 2001              201288 MP55      P803016        #>  2 P804102                 2001              201288 MP55      P803016        #>  3 P804105                 2001              201288 MP55      P803016        #>  4 P804109                 2001              201288 MP55      P803016        #>  5 P804111                 2001              201288 MP55      P803016        #>  6 P804113                 2001              201288 MP55      P803016        #>  7 P804114                 2001              201288 MP55      P803016        #>  8 P804116                 2001              201288 MP55      P803016        #>  9 P804119                 2001              201288 MP55      P803016        #> 10 P804121                 2001              201288 MP55      P803016        #> # ℹ 365 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $O #> # A tibble: 600 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804142                 2001              201319 O27       P803035        #>  2 P804143                 2001              201319 O27       P803035        #>  3 P804144                 2001              201319 O27       P803035        #>  4 P804145                 2001              201319 O27       P803035        #>  5 P804146                 2001              201319 O27       P803035        #>  6 P804181                 2001              201325 O38B      .              #>  7 P804183                 2001              201325 O38B      .              #>  8 P804184                 2001              201325 O38B      .              #>  9 P804185                 2001              201325 O38B      .              #> 10 P804187                 2001              201325 O38B      .              #> # ℹ 590 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $P #> # A tibble: 91 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P805234                 2001              201364 P24       P803249        #>  2 P805235                 2001              201364 P24       P803249        #>  3 P805236                 2001              201364 P24       P803249        #>  4 P805240                 2001              201364 P24       P803249        #>  5 P805241                 2001              201364 P24       P803249        #>  6 P805242                 2001              201364 P24       P803249        #>  7 P805875                 2001              201360 P10       P803358        #>  8 P805876                 2001              201360 P10       P803358        #>  9 P805878                 2001              201360 P10       P803358        #> 10 P805910                 2001              201357 P3        P803362        #> # ℹ 81 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $SW #> # A tibble: 405 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804149                 2001              201393 SW113     P803040        #>  2 P804151                 2001              201393 SW113     P803040        #>  3 P804152                 2001              201393 SW113     P803040        #>  4 P804257                 2001              201397 SW128     P803048        #>  5 P804258                 2001              201397 SW128     P803048        #>  6 P804259                 2001              201397 SW128     P803048        #>  7 P804260                 2001              201397 SW128     P803048        #>  8 P804261                 2001              201397 SW128     P803048        #>  9 P804262                 2001              201397 SW128     P803048        #> 10 P804263                 2001              201397 SW128     P803048        #> # ℹ 395 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $W #> # A tibble: 384 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804042                 2001              201419 W47       .              #>  2 P804043                 2001              201417 W43       P803018        #>  3 P804044                 2001              201417 W43       P803018        #>  4 P804045                 2001              201417 W43       P803018        #>  5 P804046                 2001              201419 W47       .              #>  6 P804047                 2001              201419 W47       .              #>  7 P804048                 2001              201419 W47       .              #>  8 P804178                 2001              201414 W37       P803056        #>  9 P804179                 2001              201414 W37       P803056        #> 10 P804193                 2001              201428 W60       P803080        #> # ℹ 374 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pipe.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pipe operator — %>%","text":"lhs value magrittr placeholder. rhs function call using magrittr semantics.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pipe.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pipe operator — %>%","text":"result calling rhs(lhs).","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_cont_rating_effects.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","title":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","text":"Plot Marginal Effects Numeric Rating Model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_cont_rating_effects.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","text":"","code":"plot_cont_rating_effects(   df = data.frame(),   response = character(),   predictor = character(),   group = NULL,   plot = TRUE,   back_transform = FALSE )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_cont_rating_effects.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","text":"df Dataframe column 'abs_deviation_score_estimate', 'lambda' predictor, response columns response character vector naming response variable column df predictor character vector naming predictor variable column df group optional character vector naming random effect / grouping variable column df plot logical indicating whether plot rendered interactively , defaults TRUE back_transform logical indicating whether response variable back-transformed box-cox transformed scale absolute deviation scores","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_cont_rating_effects.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","text":"list, first element containing fitted statistical model second element containing plot","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_cont_rating_effects.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","text":"","code":"# ManyEcoEvo_results$effects_analysis[[1]] %>% #TODO use package data object instead of targets object # unnest(review_data) %>%  #   plot_cont_rating_effects(response = \"box_cox_abs_deviation_score_estimate\",  #                            predictor = \"RateAnalysis\",  #                            group = \"ReviewerId\",  #                            back_transform = TRUE) %>%  #   pluck(2) + #   ggforce::facet_zoom(xlim = c(0,100), ylim = c(0,0.55)) + #   ggpubr::theme_pubclean() + #   ggplot2::xlab(\"Rating\") + #   ggplot2::ylab(\"Deviation In Effect Size from Analytic Mean\")"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html","id":null,"dir":"Reference","previous_headings":"","what":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","title":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","text":"Marginal Effects Plot Diversity Index Model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","text":"","code":"plot_effects_diversity(mod, df, back_transform = FALSE)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","text":"mod fitted model class 'lm' df dataframe columns, lambda, abs_deviation_score_estimate, box_cox_abs_deviation_score_estimate, mean_diversity_index back_transform logical, back-transform box-cox transformed absolute deviation scores ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","text":"ggplot original data,  predicted values confidence values fitted model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","text":"","code":"#targets::tar_load(ManyEcoEvo_results) #TODO change this to package data #library(tidyverse) #plot_effects_diversity(mod = ManyEcoEvo_results$sorensen_glm[[5]],  #df = ManyEcoEvo_results$effects_analysis[[5]] %>% #dat #select(mean_diversity_index, study_id,  #          starts_with(\"box_cox\"),  #                   starts_with(\"abs_dev\"), #                            lambda),  #                            back_transform = TRUE)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/power_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with power-link — power_back","title":"Back transform beta estimates for models with power-link — power_back","text":"Back transform beta estimates models power-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/power_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with power-link — power_back","text":"","code":"power_back(beta, se, sim, n)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/power_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with power-link — power_back","text":"beta Analyst beta estimate. Numeric vector length 1. se Standard error analyst's beta estimate. Numeric vector length 1. sim Number simulations. Numeric vector length 1. n Numeric vector length 1 describing power values raised transformation.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/power_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with power-link — power_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pred_to_Z.html","id":null,"dir":"Reference","previous_headings":"","what":"Standardize Out-Of-Sample Predictions — pred_to_Z","title":"Standardize Out-Of-Sample Predictions — pred_to_Z","text":"Standardizes --sample predictions computing Fisher's Z transformed Correlation Coefficient analysts' --sample prediction estimates corresponding standard error.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pred_to_Z.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standardize Out-Of-Sample Predictions — pred_to_Z","text":"","code":"pred_to_Z(back_transformed_data, params, dataset)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pred_to_Z.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standardize Out-Of-Sample Predictions — pred_to_Z","text":"back_transformed_data dataframe tibble columns \"estimate\" \"se.fit\", containing yi SE\\(yi\\) values respectively response_variable_name character vector","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pred_to_Z.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Standardize Out-Of-Sample Predictions — pred_to_Z","text":"pred_to_Z expects estimates response scale, link scale.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo","title":"Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo","text":"Prepare ManyEcoEvo raw dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo","text":"","code":"prepare_ManyEcoEvo(master_data_raw, master_raw_metadata, all_review_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo","text":"master_data_raw Raw data eucalyptus blue tit analyses master_raw_metadata Metadata describing master_data_raw all_review_data Review data datasets contained master_data_raw, generated prepare_review_data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo","text":"tibble ManyEcoEvo analyst response data effect-sizes ($Z_r$).","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo_yi.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare ManyEcoEvo raw dataset for out-of-sample predictions — prepare_ManyEcoEvo_yi","title":"Prepare ManyEcoEvo raw dataset for out-of-sample predictions — prepare_ManyEcoEvo_yi","text":"Prepare ManyEcoEvo raw dataset --sample predictions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo_yi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare ManyEcoEvo raw dataset for out-of-sample predictions — prepare_ManyEcoEvo_yi","text":"","code":"prepare_ManyEcoEvo_yi(   master_data_raw,   master_raw_metadata,   all_prediction_data )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo_yi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare ManyEcoEvo raw dataset for out-of-sample predictions — prepare_ManyEcoEvo_yi","text":"master_data_raw Raw data eucalyptus blue tit analyses master_raw_metadata Metadata describing master_data_raw all_prediction_data Prediction data datasets contained tibble all_review_data Review data datasets contained master_data_raw, generated prepare_review_data. ManyEcoEvo ManyEcoEvo data generated prepare_ManyEcoEvo","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo_yi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare ManyEcoEvo raw dataset for out-of-sample predictions — prepare_ManyEcoEvo_yi","text":"tibble ManyEcoEvo analyst response data --sample predictions ($y_i$).","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_diversity_raw.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare diversity index data — prepare_diversity_raw","title":"Prepare diversity index data — prepare_diversity_raw","text":"Prepares data required calculating Sorensen diversity indices across analyses. \\(Non-targets function\\)","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_diversity_raw.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare diversity index data — prepare_diversity_raw","text":"","code":"prepare_diversity_raw(master_data_raw, master_raw_metadata)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_diversity_raw.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare diversity index data — prepare_diversity_raw","text":"master_data_raw Raw dataset eucalyptus blue tit data master_raw_metadata Metadata describing variable names master_data_raw","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_diversity_raw.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare diversity index data — prepare_diversity_raw","text":"tibble raw diversity index data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","title":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","text":"Prepare response variable data nested ManyEcoEvo dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","text":"","code":"prepare_response_variables(   ManyEcoEvo,   estimate_type = character(1L),   param_table = NULL )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","text":"ManyEcoEvo Complete ManyEcoEvo dataset containing nested datasets different analysis exclusion set dataset estimate_type character string length 1, equal either \"Zr\", \"yi\", \"y25\", \"y50\", \"y75\", indicating type estimates prepared. param_table table parameters \\(mean, sd\\) response variables used analysts. tibble pulled named object exported ManyEcoEvo::. can overwritten users's param_table dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","text":"tibble nested list-columns","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","text":"Operates nested list-columns data","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables_yi.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","title":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","text":"Prepare response variable data nested ManyEcoEvo dataset - sample predictions ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables_yi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","text":"","code":"prepare_response_variables_yi(   ManyEcoEvo,   estimate_type = character(1L),   param_table = NULL )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables_yi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","text":"ManyEcoEvo Complete ManyEcoEvo dataset containing nested datasets different analysis exclusion set dataset estimate_type character string length 1, equal either \"yi\", \"y25\", \"y50\", \"y75\", indicating type estimates prepared. param_table table parameters \\(mean, sd\\) response variables used analysts. tibble pulled named object exported ManyEcoEvo::. can overwritten users's param_table dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables_yi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","text":"tibble nested list-columns","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables_yi.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","text":"Operates nested list-columns data","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_review_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare peer-review data from Qualtrics — prepare_review_data","title":"Prepare peer-review data from Qualtrics — prepare_review_data","text":"Prepare peer-review data Qualtrics","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_review_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare peer-review data from Qualtrics — prepare_review_data","text":"","code":"prepare_review_data(bt_reviews, euc_reviews)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_review_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare peer-review data from Qualtrics — prepare_review_data","text":"bt_reviews Blue tit review euc_reviews","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_review_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare peer-review data from Qualtrics — prepare_review_data","text":"tibble peer-review data blue tit eucalyptus analyses","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_prediction_files.html","id":null,"dir":"Reference","previous_headings":"","what":"Preprocess Prediction Files — preprocess_prediction_files","title":"Preprocess Prediction Files — preprocess_prediction_files","text":"Preprocess Prediction Files","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_prediction_files.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Preprocess Prediction Files — preprocess_prediction_files","text":"","code":"preprocess_prediction_files(predictions_validation, all_surveys)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_prediction_files.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Preprocess Prediction Files — preprocess_prediction_files","text":"predictions_validation dataframe containing outputs pointblank validation multiple sample prediction files all_surveys tibble analyst-data datasets","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_prediction_files.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Preprocess Prediction Files — preprocess_prediction_files","text":"pointblank check columns nested list-column checks, submission_id computed question, new_names replacement column names given new_names, filepath appended \"data-raw/analyst_data/S2\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_updated_prediction_files.html","id":null,"dir":"Reference","previous_headings":"","what":"Performs QA on re-submitted out-of-sample prediction files — preprocess_updated_prediction_files","title":"Performs QA on re-submitted out-of-sample prediction files — preprocess_updated_prediction_files","text":"Performs QA re-submitted --sample prediction files","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_updated_prediction_files.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Performs QA on re-submitted out-of-sample prediction files — preprocess_updated_prediction_files","text":"","code":"preprocess_updated_prediction_files(df = data.frame())"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_updated_prediction_files.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Performs QA on re-submitted out-of-sample prediction files — preprocess_updated_prediction_files","text":"df dataframe containing information new prediction files","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_updated_prediction_files.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Performs QA on re-submitted out-of-sample prediction files — preprocess_updated_prediction_files","text":"tibble list-columns containing outputs point-blank checks","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/probit_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with probit-link — probit_back","title":"Back transform beta estimates for models with probit-link — probit_back","text":"Back transform beta estimates models probit-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/probit_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with probit-link — probit_back","text":"","code":"probit_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/probit_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with probit-link — probit_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/probit_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with probit-link — probit_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/read_submission_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Read out-of-sample-prediction analyst submission data — read_submission_data","title":"Read out-of-sample-prediction analyst submission data — read_submission_data","text":"Read --sample-prediction analyst submission data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/read_submission_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Read out-of-sample-prediction analyst submission data — read_submission_data","text":"","code":"read_submission_data(filepath)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/read_submission_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Read out-of-sample-prediction analyst submission data — 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model_name character string model name extracted nested data frame. String must contained data$model_name","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/run_model_checks.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform model checking on series of fitted models for different datasets, exclusion sets and estimate types — run_model_checks","text":"tibble whose columns contain outcomes different model checks","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with $x^2$-link — square_back","title":"Back transform beta estimates for models with $x^2$-link — square_back","text":"Back transform beta estimates models $x^2$-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with $x^2$-link — square_back","text":"","code":"square_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with $x^2$-link — square_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with $x^2$-link — square_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_root_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back","text":"Back transform beta estimates --sample predictions models whose response variable transformed square root","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_root_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back","text":"","code":"square_root_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_root_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back","text":"beta Analyst beta estimate. Numeric vector length 1. se Standard error analyst's beta estimate. Numeric vector length 1. sim Number simulations. Numeric vector length 1.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_root_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/standardise_response.html","id":null,"dir":"Reference","previous_headings":"","what":"Standardise Response Variable — standardise_response","title":"Standardise Response Variable — standardise_response","text":"Standardise Response Variable","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/standardise_response.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standardise Response Variable — standardise_response","text":"","code":"standardise_response(   dat,   estimate_type = character(1L),   param_table = NULL,   dataset = character(1L) )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/standardise_response.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standardise Response Variable — standardise_response","text":"estimate_type type estimate standardised. Character vector length 1, whose value may \"Zr\", \"yi\", \"y25\", \"y50\", \"y75\". param_table table estimated 'population' parameters variable analysis datasets. dataset One either \"blue tit\" \"eucalyptus\" data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/standardise_response.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Standardise Response Variable — standardise_response","text":"tibble analyst data standardised values contained list-column called 'back_transformed_data'","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_Zr.html","id":null,"dir":"Reference","previous_headings":"","what":"Subsetting Functions for Zr analysis — subset_fns_Zr","title":"Subsetting Functions for Zr analysis — subset_fns_Zr","text":"Generates list functions used subset processed ManyEcoEvo dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_Zr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subsetting Functions for Zr analysis — subset_fns_Zr","text":"","code":"subset_fns_Zr()"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_Zr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subsetting Functions for Zr analysis — subset_fns_Zr","text":"named list lambda functions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_yi.html","id":null,"dir":"Reference","previous_headings":"","what":"Subsetting Functions for yi analysis — subset_fns_yi","title":"Subsetting Functions for yi analysis — subset_fns_yi","text":"Generates list functions used subset processed ManyEcoEvo dataset containing --sample predictions \\(y\\_i\\)","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_yi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subsetting Functions for yi analysis — subset_fns_yi","text":"","code":"subset_fns_yi()"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_yi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subsetting Functions for yi analysis — subset_fns_yi","text":"named list lambda functions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analyses_by_reviewer.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","title":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","text":"Summarise analyses reviewed reviewer","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analyses_by_reviewer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","text":"","code":"summarise_analyses_by_reviewer(review_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analyses_by_reviewer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","text":"review_data dataframe containing variables dataset, response_id, ReviewerId.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analyses_by_reviewer.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","text":"dataframe summarising mean, sd, min, max number reviews provided unique reviewer across analyses datasets review_data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analyses_by_reviewer.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","text":"","code":"ManyEcoEvo %>% ungroup %>% select(data, -dataset) %>% unnest(data) %>% select(ends_with(\"_id\"), id_col, dataset, review_data) %>% unnest(review_data) %>% summarise_analyses_by_reviewer() #> # A tibble: 1 × 4 #>    mean    sd   min   max #>   <dbl> <dbl> <int> <int> #> 1  4.29  1.83     1    15"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Analysis Types — summarise_analysis_types","title":"Summarise Analysis Types — summarise_analysis_types","text":"Generates summary number analysis teams, total analyses, models normal error distributions, mixed effects models, models developed using Bayesian statistical methods given analysis type.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Analysis Types — summarise_analysis_types","text":"","code":"summarise_analysis_types(ManyEcoEvo_results, ManyEcoEvo_yi_results, ManyEcoEvo)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Analysis Types — summarise_analysis_types","text":"ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results ManyEcoEvo tibble ManyEcoEvo","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Analysis Types — summarise_analysis_types","text":"summarised tibble variables subset, dataset, num_teams, total_analyses, sum_linear, sum_mixed, sum_Bayesian.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarise Analysis Types — summarise_analysis_types","text":"Applies count_binary_coded_features() count_teams_analyses() generate data summaries.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise Analysis Types — summarise_analysis_types","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Analysis Types — summarise_analysis_types","text":"","code":"summarise_analysis_types(ManyEcoEvo_results, ManyEcoEvo_yi_results, ManyEcoEvo) #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> Warning: There was 1 warning in `mutate()`. #> ℹ In argument: `across(...)`. #> Caused by warning: #> ! NAs introduced by coercion #> Joining with `by = join_by(subset, dataset)` #> # A tibble: 4 × 8 #>   subset    dataset total_teams total_analyses sum_linear sum_mixed sum_Bayesian #>   <chr>     <chr>         <int>          <int>      <dbl>     <dbl>        <dbl> #> 1 effects   blue t…          63            132        125       129           10 #> 2 effects   eucaly…          40             79         15        62            5 #> 3 predicti… blue t…          43             65         60        64           10 #> 4 predicti… eucaly…           9             19          0        11            2 #> # ℹ 1 more variable: sum_glm <dbl>"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"Summarise counts qualitative conclusions across datasets","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"","code":"summarise_conclusions(ManyEcoEvo_results, ManyEcoEvo_yi_results, ManyEcoEvo)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results ManyEcoEvo tibble ManyEcoEvo","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"dataframe count values unique Conclusion columns subset (\"effects\", \"predictions\", \"\"), dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"Data summary generated summarise_conclusions_data().","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"","code":"summarise_conclusions(ManyEcoEvo_results,ManyEcoEvo_yi_results,ManyEcoEvo) #> Warning: There was 1 warning in `mutate()`. #> ℹ In argument: `across(...)`. #> Caused by warning: #> ! NAs introduced by coercion #> # A tibble: 6 × 9 #>   subset      dataset    mixed neg_c neg_q none_c none_q pos_c pos_q #>   <chr>       <chr>      <int> <int> <int>  <int>  <int> <int> <int> #> 1 effects     blue tit       4    27    23      3      1     0     0 #> 2 effects     eucalyptus     5     3     5     14      6     1     2 #> 3 predictions blue tit       4    16    16      1      1     0     0 #> 4 predictions eucalyptus     2     0     2      1      2     0     0 #> 5 all         blue tit       5    37    27      4      1     0     0 #> 6 all         eucalyptus     8     6    12     19     12     2     4"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"Count qualitative conclusions across analyses dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"","code":"summarise_conclusions_data(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"data dataframe containing columns split_id, analysis_id, dataset, Conclusion","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"dataframe counts n unique value Conclusion dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"","code":"ManyEcoEvo$data[[1]] %>% filter(Conclusion != \"CHECK\") %>% summarise_conclusions_data() #> # A tibble: 5 × 3 #>   dataset  Conclusion     n #>   <chr>    <chr>      <int> #> 1 blue tit mixed          5 #> 2 blue tit neg_c         37 #> 3 blue tit neg_q         27 #> 4 blue tit none_c         4 #> 5 blue tit none_q         1"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Model Composition — summarise_model_composition","title":"Summarise Model Composition — summarise_model_composition","text":"Calculate descriptive statistics (mean, sd, min, max) number fixed effects, number random effects, number interactions sample size models dataset across sample predictions standardized corelation coefficients.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Model Composition — summarise_model_composition","text":"","code":"summarise_model_composition(   ManyEcoEvo_results,   ManyEcoEvo_yi_results,   ManyEcoEvo )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Model Composition — summarise_model_composition","text":"ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results ManyEcoEvo tibble ManyEcoEvo","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Model Composition — summarise_model_composition","text":"dataframe","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarise Model Composition — summarise_model_composition","text":"Generates summary data summarise_model_composition_data().","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise Model Composition — summarise_model_composition","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Model Composition — summarise_model_composition","text":"","code":"summarise_model_composition(ManyEcoEvo_results, ManyEcoEvo_yi_results, ManyEcoEvo) #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> Warning: There was 1 warning in `mutate()`. #> ℹ In argument: `across(...)`. #> Caused by warning: #> ! NAs introduced by coercion #> # A tibble: 96 × 5 #>    subset  dataset  variable     fn     value #>    <chr>   <chr>    <chr>        <chr>  <dbl> #>  1 effects blue tit fixed        mean   5.20  #>  2 effects blue tit fixed        sd     2.92  #>  3 effects blue tit fixed        min    1     #>  4 effects blue tit fixed        max   19     #>  5 effects blue tit random       mean   3.53  #>  6 effects blue tit random       sd     2.08  #>  7 effects blue tit random       min    0     #>  8 effects blue tit random       max   10     #>  9 effects blue tit interactions mean   0.435 #> 10 effects blue tit interactions sd     1.11  #> # ℹ 86 more rows"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"Summarise model composition single dataframe sample predictions effect sizes","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"","code":"summarise_model_composition_data(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"data dataframe variables dataset, num_fixed_effects, num_random_effects, num_interactions, sample_size","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"dataframe tidy format yielding descriptive summary statistics (mean, sd, min max) key variables described data, includes variables subset, dataset, variable, fn, value","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"","code":"ManyEcoEvo %>%  ungroup %>%  filter(dataset == \"blue tit\") %>%  select(data) %>%  unnest(data) %>%  summarise_model_composition_data() #> # A tibble: 1 × 17 #>   dataset  fixed_mean fixed_sd fixed_min fixed_max random_mean random_sd #>   <chr>         <dbl>    <dbl>     <dbl>     <dbl>       <dbl>     <dbl> #> 1 blue tit       5.28     3.02         1        19        3.64      2.37 #> # ℹ 10 more variables: random_min <dbl>, random_max <dbl>, #> #   interactions_mean <dbl>, interactions_sd <dbl>, interactions_min <dbl>, #> #   interactions_max <dbl>, n_mean <dbl>, n_sd <dbl>, n_min <dbl>, n_max <dbl>"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Peer-Reviews — summarise_reviews","title":"Summarise Peer-Reviews — summarise_reviews","text":"Calculates summary statistics (mean, sd, min, max) number analyses peer-reviewed reviewer, number reviews received analysis.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Peer-Reviews — summarise_reviews","text":"","code":"summarise_reviews(ManyEcoEvo, ManyEcoEvo_results, ManyEcoEvo_yi_results)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Peer-Reviews — summarise_reviews","text":"ManyEcoEvo tibble ManyEcoEvo ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Peer-Reviews — summarise_reviews","text":"named list length two summarised_data_analyses containing tibble summary statistics outcome subset (effects predictions) generated summarise_analyses_by_reviewer(), summarised_data_reviews containing tibble sumary statistics outcome subset, dataset generated summarise_reviews_per_analysis().","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise Peer-Reviews — summarise_reviews","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Peer-Reviews — summarise_reviews","text":"","code":"summarise_reviews(ManyEcoEvo, ManyEcoEvo_results,ManyEcoEvo_yi_results) #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> $summarised_data_analyses #> # A tibble: 2 × 5 #>   subset       mean    sd   min   max #>   <chr>       <dbl> <dbl> <int> <int> #> 1 effects      3.30  1.68     1    11 #> 2 predictions  2.27  1.18     1     6 #>  #> $summarised_data_reviews #> # A tibble: 4 × 6 #>   subset      dataset     mean    sd   min   max #>   <chr>       <chr>      <dbl> <dbl> <int> <int> #> 1 effects     blue tit    3.87 0.707     3     5 #> 2 effects     eucalyptus  4.24 0.790     3     6 #> 3 predictions blue tit    3.86 0.734     3     5 #> 4 predictions eucalyptus  4.6  0.966     3     6 #>"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews_per_analysis.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise reviews per each analysis — summarise_reviews_per_analysis","title":"Summarise reviews per each analysis — summarise_reviews_per_analysis","text":"Summarise reviews per analysis","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews_per_analysis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise reviews per each analysis — summarise_reviews_per_analysis","text":"","code":"summarise_reviews_per_analysis(review_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews_per_analysis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise reviews per each analysis — summarise_reviews_per_analysis","text":"review_data dataframe containing variables dataset, response_id, ReviewerId.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews_per_analysis.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise reviews per each analysis — summarise_reviews_per_analysis","text":"dataframe variables dataset, mean, sd, min, max number times analysis reviewed","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews_per_analysis.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise reviews per each analysis — summarise_reviews_per_analysis","text":"","code":"ManyEcoEvo %>% ungroup %>% select(data, -dataset) %>% unnest(data) %>% select(ends_with(\"_id\"), id_col, dataset, review_data) %>% unnest(review_data) %>% summarise_reviews_per_analysis() #> # A tibble: 2 × 5 #>   dataset     mean    sd   min   max #>   <chr>      <dbl> <dbl> <int> <int> #> 1 blue tit    3.86 0.773     2     6 #> 2 eucalyptus  4.03 0.880     2     6"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"Summarise Mean Sorensen's Index Estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"","code":"summarise_sorensen_index(ManyEcoEvo_results, ManyEcoEvo_yi_results)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"tibble aggregate summary statistics (mean, sd, min, max) mean Sorensen's index estimates across subset dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"Generates data summary summarise_sorensen_index_data().","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"","code":"summarise_sorensen_index(ManyEcoEvo_results,ManyEcoEvo_yi_results) #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> # A tibble: 4 × 6 #>   subset      dataset     mean     sd   min   max #>   <chr>       <chr>      <dbl>  <dbl> <dbl> <dbl> #> 1 predictions blue tit   0.569 0.0733 0.429 0.743 #> 2 predictions eucalyptus 0.665 0.0752 0.529 0.784 #> 3 effects     blue tit   0.595 0.0958 0.434 0.859 #> 4 effects     eucalyptus 0.690 0.0839 0.548 0.982"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","title":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","text":"Summarises Sorensen's index estimates single dataframe estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","text":"","code":"summarise_sorensen_index_data(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","text":"data dataframe containing mean_diversity_index Sorensen's index estimates analysis id_col, dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","text":"dataframe mean, sd, min, max mean Sorensen's index values dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","text":"","code":"ManyEcoEvo_results %>% filter(exclusion_set == \"complete\",       publishable_subset == \"All\",       expertise_subset == \"All\") %>%  ungroup %>%  select(dataset, diversity_indices) %>%  unnest(diversity_indices) %>%   summarise_sorensen_index_data() #> # A tibble: 2 × 5 #>   dataset     mean     sd   min   max #>   <chr>      <dbl>  <dbl> <dbl> <dbl> #> 1 blue tit   0.595 0.0958 0.434 0.859 #> 2 eucalyptus 0.690 0.0839 0.548 0.982"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise variable usage across analyses — summarise_variable_counts","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"Using count_analyses_variables_used() calculates counts analyses variable used given dataset. summarisation counts ( mean, sd, min max) optional, see details.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"","code":"summarise_variable_counts(   ManyEcoEvo,   ManyEcoEvo_results,   ManyEcoEvo_yi_results,   output = \"count\" )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"ManyEcoEvo tibble ManyEcoEvo ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results output length 1 character vector equal \"count\" \"aggregate\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"dataframe count values n summary statistic values n_mean,n_sd,n_min,n_max counts depending value supplied output argument.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"calculate count values, supply \"count\" argument output. calculate summary statistics counts, supply \"aggregate\" argument output instead.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"","code":"summarise_variable_counts(ManyEcoEvo, ManyEcoEvo_results, ManyEcoEvo_yi_results, \"count\") #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> # A tibble: 666 × 4 #>    subset  dataset  variable                        n #>    <chr>   <chr>    <chr>                       <dbl> #>  1 effects blue tit hatch_year                    101 #>  2 effects blue tit hatch_nest_breed_ID            67 #>  3 effects blue tit hatch_Area                     25 #>  4 effects blue tit hatch_Box                       6 #>  5 effects blue tit hatch_mom_Ring                 36 #>  6 effects blue tit hatch_nest_dad_Ring             4 #>  7 effects blue tit Extra-pair_paternity            6 #>  8 effects blue tit Extra-pair_dad_ring             0 #>  9 effects blue tit genetic_dad_ring_(WP_or_EP)    19 #> 10 effects blue tit hatch_nest_LD                  24 #> # ℹ 656 more rows  summarise_variable_counts(ManyEcoEvo, ManyEcoEvo_results, ManyEcoEvo_yi_results, \"aggregate\") #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> # A tibble: 6 × 6 #> # Groups:   dataset [2] #>   dataset    subset      n_mean  n_sd n_min n_max #>   <chr>      <chr>        <dbl> <dbl> <dbl> <dbl> #> 1 blue tit   all         12.2   25.8      0   120 #> 2 blue tit   effects      9.64  21.1      0   101 #> 3 blue tit   predictions  5.09  11.0      0    53 #> 4 eucalyptus all          8.88  16.2      0    77 #> 5 eucalyptus effects      4.74   9.98     0    55 #> 6 eucalyptus predictions  0.955  2.30     0    12"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate predictions conditioned on dataset — validate_predictions","title":"Validate predictions conditioned on dataset — validate_predictions","text":"Validate predictions conditioned dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate predictions conditioned on dataset — validate_predictions","text":"","code":"validate_predictions(data_set, input, type = \"filepath\")"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate predictions conditioned on dataset — validate_predictions","text":"data_set dataset analysed, either \"blue tit\" \"eucalyptus\" input tibble sample predictions augmented, .e. checked updated type character string length 1, equal either \"filepath\" \"df\". Defaults \"filepath\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate predictions conditioned on dataset — validate_predictions","text":"object class \"pointblank_agent\", yet interrogated.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_blue_tit.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate out of sample predictions for blue tit dataset with pointblank package — validate_predictions_df_blue_tit","title":"Validate out of sample predictions for blue tit dataset with pointblank package — validate_predictions_df_blue_tit","text":"Validate sample predictions blue tit dataset pointblank package","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_blue_tit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate out of sample predictions for blue tit dataset with pointblank package — validate_predictions_df_blue_tit","text":"","code":"validate_predictions_df_blue_tit(input, type = \"filepath\")"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_blue_tit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate out of sample predictions for blue tit dataset with pointblank package — validate_predictions_df_blue_tit","text":"input Either filepath dataframe, corresponding type argument specification type character string length 1, equal either \"filepath\" \"df\". Defaults \"filepath\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_blue_tit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate out of sample predictions for blue tit dataset with pointblank package — validate_predictions_df_blue_tit","text":"pointblank agent, class \"ptblank_agent\", yet interrogated","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_euc.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate out of sample predictions for eucalytpus dataset with pointblank package — validate_predictions_df_euc","title":"Validate out of sample predictions for eucalytpus dataset with pointblank package — validate_predictions_df_euc","text":"Validate sample predictions eucalytpus dataset pointblank package","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_euc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate out of sample predictions for eucalytpus dataset with pointblank package — validate_predictions_df_euc","text":"","code":"validate_predictions_df_euc(input, type = \"filepath\")"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_euc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate out of sample predictions for eucalytpus dataset with pointblank package — validate_predictions_df_euc","text":"input Either filepath dataframe, corresponding type argument specification type character string length 1, equal either \"filepath\" \"df\". Defaults \"filepath\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_euc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate out of sample predictions for eucalytpus dataset with pointblank package — validate_predictions_df_euc","text":"pointblank agent, class \"ptblank_agent\", yet interrogated","code":""}]
+[{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement elliot.gould@unimelb.edu.au. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.0, available https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc. <http://fsf.org/> Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"GNU General Public License free, copyleft license software kinds works. licenses software practical works designed take away freedom share change works. contrast, GNU General Public License intended guarantee freedom share change versions program–make sure remains free software users. , Free Software Foundation, use GNU General Public License software; applies also work released way authors. can apply programs, . speak free software, referring freedom, price. General Public Licenses designed make sure freedom distribute copies free software (charge wish), receive source code can get want , can change software use pieces new free programs, know can things. protect rights, need prevent others denying rights asking surrender rights. Therefore, certain responsibilities distribute copies software, modify : responsibilities respect freedom others. example, distribute copies program, whether gratis fee, must pass recipients freedoms received. must make sure , , receive can get source code. must show terms know rights. 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States allow patents restrict development use software general-purpose computers, , wish avoid special danger patents applied free program make effectively proprietary. prevent , GPL assures patents used render program non-free. precise terms conditions copying, distribution modification follow.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/LICENSE.html","id":"id_0-definitions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"0. 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If not, see <http://www.gnu.org/licenses/>. <program>  Copyright (C) <year>  <name of author> This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/data_cleaning_preparation.html","id":"data-cleaning","dir":"Articles","previous_headings":"","what":"Data Cleaning","title":"Data Cleaning & Preparation for Analysis","text":"Analysts may report estimates various scales, example may report values link response scales, may also …. order proceed effect size standardisation standardisation, transformations back-transformations need applied. Anonymising submissions - anonymise_teams() / anonymise_id_col() clean_response_transformation() Depends scale values reported (link / response), transformation applied response variable, predictor variable.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/data_cleaning_preparation.html","id":"data-preprocessing","dir":"Articles","previous_headings":"","what":"Data Preprocessing","title":"Data Cleaning & Preparation for Analysis","text":"distinction processing cleaning?","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/data_cleaning_preparation.html","id":"back-transforming-response-variables","dir":"Articles","previous_headings":"Data Preprocessing","what":"Back-transforming response variables","title":"Data Cleaning & Preparation for Analysis","text":"meta-analysis units need standardized analysts use different response / outcome variables, may need ensure talking units correct scale can standardize.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/data_cleaning_preparation.html","id":"standardising-effect-sizes","dir":"Articles","previous_headings":"Data Preprocessing","what":"Standardising effect sizes","title":"Data Cleaning & Preparation for Analysis","text":"pred_to_Z() (data frame level), Z_VZ_preds() est_to_Zr()","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/data_cleaning_preparation.html","id":"calculating-sorensen-similarity-index","dir":"Articles","previous_headings":"Data Preprocessing","what":"Calculating Sorensen similarity index","title":"Data Cleaning & Preparation for Analysis","text":"apply_sorensen_calc() calculate_sorensen_diversity_index() (also needs renamed)","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/multiple_datasets.html","id":"a-tidy-approach-with-list-columns-and-nested-dataframes","dir":"Articles","previous_headings":"","what":"A tidy approach with list-columns and nested dataframes","title":"Scaling Up: working with multiple subsets or multiple datasets","text":"list-columns tidy modelling approach.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/multiple_datasets.html","id":"working-with-multiple-datasets","dir":"Articles","previous_headings":"A tidy approach with list-columns and nested dataframes","what":"Working with Multiple datasets","title":"Scaling Up: working with multiple subsets or multiple datasets","text":"Multiple different datasets might want replicate analyses compare. E.g. Blue tit vs. Eucalyptus. Demonstrate approach analysis pipeline ManyEcoEvo just using blue tit Eucalyptus data -> make_viz() etc.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/articles/multiple_datasets.html","id":"creating-data-subsets-based-on-various-exclusion-principles","dir":"Articles","previous_headings":"A tidy approach with list-columns and nested dataframes","what":"Creating data subsets based on various exclusion principles","title":"Scaling Up: working with multiple subsets or multiple datasets","text":"Generate different subsets: - generate_exclusion_subsets() - generate_expertise_subsets() - generate_outlier_subsets() - generate_rating_subsets() - generate_yi_subsets()","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Elliot Gould. Author, maintainer. Hannah S. Fraser. Author. Shinichi Nakagawa. Author. Timothy H. Parker. Author.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Gould E, Fraser H, Nakagawa S, Parker T (2023). “ManyEcoEvo: Meta-analyse data ManyAnalyst style studies.” TBC.","code":"@Article{,   title = {ManyEcoEvo: Meta-analyse data from ManyAnalyst style studies},   author = {Elliot Gould and Hannah S. Fraser and Shinichi Nakagawa and Timothy H. Parker},   journal = {TBC},   year = {2023}, }"},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"manyecoevo-","dir":"","previous_headings":"","what":"Meta-analyse data from Many-Analysts style studies","title":"Meta-analyse data from Many-Analysts style studies","text":"ManyEcoEvo package provides suite functions : Summarising, analysing visualising ManyEcoEvo dataset Gould et al.1 Tidying cleaning many-analyst style data analysis Reproducing analysis Gould et al. using many-analyst style data Note manuscript source-code Gould et al. located separate repository https://github.com/egouldo/ManyAnalysts, can viewed https://egouldo.github.io/ManyAnalysts/.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Meta-analyse data from Many-Analysts style studies","text":"ManyEcoEvo:: can installed using devtools:: GitHub :","code":"devtools::install_github(\"egouldo/ManyEcoEvo\")"},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"regenerating-the-manyecoevo-dataset","dir":"","previous_headings":"","what":"Regenerating the ManyEcoEvo dataset","title":"Meta-analyse data from Many-Analysts style studies","text":"data processing analysis can freely reproduced help targets:: package. Please see documentation https://docs.ropensci.org/targets/ detail. wish completely reproduce dataset generation analysis Gould et al., complete following steps: Clone download https://github.com/egouldo/repository Run renv::restore() load packages used analysis pipeline locally machine (see renv:: details) Run tar_destroy() remove record caches existing targets Run targets::tar_make() console, depending power machine, analysis pipeline take 2 7 minutes execute (plus minus !) can view table targets pipeline running targets::tar_meta() interact objects ‘targets’ within analysis pipeline, call targest::tar_load() targets::tar_read():","code":"targets::tar_read(\"ManyEcoEvo\") # A tibble: 2 × 4   dataset    data                diversity_data      estimate_type   <chr>      <list>              <named list>        <chr>         1 blue tit   <tibble [174 × 38]> <tibble [174 × 54]> Zr            2 eucalyptus <tibble [128 × 38]> <tibble [128 × 61]> Zr"},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"license","dir":"","previous_headings":"","what":"License","title":"Meta-analyse data from Many-Analysts style studies","text":"software licensed GNU GPL 3 license.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"contributing","dir":"","previous_headings":"","what":"Contributing","title":"Meta-analyse data from Many-Analysts style studies","text":"package released Contributor Code Conduct.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Meta-analyse data from Many-Analysts style studies","text":"","code":"To cite package ‘ManyEcoEvo’ in publications use:    Gould E, Fraser H, Nakagawa S, Parker T (2023). _ManyEcoEvo: Meta-analyse   data from 'Many-Analysts' style studies_. R package version 1.0.0,   <https://github.com/egouldo/ManyEcoEvo>.  A BibTeX entry for LaTeX users is    @Manual{,     title = {ManyEcoEvo: Meta-analyse data from 'Many-Analysts' style studies},     author = {Elliot Gould and Hannah S. Fraser and Shinichi Nakagawa and Timothy H. Parker},     year = {2023},     note = {R package version 1.0.0},     url = {https://github.com/egouldo/ManyEcoEvo},   }"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/NotIn.html","id":null,"dir":"Reference","previous_headings":"","what":"Negative Value Matching — %in%","title":"Negative Value Matching — %in%","text":"See base:: details. %nin% binary operator, returning logical vector indicating negative match .","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/NotIn.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Negative Value Matching — %in%","text":"","code":"lhs %in% rhs"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/NotIn.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Negative Value Matching — %in%","text":"lhs vector NULL: values matched. Long vectors supported. rhs vector NULL: values matched. Long vectors supported.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/NotIn.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Negative Value Matching — %in%","text":"logical vector indicating value lhs matched rhs","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/Z_VZ_preds.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds","title":"Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds","text":"Calculate Z VZ --sample predictions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/Z_VZ_preds.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds","text":"","code":"Z_VZ_preds(yi, yi_se, mu_p, sd_p)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/Z_VZ_preds.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds","text":"yi point-estimate prediction, response scale yi_se standard error yi mu_p Population mean variable estimated yi sd_p Population standard deviation variable estimated yi","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/Z_VZ_preds.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate Z and VZ of out-of-sample predictions — Z_VZ_preds","text":"tibble columns Z VZ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/anonymise_teams.html","id":null,"dir":"Reference","previous_headings":"","what":"Anonymise ManyEcoEvo Data — anonymise_teams","title":"Anonymise ManyEcoEvo Data — anonymise_teams","text":"Anonymise ManyEcoEvo Data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/anonymise_teams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Anonymise ManyEcoEvo Data — anonymise_teams","text":"","code":"anonymise_teams(df, lookup)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/anonymise_teams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Anonymise ManyEcoEvo Data — anonymise_teams","text":"df dataframe containing column id_col lookup dataframe containing columns TeamIdentifier New_Identifier","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/anonymise_teams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Anonymise ManyEcoEvo Data — anonymise_teams","text":"df anonymised values id_col based New_Identifier colum lookup","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_VZ_exclusions.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions","title":"Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions","text":"Apply VZ exclusion data-frame containing list-columns yi subsets","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_VZ_exclusions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions","text":"","code":"apply_VZ_exclusions(df = data.frame(), VZ_cutoff = numeric(1L))"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_VZ_exclusions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions","text":"df dataframe yi data subsets generated generate_yi_subsets\\(\\). VZ_cutoff numeric vector length 1, values equal greater value VZ filtered dataframes stored df's list-column data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_VZ_exclusions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apply VZ exclusion to a data-frame containing list-columns of yi subsets — apply_VZ_exclusions","text":"dataframe yi subsets, whose extreme values VZ removed.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_sorensen_calc.html","id":null,"dir":"Reference","previous_headings":"","what":"Applies the sorensen diversity index calculation to variable diversity dataset — apply_sorensen_calc","title":"Applies the sorensen diversity index calculation to variable diversity dataset — apply_sorensen_calc","text":"Applies sorensen diversity index calculation variable diversity dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_sorensen_calc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Applies the sorensen diversity index calculation to variable diversity dataset — apply_sorensen_calc","text":"","code":"apply_sorensen_calc(.data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_sorensen_calc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Applies the sorensen diversity index calculation to variable diversity dataset — apply_sorensen_calc","text":".data variable diversity dataset columns unique variable used analyses. Values NA analysis use variable, take value variable character string analysis use variable. unique analysis row.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apply_sorensen_calc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Applies the sorensen diversity index calculation to variable diversity dataset — apply_sorensen_calc","text":"tibble containing variables id_col, mean_diversity_index num_variables","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apportion_heterogeneity_ml.html","id":null,"dir":"Reference","previous_headings":"","what":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","title":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","text":"Estimates much total variance $^2$ can attributed - within- cluster heterogeneity separately.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apportion_heterogeneity_ml.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","text":"","code":"apportion_heterogeneity_ml(fitted_model)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apportion_heterogeneity_ml.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","text":"fitted_model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apportion_heterogeneity_ml.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","text":"named numeric vector length 2.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/apportion_heterogeneity_ml.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Apportion heterogeneity of a multi-level meta-analytic model — apportion_heterogeneity_ml","text":"http://www.metafor-project.org/doku.php/tips:i2_multilevel_multivariate","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/assign_transformation_type.html","id":null,"dir":"Reference","previous_headings":"","what":"Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type","title":"Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type","text":"Assign back-transformation type applied analysis point-estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/assign_transformation_type.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type","text":"","code":"assign_transformation_type(   response_transformation = character(1L),   link_fun = character(1L) )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/assign_transformation_type.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type","text":"response_transformation Character vector length 1L containing analysis response transformation link_fun Character vector length 1L containing analysis link function","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/assign_transformation_type.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Assign back-transformation type to be applied to analysis point-estimates — assign_transformation_type","text":"character vector length 1L","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":"augment_prediction_data() relabel remove extraneous columns --sample prediction data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":"","code":"augment_prediction_data(.data, checks, dataset)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":".data data.frame -sample-predictions analyst submission data checks data.frame pointblank interrogation output .data dataset character string equal either \"blue tit\" \"eucalyptus\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":"dataframe. Individual analyst submission containing augmented --sample prediction data ready meta-analysis.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":"missing variables .data checks missing, NA returned augmented prediction data instead.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/augment_prediction_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Augment analyst out-of-sample prediction data according to the outcome of pointblank interrogation — augment_prediction_data","text":"","code":"# for testing and dev purposes: # safe_augment <- purrr:::safely(augment_prediction_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/back_transform_response_vars_yi.html","id":null,"dir":"Reference","previous_headings":"","what":"Back Transform Response Variables - yi — back_transform_response_vars_yi","title":"Back Transform Response Variables - yi — back_transform_response_vars_yi","text":"Back Transform Response Variables - yi","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/back_transform_response_vars_yi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back Transform Response Variables - yi — back_transform_response_vars_yi","text":"","code":"back_transform_response_vars_yi(   dat,   estimate_type = character(1L),   param_table = NULL,   dataset = character(1L) )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/back_transform_response_vars_yi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back Transform Response Variables - yi — back_transform_response_vars_yi","text":"estimate_type type estimate standardised. Character vector length 1, whose value may  \"yi\", \"y25\", \"y50\", \"y75\". param_table table estimated 'population' parameters variable analysis datasets. dataset One either \"blue tit\" \"eucalyptus\" data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/back_transform_response_vars_yi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back Transform Response Variables - yi — back_transform_response_vars_yi","text":"tibble analyst data standardised values contained list-column called 'back_transformed_data'","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/box_cox_transform.html","id":null,"dir":"Reference","previous_headings":"","what":"Box-cox transform absolute deviation from the meta-analytic mean scores — box_cox_transform","title":"Box-cox transform absolute deviation from the meta-analytic mean scores — box_cox_transform","text":"Box-cox transform absolute deviation meta-analytic mean scores","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/box_cox_transform.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Box-cox transform absolute deviation from the meta-analytic mean scores — box_cox_transform","text":"","code":"box_cox_transform(data, dataset)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/box_cox_transform.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Box-cox transform absolute deviation from the meta-analytic mean scores — box_cox_transform","text":"data Dataset model fitting, must contain columns \"abs_deviation_score_estimate\" standard error dataset character string either \"blue tit\" \"eucalyptus\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/box_cox_transform.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Box-cox transform absolute deviation from the meta-analytic mean scores — box_cox_transform","text":"data additional columns box-cox transformed deviation scores variance","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calc_I2_ml.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","title":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","text":"Calculate I2 multilevel meta-analytic model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calc_I2_ml.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","text":"","code":"calc_I2_ml(fitted_model)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calc_I2_ml.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","text":"fitted_model class rma.mv","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calc_I2_ml.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","text":"numeric vector length 1.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calc_I2_ml.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate I2 for a multilevel meta-analytic model — calc_I2_ml","text":"http://www.metafor-project.org/doku.php/tips:i2_multilevel_multivariate described Nakagawa & Santos, 2012.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_deviation_score.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate deviation from meta-analytic mean — calculate_deviation_score","title":"Calculate deviation from meta-analytic mean — calculate_deviation_score","text":"Calculate absolute deviation standardised effect size meta-analytic mean","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_deviation_score.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate deviation from meta-analytic mean — calculate_deviation_score","text":"","code":"calculate_deviation_score(data, meta_analytic_model)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_deviation_score.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate deviation from meta-analytic mean — calculate_deviation_score","text":"data Dataset containing column \"Z\" \\(standardised sample prediction piont estimates\\) standardised effect-sizes, \"Zr\". meta_analytic_model Fitted meta-analytic model class rma","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_deviation_score.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate deviation from meta-analytic mean — calculate_deviation_score","text":"data additional column deviation score estimates \"abs_deviation_score_estimate\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_deviation_score.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate deviation from meta-analytic mean — calculate_deviation_score","text":"","code":"# Example Usage: TODO - this is incorrect bc box-cox transformation is included in meta_analyse_datasets_wrapper # library(tidyverse); library(targets) # tar_load(meta_analysis_outputs) # calculate_deviation_score(meta_analysis_outputs$data[[1]], #                           meta_analysis_outputs$MA_mod[[1]])"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_sorensen_diversity_index.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate mean sorensen diversity index values for an analyst dataset — calculate_sorensen_diversity_index","title":"Calculate mean sorensen diversity index values for an analyst dataset — calculate_sorensen_diversity_index","text":"Calculate mean sorensen diversity index values analyst dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_sorensen_diversity_index.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate mean sorensen diversity index values for an analyst dataset — calculate_sorensen_diversity_index","text":"","code":"calculate_sorensen_diversity_index(.data, .id = character())"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_sorensen_diversity_index.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate mean sorensen diversity index values for an analyst dataset — calculate_sorensen_diversity_index","text":".data variable diversity dataset columns unique variable used analyses. Values NA analysis use variable, take value variable character string analysis use variable. unique analysis row. .id character string analysis identifier column","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/calculate_sorensen_diversity_index.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate mean sorensen diversity index values for an analyst dataset — calculate_sorensen_diversity_index","text":"tibble containing variables id_col, mean_diversity_index num_variables","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/capwords.html","id":null,"dir":"Reference","previous_headings":"","what":"Capitalise Words — capwords","title":"Capitalise Words — capwords","text":"Capitalise Words","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/capwords.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Capitalise Words — capwords","text":"","code":"capwords(s, strict = FALSE)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/capwords.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Capitalise Words — capwords","text":"s character string containing words captalised strict whether capitalise words ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/capwords.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Capitalise Words — capwords","text":"character string whose words now capitalised","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/capwords.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Capitalise Words — capwords","text":"","code":"capwords(\"bah, bah, black sheep\") #> [1] \"Bah, Bah, Black Sheep\""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/clean_response_transformation.html","id":null,"dir":"Reference","previous_headings":"","what":"Clean response transformation variable — clean_response_transformation","title":"Clean response transformation variable — clean_response_transformation","text":"Cleans response transformation variable names back-transformation functions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/clean_response_transformation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Clean response transformation variable — clean_response_transformation","text":"","code":"clean_response_transformation(response_transformation)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/clean_response_transformation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Clean response transformation variable — clean_response_transformation","text":"response_transformation character vector ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/clean_response_transformation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Clean response transformation variable — clean_response_transformation","text":"character vector cleaned response transformation values equal required transformation values conversion()","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compare_ml_MA.html","id":null,"dir":"Reference","previous_headings":"","what":"Compare two fitted multi-level models — compare_ml_MA","title":"Compare two fitted multi-level models — compare_ml_MA","text":"Compares two fitted multi-level models tidies results","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compare_ml_MA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compare two fitted multi-level models — compare_ml_MA","text":"","code":"compare_ml_MA(object1, object2)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compare_ml_MA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compare two fitted multi-level models — compare_ml_MA","text":"object1 fitted model class mra.mv object2 Another fitted model class mra.mv","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compare_ml_MA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compare two fitted multi-level models — compare_ml_MA","text":"tibble descriptive statistics model fit","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_MA_inputs.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","title":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","text":"Computes sorensen diversity indices joins prepared data preparation meta-analysing subsets data meta_analyse_datasets().","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_MA_inputs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","text":"","code":"compute_MA_inputs(ManyEcoEvo, estimate_type = NULL)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_MA_inputs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","text":"ManyEcoEvo dataframe grouped character columns dataset, estimate_type, exclusion_set. group corresponds subset full dataset, subset analyst data  stored data, corresponding subset diversity_data. estimate_type","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_MA_inputs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","text":"dataframe includes additional columns ManyEcoEvo, added columns diversity_indices effects_analysis.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_MA_inputs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute meta-analysis inputs for a nested-dataframe containing different datasets/subsets of analyst data — compute_MA_inputs","text":"name subset derived funs generated subset_fns_yi /subset_fns_Zr. Computes sorensen diversity indices diversity_indices subset data returning list-columns diversity_indices joins subset analyst data, returning list-column effects_analysis.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_metaanalysis_inputs.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute all metaanalysis inputs for different types of estimates — compute_metaanalysis_inputs","title":"Compute all metaanalysis inputs for different types of estimates — compute_metaanalysis_inputs","text":"Compute metaanalysis inputs different types estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_metaanalysis_inputs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute all metaanalysis inputs for different types of estimates — compute_metaanalysis_inputs","text":"","code":"compute_metaanalysis_inputs(.data, estimate_type = character(1L))"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_metaanalysis_inputs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute all metaanalysis inputs for different types of estimates — compute_metaanalysis_inputs","text":".data dataset containing necessary values computing meta-analysis inputs estimate_type character string, one \"Zr\", \"yi\", \"y25\", \"y50\", \"y75\".","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/compute_metaanalysis_inputs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute all metaanalysis inputs for different types of estimates — compute_metaanalysis_inputs","text":"dataframe processed data ready meta-analysis","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion.html","id":null,"dir":"Reference","previous_headings":"","what":"Conditionally apply back-transformation — conversion","title":"Conditionally apply back-transformation — conversion","text":"Conditionally apply back-transformation functions depending value transformation","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conditionally apply back-transformation — conversion","text":"","code":"conversion(beta, se, transformation, sim = 10000)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Conditionally apply back-transformation — conversion","text":"beta Beta estimate, numeric vector length 1. se Standard error beta estimate, numeric vector length 1 transformation Character string describing transformation sim Number simulations use back-transformation. Defaults $10000$.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Conditionally apply back-transformation — conversion","text":"outputs back-transformation function, see family back-transformations","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Conditionally apply back-transformation — conversion","text":"transformation character strings may take values: \"log\" \"logit\" \"probit\" \"square\" \"probit\" \"double_transformation\" \"cube\" \"inverse\" \"square_root\" \"powerX\", X numeric \"divided..X\", X numeric","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion_2.html","id":null,"dir":"Reference","previous_headings":"","what":"Conditionally apply back-transformation — conversion_2","title":"Conditionally apply back-transformation — conversion_2","text":"Conditionally apply back-transformation functions depending value transformation","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion_2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conditionally apply back-transformation — conversion_2","text":"","code":"conversion_2(beta, se, response_transformation, link_fun, sim = 10000)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion_2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Conditionally apply back-transformation — conversion_2","text":"beta Beta estimate, numeric vector length 1. se Standard error beta estimate, numeric vector length 1 response_transformation Character string describing transformation link_fun Character string describing link function sim Number simulations use back-transformation. Defaults $10000$.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/conversion_2.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Conditionally apply back-transformation — conversion_2","text":"outputs back-transformation function, see family back-transformations","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/convert_predictions.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert Predictions — convert_predictions","title":"Convert Predictions — convert_predictions","text":"Converts sample predictions link scale back response scale","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/convert_predictions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert Predictions — convert_predictions","text":"","code":"convert_predictions(   augmented_data,   transformation_type,   response_transformation,   link_fun )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/convert_predictions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert Predictions — convert_predictions","text":"augmented_data tibble analysts's sample prediction data 3 scenarios","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/convert_predictions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert Predictions — convert_predictions","text":"tibble sample predictions response variable scale response variable used analyst","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":null,"dir":"Reference","previous_headings":"","what":"Count number of analyses each variable is used — count_analyses_variables_used","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"Count number analyses variable used","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"","code":"count_analyses_variables_used(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"data dataframe containing variables dataset, id_col columns filled name variable indicating variable usage.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"dataframe counts n variable used across analyses within given dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"Values variable columns character strings NA. NA values treated absence variable given analysis (observation / row), character strings treated presence variable given analysis. Variable presence analysis converted numeric 1's/0's summed calculate total times analysis used across analyses (n).","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_analyses_variables_used.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Count number of analyses each variable is used — count_analyses_variables_used","text":"","code":"library(ManyEcoEvo) ManyEcoEvo %>%  select(diversity_data) %>%   tidyr::unnest(diversity_data) %>%   count_analyses_variables_used() #> Error in select(., diversity_data): could not find function \"select\""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise binary coded features of analyses — count_binary_coded_features","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"Summarise binary coded features analyses","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"","code":"count_binary_coded_features(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"data dataframe containing variables dataset, lm, mixed_model, Bayesian, coded binary numeric vectors.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"dataframe variables","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_binary_coded_features.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise binary coded features of analyses — count_binary_coded_features","text":"","code":"ManyEcoEvo %>% filter(dataset == \"eucalyptus\") %>% ungroup %>%  select(data) %>%  unnest(data) %>%  mutate(lm = ifelse(linear_model == \"linear\", 1, 0), #TODO move into master processing         glm = ifelse(linear_model == \"generalised\", 1, 0),         Bayesian = as.numeric(Bayesian)) %>%   count_binary_coded_features() #> Error in mutate(., lm = ifelse(linear_model == \"linear\", 1, 0), glm = ifelse(linear_model ==     \"generalised\", 1, 0), Bayesian = as.numeric(Bayesian)): could not find function \"mutate\""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"Summarise number analyst teams total analyses per dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"","code":"count_teams_analyses(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"data dataframe containing variables TeamIdentifier dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"dataframe columns  dataset, total_teams total_analyses equal number rows number unique values within dataset variable input data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/count_teams_analyses.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise number of analyst teams and total analyses per dataset — count_teams_analyses","text":"","code":"ManyEcoEvo %>%  filter(dataset == \"blue tit\") %>%  ungroup %>%  select(data) %>%  unnest(data) %>%  count_teams_analyses() #> Error in unnest(., data): could not find function \"unnest\""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/cube_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with $x^3$-link — cube_back","title":"Back transform beta estimates for models with $x^3$-link — cube_back","text":"Back transform beta estimates models $x^3$-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/cube_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with $x^3$-link — cube_back","text":"","code":"cube_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/cube_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with $x^3$-link — cube_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/cube_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with $x^3$-link — cube_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/divide_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been divided by some number — divide_back","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been divided by some number — divide_back","text":"Back transform beta estimates --sample predictions models whose response variable divided number","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/divide_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been divided by some number — divide_back","text":"","code":"divide_back(beta, se, sim, n)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/divide_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been divided by some number — divide_back","text":"beta Analyst beta estimate. Numeric vector length 1. se Standard error analyst's beta estimate. Numeric vector length 1. sim Number simulations. Numeric vector length 1. n Numeric vector length 1 describing value divisor.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/divide_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been divided by some number — divide_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/est_to_zr.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert estimate to Zr — est_to_zr","title":"Convert estimate to Zr — est_to_zr","text":"Convert estimate Zr","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/est_to_zr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert estimate to Zr — est_to_zr","text":"","code":"est_to_zr(beta_estimate, beta_SE, adjusted_df)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/est_to_zr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert estimate to Zr — est_to_zr","text":"beta_estimate numeric vector, beta estimate analysis either blue tit eucalyptus dataset beta_SE numeric vector, standard error beta_estimate adjusted_df numeric vector adjusted degrees freedom analysis generating beta_SE beta_estimate","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/est_to_zr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert estimate to Zr — est_to_zr","text":"named list length 2 containing converted Zr VZr values","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/est_to_zr.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Convert estimate to Zr — est_to_zr","text":"Convert beta estimate, standard error degrees freedom r Zr sampling variance","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/exclude_extreme_VZ.html","id":null,"dir":"Reference","previous_headings":"","what":"Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ","title":"Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ","text":"Exclude extreme values VZ dataframe standardised predictions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/exclude_extreme_VZ.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ","text":"","code":"exclude_extreme_VZ(df = data.frame(), VZ_cutoff = numeric(1L))"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/exclude_extreme_VZ.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ","text":"df  VZ_cutoff numeric vector length 1, values equal greater value VZ filtered df.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/exclude_extreme_VZ.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Exclude extreme values of VZ from a dataframe of standardised predictions — exclude_extreme_VZ","text":"dataframe observations removed value less VZ\\_cutoff.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cat.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cat","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cat","text":"Fit lmer model box-cox transformed deviation meta-analytic mean scores function continuous peer-review ratings","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cat","text":"","code":"fit_boxcox_ratings_cat(.data, outcome, outcome_var, interceptless = FALSE)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cat","text":".data Data model fitting outcome outcome variable, unquoted. outcome_var Variance outcome variable interceptless logical relating whether model interceptless . Defaults FALSE.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cat","text":"object class lmer.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cont.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","text":"Fit lmer model box-cox transformed deviation meta-analytic mean scores function continuous peer-review ratings","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cont.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","text":"","code":"fit_boxcox_ratings_cont(.data, outcome, outcome_var)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cont.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","text":".data Data model fitting outcome outcome variable, unquoted. outcome_var Variance outcome variable","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cont.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","text":"object class lmer.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_cont.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_cont","text":"","code":"# Example Usage: # Note, outcome = the name using NSE of the response variable, otucome_var = the # variance associated with that variable.  # library(tidyverse);library(targets);library(metafor);library(tidymodels);library(multilevelmod) # tar_load(meta_analysis_outputs) # meta_analysis_outputs$data[[1]] %>% #   fit_boxcox_ratings_cont(., #                                   box_cox_abs_deviation_score_estimate, #                                   VZr )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_ord.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord","text":"Fit lmer model box-cox transformed deviation meta-analytic mean scores function continuous peer-review ratings","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_ord.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord","text":"","code":"fit_boxcox_ratings_ord(.data, outcome, outcome_var, interceptless = FALSE)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_ord.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord","text":".data Data model fitting outcome outcome variable, unquoted. outcome_var Variance outcome variable interceptless logical relating whether model interceptless . Defaults FALSE.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_boxcox_ratings_ord.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit model of boxcox deviation scores as function of continuous ratings — fit_boxcox_ratings_ord","text":"object class lmer.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","title":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","text":"Fit Multivariate Metaregression using metafoR","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","text":"","code":"fit_metafor_mv(estimate, variance, estimate_type = character(1L), data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","text":"estimate Numeric vector variance Numeric vector estimate_type Character vector either \"Zr\", \"y50\", \"y25\", \"y75\". data Dataframe containing estimates variances case id column study_id.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","text":"Object class rma.mv","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit Multivariate Metaregression using metafoR — fit_metafor_mv","text":"","code":"#TODO -- is this the best way of setting up this fun?? (i.e. to take numeric vectors)? # Example Usage: # library(tidyverse);library(targets);library(metafor) # NOT RUN, TODO: remove after create pkg # source(\"R/functions.R\") #NOT RUN, TODO: remove after create pkg tar_read(round_2_survey_meta_analysis) %>%   filter(dataset == \"eucalyptus\") %>%   filter(!is.na(Zr),          !is.na(VZr),          !is.infinite(Zr),          !is.infinite(VZr)) %>% fit_metafor_mv(estimate = .$Zr, variance = .$VZr, estimate_type = \"Zr\", data = .) #>  #> ── Fitting multivariate metaregression ── #>  #> Error: object 'VZr' not found"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv_reduced.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","title":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","text":"Fit reduced multivariate metaregression model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv_reduced.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","text":"","code":"fit_metafor_mv_reduced(estimate, variance, estimate_type = character(1L), data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv_reduced.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","text":"estimate Numeric vector variance Numeric vector estimate_type Character vector either \"Zr\", \"y50\", \"y25\", \"y75\". data Dataframe containing estimates variances case id column study_id.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv_reduced.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","text":"Object class rma.mv","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_mv_reduced.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit reduced multivariate metaregression model — fit_metafor_mv_reduced","text":"","code":"#TODO -- is this the best way of setting up this fun?? (i.e. to take numeric vectors)? # Example Usage: # library(tidyverse);library(targets);library(metafor) # NOT RUN, TODO: remove after create pkg # source(\"R/functions.R\") #NOT RUN, TODO: remove after create pkg tar_read(round_2_survey_meta_analysis) %>%   filter(dataset == \"eucalyptus\") %>%   filter(!is.na(Zr),          !is.na(VZr),          !is.infinite(Zr),          !is.infinite(VZr)) %>% fit_metafor_mv(estimate = .$Zr, variance = .$VZr, estimate_type = \"Zr\", data = .) #>  #> ── Fitting multivariate metaregression ── #>  #> Error: object 'VZr' not found"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_uni.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit univariate meta-analysis with metafor — fit_metafor_uni","title":"Fit univariate meta-analysis with metafor — fit_metafor_uni","text":"Fit univariate meta-analysis metafor","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_uni.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit univariate meta-analysis with metafor — fit_metafor_uni","text":"","code":"fit_metafor_uni(Zr, VZr, data, slab)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_uni.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit univariate meta-analysis with metafor — fit_metafor_uni","text":"Zr Standardized beta-estimate VZr Standardised standard error beta estimate data Dataframe containing estimates variances slab Vector case identifiers","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_uni.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit univariate meta-analysis with metafor — fit_metafor_uni","text":"fitted model class rma","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_metafor_uni.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit univariate meta-analysis with metafor — fit_metafor_uni","text":"","code":"# library(tidyverse);library(targets);library(metafor) # source(\"R/functions.R\") # tar_read(round_2_survey_meta_analysis) %>% #   filter(dataset == \"eucalyptus\") %>% #   filter(!is.na(Zr), #          !is.na(VZr), #          !is.infinite(Zr), #          !is.infinite(VZr)) %>% # fit_metafor_uni(Zr = .$Zr, #                      VZr = .$VZr, #                      data = ., #                      slab = .$study_id)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_sorensen_glm.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","title":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","text":"Fit univariate glm deviation scores sorensen diversity index","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_sorensen_glm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","text":"","code":"fit_sorensen_glm(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_sorensen_glm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","text":"data dataframe containing box-cox transformed absolute deviation meta-analytic mean scores","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_sorensen_glm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","text":"fitted model object class glm parsnip","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_sorensen_glm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit univariate glm of deviation scores on sorensen diversity index — fit_sorensen_glm","text":"","code":"# library(tidyverse);library(targets);library(metafor);library(tidymodels) # tar_load(meta_analysis_outputs) # fit_sorensen_glm(meta_analysis_results$data[[1]])"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_uni_mixed_effects.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","title":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","text":"Fits univariate glm box-cox transformed absolute deviation meta-analytic mean scores function whether analysis mixed effects model \\(.e. included random effects\\) .","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_uni_mixed_effects.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","text":"","code":"fit_uni_mixed_effects(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_uni_mixed_effects.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","text":"data Dataframe containing box-cox transformed absolute deviation scores binary column called mixed_model describing whether analysis used mixed-effects model.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_uni_mixed_effects.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","text":"fitted model object class glm parsnip","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/fit_uni_mixed_effects.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit univariate glm of deviation scores on random effects inclusion — fit_uni_mixed_effects","text":"","code":"# library(tidyverse);library(targets);library(metafor);library(tidymodels) # tar_load(meta_analysis_outputs) # fit_uni_mixed_effects(meta_analysis_results$data[[1]]) # Note: used tidymodels approach for dynamic outcome var selection # base R approach will be more succinct."},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"Generate subsets analyst data based different exclusion criteria","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"","code":"generate_exclusion_subsets(ManyEcoEvo, estimate_type = NULL)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"ManyEcoEvo dataframe estimate_type character vector, one \"Zr\", \"yi\", \"y25\", \"y50\", \"y75\", NULL.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"dataframe grouped dataset exclusion_set contains subsets data diversity_data based exclusion criteria functions defined subset_fns_Zr subset_funs_yi,","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"estimate_type NULL, column estimate_type must ManyEcoEvo.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_exclusion_subsets.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Generate subsets of analyst data based on different exclusion criteria — generate_exclusion_subsets","text":"function uses functionssubset_fns_Zrand subset_fns_yi create named lists elements containing rlang_lambda_functions, whose element name name rlang_lambda_function run generate_exclusion_subsets()","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate Expertise Data Subsets — generate_expertise_subsets","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"Generate Expertise Data Subsets","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"","code":"generate_expertise_subsets(ManyEcoEvo, expert_subset)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"ManyEcoEvo ManyEcoEvo dataframe containing formatted raw data, formatted diversity_data, estimate_type,  dataset, publishable_subset, exclusion_set. See details. expert_subset dataframe containing column response_id containing response ID's included expert subset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"ManyEcoEvo dataframe added column expertise_subset new subsets data diversity_data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"Note function needs run ManyEcoEvo following functions run (See examples): prepare_response_variables() generate_exclusion_subsets() generate_rating_subsets() generate_rating_subsets() creates expertise subsets based full dataset exclusion_set == \"complete\" publishable_subset == \"\".","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_expertise_subsets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate Expertise Data Subsets — generate_expertise_subsets","text":"","code":"library(ManyEcoEvo) library(tidyverse) #> ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── #> ✔ dplyr     1.1.4     ✔ readr     2.1.5 #> ✔ forcats   1.0.0     ✔ stringr   1.5.1 #> ✔ ggplot2   3.5.1     ✔ tibble    3.2.1 #> ✔ lubridate 1.9.3     ✔ tidyr     1.3.1 #> ✔ purrr     1.0.2      #> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ── #> ✖ dplyr::filter() masks stats::filter() #> ✖ dplyr::lag()    masks stats::lag() #> ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors library(targets) targets::tar_load(ManyEcoEvo) #> Error: targets data store _targets not found. Utility functions like tar_read() and tar_load() require a pre-existing targets data store (default: _targets/) created by tar_make(), tar_make_clustermq(), or tar_make_future(). Details: https://books.ropensci.org/targets/data.html targets::tar_load(expert_subset) #> Error: targets data store _targets not found. Utility functions like tar_read() and tar_load() require a pre-existing targets data store (default: _targets/) created by tar_make(), tar_make_clustermq(), or tar_make_future(). Details: https://books.ropensci.org/targets/data.html ManyEcoEvo %>% prepare_response_variables(estimate_type = \"Zr\") |> generate_exclusion_subsets(estimate_type = \"Zr\") |> generate_rating_subsets() |> generate_expertise_subsets(expert_subset) #>  #> ── Applying exclusion rules and generating exclusion subsets ─────────────────── #>  #> ── Computing meta-analysis inputsfor estimate type Zr ────────────────────────── #>  #> ── Computing standardised effect sizes `Zr` and variance `VZr` ── #>  #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df 484.0193. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df 666.56874. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df 590.18263. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.006225, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.003996, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df 481. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.09247, #> 3. adjusted_df 316.17526. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.029, #> 3. adjusted_df 366.3. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.042, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.01416305, #> 3. adjusted_df 257.905. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.030382264, #> 3. adjusted_df 2372.82. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.01409, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.008781, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.014853, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.000769, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.033978443, #> 3. adjusted_df 347.4992526. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.01823188, #> 3. adjusted_df 55.44391. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.02039768, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.02496, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.03575, #> 3. adjusted_df NA. #>  #> ── Computing meta-analysis inputsfor estimate type Zr ────────────────────────── #>  #> ── Computing standardised effect sizes `Zr` and variance `VZr` ── #>  #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.29212, #> 3. adjusted_df 21. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.007831, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.07216, #> 3. adjusted_df 0.560867697. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.57, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.2328, #> 3. adjusted_df 343.24787. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.3188723, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.0059286, #> 3. adjusted_df 1. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.007385, #> 3. adjusted_df 3.5e-25. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.052462, #> 3. adjusted_df 3.5e-25. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.605, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 8.98, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 7.97, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 5.19, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 18.5, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 5.92, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.529, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 2.89, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.605, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.01312667, #> 3. adjusted_df -2.6269353. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.197, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.192, #> 3. adjusted_df 82.703. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.1, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se NA, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.0048042, #> 3. adjusted_df 341. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.21, #> 3. adjusted_df NA. #> ✖ Required values for computing standardised effect sizes missing: #> ! Returning \"NA\" for tupple: #> 1. beta_estimate NA, #> 2. beta_se 0.5756016, #> 3. adjusted_df 3.536992. #> Joining with `by = join_by(id_col, dataset)` #> Joining with `by = join_by(id_col, dataset)` #> Joining with `by = join_by(id_col, dataset)` #> Joining with `by = join_by(id_col, dataset)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Joining with `by = join_by(id_col)` #> Error in mutate(., data = map(.x = data, .f = dplyr::semi_join, expert_subset)): ℹ In argument: `data = map(.x = data, .f = dplyr::semi_join, #>   expert_subset)`. #> ℹ In group 1: `dataset = \"blue tit\"`, `exclusion_set = \"complete\"`, #>   `estimate_type = \"Zr\"`. #> Caused by error in `map()`: #> ℹ In index: 1. #> ℹ With name: subset_complete. #> Caused by error: #> ! object 'expert_subset' not found"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_outlier_subsets.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets","title":"Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets","text":"Removes top outlier yi datasets top 2 bottom 2 outliers Zr datasets","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_outlier_subsets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets","text":"","code":"generate_outlier_subsets(ManyEcoEvo)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_outlier_subsets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets","text":"ManyEcoEvo ManyEcoEvo dataframe containing formatted raw data, formatted diversity_data, estimate_type, dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_outlier_subsets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate Outlier Subsets for ManyEcoEvo datasets — generate_outlier_subsets","text":"ManyEcoEvo dataframe added column exclusion_set new subsets data diversity_data","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_rating_subsets.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets","title":"Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets","text":"Generates two subsets data based complete partial exclusion datasets yi Zr estimates.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_rating_subsets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets","text":"","code":"generate_rating_subsets(ManyEcoEvo)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_rating_subsets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets","text":"ManyEcoEvo ManyEcoEvo dataframe containing formatted raw data, formatted diversity_data, estimate_type, dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_rating_subsets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate subsets of ManyEcoEvo Data based on Peer Review Ratings — generate_rating_subsets","text":"ManyEcoEvo dataframe added column exclusion_set new subsets data diversity_data","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"Generate subsets --sample predictions data estimate_type multiple analysis datasets.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"","code":"generate_yi_subsets(yi_analysis)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"yi_analysis dataframe containing multiple datasets --sample predictions corresponding diversity data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"datraframe character columns dataset, estimate_type list-cols data diversity_data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"object yi\\_analysis contain character column dataset, list-columns data diversity\\_data. essence, data diversity_data nested dataset. data list-col grouped_dfs, also contain list-col back_transformed_data","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/generate_yi_subsets.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Generate subsets of out-of-sample predictions data by estimate_type for multiple analysis datasets. — generate_yi_subsets","text":"Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_MA_fit_stats.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract meta-analytic statistics like \\(I^2\\), etc. — get_MA_fit_stats","title":"Extract meta-analytic statistics like \\(I^2\\), etc. — get_MA_fit_stats","text":"Extract meta-analytic statistics like \\(^2\\), etc.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_MA_fit_stats.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract meta-analytic statistics like \\(I^2\\), etc. — get_MA_fit_stats","text":"","code":"get_MA_fit_stats(MA_mod)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_MA_fit_stats.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract meta-analytic statistics like \\(I^2\\), etc. — get_MA_fit_stats","text":"MA_mod fitted model class rma.mv","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_MA_fit_stats.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract meta-analytic statistics like \\(I^2\\), etc. — get_MA_fit_stats","text":"tidy tibble \\(\\sigma^2\\) \\(^2\\) estimates MA_mod","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_diversity_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Diversity Data — get_diversity_data","title":"Get Diversity Data — get_diversity_data","text":"Get Diversity Data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_diversity_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Diversity Data — get_diversity_data","text":"","code":"get_diversity_data(raw_data, dataset, variables = character())"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_diversity_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Diversity Data — get_diversity_data","text":"raw_data  dataset character string either \"eucalyptus\" \"blue tit\" variables character vector length containing names variables get diversity data ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_diversity_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Diversity Data — get_diversity_data","text":"tibble diversity data either 'eucalyptus' 'blue tit' analyses","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/get_diversity_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get Diversity Data — get_diversity_data","text":"Called prepare_diversity_raw","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/gg_forest.html","id":null,"dir":"Reference","previous_headings":"","what":"Forestplot with ggplot2 — gg_forest","title":"Forestplot with ggplot2 — gg_forest","text":"Forestplot ggplot2","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/gg_forest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Forestplot with ggplot2 — gg_forest","text":"","code":"gg_forest(meta_model, estimate_type, dataset = character(1L))"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/gg_forest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Forestplot with ggplot2 — gg_forest","text":"meta_model Fitted meta-analysis model class rma estimate_type Whether estimate standardized effect size standardised sample prediction. Must one \"Zr\", \"y50\", \"y25\", \"y75\". dataset Character string equal name dataset. One \"blue tit\" \"eucalyptus\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/gg_forest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Forestplot with ggplot2 — gg_forest","text":"object class ggplot2","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/i2_ml.html","id":null,"dir":"Reference","previous_headings":"","what":"i2_ml — i2_ml","title":"i2_ml — i2_ml","text":"I2 (-squared) mulilevel meta-analytic models, based Nakagawa & Santos (2012). multilevel models, can multiple I2 (see also Senior et al. 2016). Alternatively, method proposed Wolfgang Viechtbauer can also used.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/i2_ml.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"i2_ml — i2_ml","text":"","code":"i2_ml(model, method = c(\"ratio\", \"matrix\"), data, boot = NULL)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/i2_ml.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"i2_ml — i2_ml","text":"model Model object class rma.mv rma. Currently model objects using mods argument work (e.g., mod = ~1). method Method used calculate I2. Two options exist: ratio-based calculation proposed Nakagawa & Santos (\"ratio\"), Wolfgang Viechtbauer's matrix method (\"matrix\"). data Data frame used fit model. boot Number simulations run produce 95 percent confidence intervals I2. Default NULL, point estimate provided.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/i2_ml.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"i2_ml — i2_ml","text":"data frame containing model results including mean effect size estimate, confidence, prediction intervals","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/i2_ml.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"i2_ml — i2_ml","text":"Shinichi Nakagawa - s.nakagawa@unsw.edu.au Daniel Noble - daniel.noble@anu.edu.au Elliot Gould - elliot.gould@unimelb.edu.au","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/identity_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with identity-link — identity_back","title":"Back transform beta estimates for models with identity-link — identity_back","text":"Back transform beta estimates models identity-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/identity_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with identity-link — identity_back","text":"","code":"identity_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/identity_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with identity-link — identity_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/identity_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with identity-link — identity_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/inverse_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with $1/x$ link — inverse_back","title":"Back transform beta estimates for models with $1/x$ link — inverse_back","text":"Back transform beta estimates models $1/x$ link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/inverse_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with $1/x$ link — inverse_back","text":"","code":"inverse_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/inverse_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with $1/x$ link — inverse_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/inverse_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with $1/x$ link — inverse_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with log-link — log_back","title":"Back transform beta estimates for models with log-link — log_back","text":"Back transform beta estimates models log-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with log-link — log_back","text":"","code":"log_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with log-link — log_back","text":"beta Analyst beta estimate yi estimate se Standard error analyst's beta estimate yi estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with log-link — log_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_transform.html","id":null,"dir":"Reference","previous_headings":"","what":"log transform response-scale yi estimates — log_transform","title":"log transform response-scale yi estimates — log_transform","text":"log transform response-scale yi estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_transform.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"log transform response-scale yi estimates — log_transform","text":"","code":"log_transform(estimate, std.error, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_transform.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"log transform response-scale yi estimates — log_transform","text":"estimate Point estimates original response scale std.error Standard error point estimates original response scale sim Number simulations run generating distribution sample ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_transform.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"log transform response-scale yi estimates — log_transform","text":"dataframe containing mean_log, std.error_log, lower upper 95% CI log scale","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/log_transform.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"log transform response-scale yi estimates — log_transform","text":"","code":"log_transform(1.77, 1.01, 1000)  #> ✔ Log-transformed out-of-sample predictions, using 1000 simulations. #>    mean_log std.error_log     lower   upper #> 1 0.4322238     0.7719505 -1.409577 1.34147"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/logit_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with logit-link — logit_back","title":"Back transform beta estimates for models with logit-link — logit_back","text":"Back transform beta estimates models logit-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/logit_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with logit-link — logit_back","text":"","code":"logit_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/logit_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with logit-link — logit_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/logit_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with logit-link — logit_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":null,"dir":"Reference","previous_headings":"","what":"Make paramater table — make_param_table","title":"Make paramater table — make_param_table","text":"make_param_table() calculates mean standard deviation numeric variables dataframe tibble.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make paramater table — make_param_table","text":"","code":"make_param_table(analysis_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make paramater table — make_param_table","text":"analysis_data dataframe tibble.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make paramater table — make_param_table","text":"tibble.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Make paramater table — make_param_table","text":"parameter table used computation Z-values standardisation --sample predictions pred_to_Zr(). make_param_table() returns tidy, long-form tibble variable names analysis_data stored columnvariable, corresponding parameter (\"mean\" \"sd\"), value parameter.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Make paramater table — make_param_table","text":"Currently variable names analysis_data must contain . character used split variable parameter pivot_longer()","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_param_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make paramater table — make_param_table","text":"","code":"make_param_table(ManyEcoEvo::blue_tit_data) #> # A tibble: 34 × 3 #>    variable            parameter      value #>    <chr>               <chr>          <dbl> #>  1 hatch_year          mean        2002.    #>  2 hatch_year          sd             0.787 #>  3 hatch_nest_breed_ID mean      202139.    #>  4 hatch_nest_breed_ID sd           769.    #>  5 hatch_nest_OH       mean          41.7   #>  6 hatch_nest_OH       sd             8.54  #>  7 rear_nest_breed_ID  mean      202140.    #>  8 rear_nest_breed_ID  sd           771.    #>  9 rear_nest_trt       mean           5.78  #> 10 rear_nest_trt       sd             0.816 #> # ℹ 24 more rows make_param_table(ManyEcoEvo::euc_data) #> # A tibble: 74 × 3 #>    variable                parameter      value #>    <chr>                   <chr>          <dbl> #>  1 Quadrat no              mean            4.07 #>  2 Quadrat no              sd              2.37 #>  3 Easting                 mean       374341.   #>  4 Easting                 sd          24426.   #>  5 Northing                mean      5934936.   #>  6 Northing                sd          39485.   #>  7 ExoticAnnualGrass_cover mean           12.4  #>  8 ExoticAnnualGrass_cover sd             15.3  #>  9 ExoticAnnualHerb_cover  mean            7.89 #> 10 ExoticAnnualHerb_cover  sd             11.6  #> # ℹ 64 more rows"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_viz.html","id":null,"dir":"Reference","previous_headings":"","what":"Make visualisations wrapper function — make_viz","title":"Make visualisations wrapper function — make_viz","text":"Computes model summaries, tidy model summaries, model fit stats, funnel plots forest plots dataframe multiple fitted models","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_viz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make visualisations wrapper function — make_viz","text":"","code":"make_viz(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_viz.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make visualisations wrapper function — make_viz","text":"data nested dataframe processed standardised data stored list-column data, grouped variables exclusion_set, dataset, estimate_type","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/make_viz.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make visualisations wrapper function — make_viz","text":"nested dataframe grouped variables exclusion_set, dataset, estimate_type,","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/meta_analyse_datasets.html","id":null,"dir":"Reference","previous_headings":"","what":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","title":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","text":"Runs meta-analyses regression models ManyEcoEvo project analysis, including: Fitting univariate / fixed-effects meta-analysis Calculating deviation every effect size / point-estimate meta-analytic mean data subsetes absolute, box-cox transformed deviation scores univariate GLM regression transformed deviation scores sorensen diversity indices univariate GLM regression transformed deviation scores continuous peer-review ratings univariate GLM regression transformed deviation scores categorical peer-review ratings univariate GLM regression transformed deviation scores binary variable corresponding whether analysis mixed-effects model (.e. GLM random-effects) . implemented: multivariate regression #TODO deviation scores transformed categorical ratings intercept (nice plotting / ecploration).","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/meta_analyse_datasets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","text":"","code":"meta_analyse_datasets(MA_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/meta_analyse_datasets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","text":"MA_data nested-dataframe grouped dataset / exclusion_set, estimate_type, containing list-column prepared analyst subset data effects_analysis ready meta-analysis.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/meta_analyse_datasets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","text":"nested dataframe columns object parsed arg MA_data, additional columns results analysis: MA_mod, sorensen_glm, box_cox_ratings_cont, box_cox_ratings_cat, box_cox_rating_cat_no_int, uni_mixed_effects","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/meta_analyse_datasets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Meta-analyses multiple datasets or subsets of datasets of analyst data — meta_analyse_datasets","text":"","code":"# meta_analyse_datasets(targets::tar_read(round_2_survey_meta_analysis))   # remove_problematic_responses <-    #   preprocessed_dataset %>%    #   dplyr::filter(dataset == \"eucalyptus\",   #          (max(VZr, na.rm = TRUE) == VZr)) TODO, do we need to include now that INF's removed?"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":null,"dir":"Reference","previous_headings":"","what":"Split data frame by groups and name elements — named_group_split","title":"Split data frame by groups and name elements — named_group_split","text":"Split data frame groups name elements","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split data frame by groups and name elements — named_group_split","text":"","code":"named_group_split(.data, grouping_variable)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split data frame by groups and name elements — named_group_split","text":".data tbl. grouping_variable Unquoted variable name group columns ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split data frame by groups and name elements — named_group_split","text":"named list tibbles. tibble contains rows .tbl associated group columns, including grouping variables. Note returns list_of slightly stricter simple list useful representing lists every element type.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Split data frame by groups and name elements — named_group_split","text":"Function fail character string provided grouping_variable instead bare variable name.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/named_group_split.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split data frame by groups and name elements — named_group_split","text":"","code":"named_group_split(ManyEcoEvo::euc_data , Property) #> $Barlow #> # A tibble: 18 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 1        2006-07-24 Winter 2006            1  310042  5934571 nne    #>  2 2        2006-07-24 Winter 2006            2  310087  5934567 ne     #>  3 3        2006-07-24 Winter 2006            3  310240  5934699 se     #>  4 4        2006-07-24 Winter 2006            4  309998  5934968 0      #>  5 5        2006-07-24 Winter 2006            5  309958  5934752 0      #>  6 6        2006-07-24 Winter 2006            6  310137  5934765 0      #>  7 118      2006-11-10 Spring 2006            1  310059  5935151 e      #>  8 119      2006-11-10 Spring 2006            2  310272  5935064 0      #>  9 120      2006-11-10 Spring 2006            3  310195  5935288 n      #> 10 121      2006-11-10 Spring 2006            4  310218  5934982 ne     #> 11 122      2006-11-10 Spring 2006            5  310034  5934700 e      #> 12 123      2006-11-10 Spring 2006            6  309996  5934758 n      #> 13 235      2007-04-19 Autumn 2007            1  310163  5935181 e      #> 14 236      2007-04-19 Autumn 2007            2  310038  5935014 s      #> 15 237      2007-04-19 Autumn 2007            3  310122  5934637 0      #> 16 238      2007-04-19 Autumn 2007            4  310161  5934480 0      #> 17 239      2007-04-19 Autumn 2007            5  310266  5934597 se     #> 18 240      2007-04-19 Autumn 2007            6  310280  5935010 0      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Blaber #> # A tibble: 15 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 7        2006-07-25 Winter 2006            1  386643  5936462 e      #>  2 8        2006-07-25 Winter 2006            2  386736  5936384 e      #>  3 9        2006-07-25 Winter 2006            3  386732  5936315 e      #>  4 10       2006-07-25 Winter 2006            4  386633  5936324 e      #>  5 11       2006-07-25 Winter 2006            5  386896  5936282 e      #>  6 124      2006-11-14 Spring 2006            1  387003  5936393 e      #>  7 125      2006-11-14 Spring 2006            2  386476  5936219 e      #>  8 126      2006-11-14 Spring 2006            3  386827  5936476 e      #>  9 127      2006-11-14 Spring 2006            4  386616  5936267 e      #> 10 128      2006-11-14 Spring 2006            5  386709  5936234 e      #> 11 241      2007-04-17 Autumn 2007            1  386272  5936457 e      #> 12 242      2007-04-17 Autumn 2007            2  387031  5936429 e      #> 13 243      2007-04-17 Autumn 2007            3  386358  5936349 e      #> 14 244      2007-04-17 Autumn 2007            4  386353  5936444 e      #> 15 245      2007-04-17 Autumn 2007            5  386675  5936398 e      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $DClark #> # A tibble: 18 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 12       2006-07-19 Winter 2006            1  380890  5959540 se     #>  2 13       2006-07-19 Winter 2006            2  380734  5959474 s      #>  3 14       2006-07-19 Winter 2006            3  381469  5959397 e      #>  4 15       2006-07-19 Winter 2006            4  381024  5959384 s      #>  5 16       2006-07-19 Winter 2006            5  380890  5959591 se     #>  6 17       2006-07-19 Winter 2006            6  381203  5959676 e      #>  7 129      2006-11-14 Spring 2006            1  380818  5959432 nw     #>  8 130      2006-11-14 Spring 2006            2  381282  5959592 s      #>  9 131      2006-11-14 Spring 2006            3  381475  5959610 e      #> 10 132      2006-11-14 Spring 2006            4  381423  5959607 e      #> 11 133      2006-11-14 Spring 2006            5  381170  5959382 s      #> 12 134      2006-11-14 Spring 2006            6  381127  5959717 e      #> 13 246      2007-04-17 Autumn 2007            1  381391  5959468 s      #> 14 247      2007-04-17 Autumn 2007            2  380947  5959427 0      #> 15 248      2007-04-17 Autumn 2007            3  381324  5959557 0      #> 16 249      2007-04-17 Autumn 2007            4  380756  5959400 e      #> 17 250      2007-04-17 Autumn 2007            5  381203  5959726 s      #> 18 251      2007-04-17 Autumn 2007            6  381236  5959842 e      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Gough #> # A tibble: 27 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 18       2006-07-26 Winter 2006            1  358873  5921525 0      #>  2 19       2006-07-26 Winter 2006            2  359203  5921862 0      #>  3 20       2006-07-26 Winter 2006            3  358793  5921874 se     #>  4 21       2006-07-26 Winter 2006            4  358452  5921673 n      #>  5 22       2006-07-26 Winter 2006            5  359497  5922192 s      #>  6 23       2006-07-26 Winter 2006            6  359480  5955191 n      #>  7 24       2006-07-26 Winter 2006            7  359428  5921795 s      #>  8 25       2006-07-26 Winter 2006            8  358742  5921709 s      #>  9 26       2006-07-26 Winter 2006            9  359198  5921949 s      #> 10 135      2006-11-04 Spring 2006            1  358522  5921752 s      #> # ℹ 17 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Green #> # A tibble: 12 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 27       2006-07-27 Winter 2006            1  360032  5871750 n      #>  2 28       2006-07-27 Winter 2006            2  359983  5871719 n      #>  3 29       2006-07-27 Winter 2006            3  360061  5871604 e      #>  4 30       2006-07-27 Winter 2006            4  359779  5871566 e      #>  5 144      2006-12-07 Spring 2006            1  359810  5871505 w      #>  6 145      2006-12-07 Spring 2006            2  359692  5871634 n      #>  7 146      2006-12-07 Spring 2006            3  359865  5871733 s      #>  8 147      2006-12-07 Spring 2006            4  359972  5871655 w      #>  9 261      2007-05-09 Autumn 2007            1  359972  5871635 n      #> 10 262      2007-05-09 Autumn 2007            2  359924  5871773 n      #> 11 263      2007-05-09 Autumn 2007            3  359869  5871765 n      #> 12 264      2007-05-09 Autumn 2007            4  359715  5871694 e      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Hawkey #> # A tibble: 12 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 31       2006-07-25 Winter 2006            1  330170  6010619 0      #>  2 32       2006-07-25 Winter 2006            2  330187  6010583 0      #>  3 33       2006-07-25 Winter 2006            3  330110  6010544 0      #>  4 34       2006-07-25 Winter 2006            4  330200  6010497 0      #>  5 148      2006-11-10 Spring 2006            1  330118  6010800 0      #>  6 149      2006-11-10 Spring 2006            2  330540  6010844 0      #>  7 150      2006-11-10 Spring 2006            3  330210  6010800 0      #>  8 151      2006-11-10 Spring 2006            4  330125  6010555 0      #>  9 265      2007-04-18 Autumn 2007            1  330074  6010835 0      #> 10 266      2007-04-18 Autumn 2007            2  330228  6010621 0      #> 11 267      2007-04-18 Autumn 2007            3  330258  6010626 0      #> 12 268      2007-04-18 Autumn 2007            4  330133  6010679 0      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $JClark #> # A tibble: 21 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 35       2006-07-26 Winter 2006            1  367739  5821489 sw     #>  2 36       2006-07-26 Winter 2006            2  368058  5872589 w      #>  3 37       2006-07-26 Winter 2006            3  368143  5872626 s      #>  4 38       2006-07-26 Winter 2006            4  368131  5872189 s      #>  5 39       2006-07-26 Winter 2006            5  367696  5872366 nw     #>  6 40       2006-07-26 Winter 2006            6  368650  5872203 w      #>  7 41       2006-07-26 Winter 2006            7  368188  5872013 se     #>  8 152      2006-12-07 Spring 2006            1  367727  5872320 s      #>  9 153      2006-12-07 Spring 2006            2  367851  5872147 nw     #> 10 154      2006-12-07 Spring 2006            3  367744  5871824 w      #> # ℹ 11 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Kellock #> # A tibble: 27 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 42       2006-07-26 Winter 2006            1  409176  5987415 n      #>  2 43       2006-07-25 Winter 2006            2  409242  5987228 s      #>  3 44       2006-07-25 Winter 2006            3  408941  5987483 e      #>  4 45       2006-07-26 Winter 2006            4  409111  5987866 s      #>  5 46       2006-07-25 Winter 2006            5  409489  5987803 0      #>  6 47       2006-07-25 Winter 2006            6  408888  5987382 se     #>  7 48       2006-07-25 Winter 2006            7  409174  5987798 s      #>  8 49       2006-07-25 Winter 2006            8  408864  5987984 w      #>  9 50       2006-07-25 Winter 2006            9  409135  5987761 ne     #> 10 159      2006-11-10 Spring 2006            1  408962  5987848 w      #> # ℹ 17 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Martin #> # A tibble: 33 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 51       2006-07-20 Winter 2006            1  387782  5968745 e      #>  2 52       2006-07-20 Winter 2006            2  388746  5967248 0      #>  3 53       2006-07-20 Winter 2006            3  388765  5956890 ne     #>  4 54       2006-07-20 Winter 2006            4  388358  5956799 0      #>  5 55       2006-07-20 Winter 2006            5  388477  5956640 0      #>  6 56       2006-07-20 Winter 2006            6  388029  5956943 0      #>  7 57       2006-07-20 Winter 2006            7  388341  5956084 0      #>  8 58       2006-07-20 Winter 2006            8  388423  5956006 se     #>  9 59       2006-07-20 Winter 2006            9  388452  5971319 0      #> 10 60       2006-07-20 Winter 2006           10  388732  5960630 0      #> # ℹ 23 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $McCracken #> # A tibble: 24 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 62       2006-07-18 Winter 2006            1  358110  5957069 0      #>  2 63       2006-07-18 Winter 2006            2  358317  5957468 0      #>  3 64       2006-07-18 Winter 2006            3  357720  5957153 0      #>  4 65       2006-07-18 Winter 2006            4  358331  5957240 0      #>  5 66       2006-07-18 Winter 2006            5  358632  5957291 0      #>  6 67       2006-07-18 Winter 2006            6  358145  5957383 0      #>  7 68       2006-07-18 Winter 2006            7  358137  5957448 0      #>  8 69       2006-07-18 Winter 2006            8  358289  5956904 0      #>  9 179      2006-11-11 Spring 2006            1  358300  5956890 0      #> 10 180      2006-11-11 Spring 2006            2  358234  5957048 0      #> # ℹ 14 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Olive #> # A tibble: 15 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 70       2006-07-27 Winter 2006            1  377590  5876368 0      #>  2 71       2006-07-27 Winter 2006            2  377744  5976421 e      #>  3 72       2006-07-27 Winter 2006            3  377219  5876496 s      #>  4 73       2006-07-27 Winter 2006            4  377015  5876440 e      #>  5 74       2006-07-27 Winter 2006            5  377790  5876366 e      #>  6 187      2006-12-06 Spring 2006            1  377201  5876434 s      #>  7 188      2006-12-06 Spring 2006            2  377301  5876368 s      #>  8 189      2006-12-06 Spring 2006            3  377707  5876436 s      #>  9 190      2006-12-06 Spring 2006            4  377587  5876420 n      #> 10 191      2006-12-06 Spring 2006            5  377862  5876384 0      #> 11 304      2007-05-08 Autumn 2007            1  377394  5876407 n      #> 12 305      2007-05-08 Autumn 2007            2  377181  5876421 n      #> 13 306      2007-05-08 Autumn 2007            3  377259  5876280 e      #> 14 307      2007-05-08 Autumn 2007            4  377951  5876374 e      #> 15 308      2007-05-08 Autumn 2007            5  377623  5876345 0      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Rokahr #> # A tibble: 21 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 75       2006-07-25 Winter 2006            1  387771  5985347 0      #>  2 76       2006-07-25 Winter 2006            2  388366  5985356 0      #>  3 77       2006-07-25 Winter 2006            3  387809  5985141 0      #>  4 78       2006-07-25 Winter 2006            4  387671  5984967 0      #>  5 79       2006-07-25 Winter 2006            5  387695  5985380 0      #>  6 80       2006-07-25 Winter 2006            6  387753  5985068 0      #>  7 81       2006-07-25 Winter 2006            7  388043  5985088 0      #>  8 192      2006-11-10 Spring 2006            1  387721  5985370 0      #>  9 193      2006-11-10 Spring 2006            2  388091  5985252 0      #> 10 194      2006-11-10 Spring 2006            3  387748  5985167 0      #> # ℹ 11 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Sharrock #> # A tibble: 12 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 82       2006-07-19 Winter 2006            1  383318  5955469 nw     #>  2 83       2006-07-19 Winter 2006            2  383400  5955169 w      #>  3 84       2006-07-19 Winter 2006            3  383228  5955360 s      #>  4 85       2006-07-19 Winter 2006            4  383368  5955220 w      #>  5 199      2006-11-14 Spring 2006            1  383259  5955400 w      #>  6 200      2006-11-14 Spring 2006            2  383454  5955569 w      #>  7 201      2006-11-14 Spring 2006            3  383340  5955291 nw     #>  8 202      2006-11-14 Spring 2006            4  383247  5955254 nw     #>  9 316      2007-04-17 Autumn 2007            1  383431  5955513 w      #> 10 317      2007-04-17 Autumn 2007            2  383359  5955547 0      #> 11 318      2007-04-17 Autumn 2007            3  383463  5955256 0      #> 12 319      2007-04-17 Autumn 2007            4  383492  5955228 s      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Staff #> # A tibble: 27 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 86       2006-07-27 Winter 2006            1  385708  5939744 nw     #>  2 87       2006-07-27 Winter 2006            2  386193  5939749 s      #>  3 88       2006-07-27 Winter 2006            3  385599  5939313 0      #>  4 89       2006-07-27 Winter 2006            4  385701  5939171 sw     #>  5 90       2006-07-27 Winter 2006            5  386179  5939590 n      #>  6 91       2006-07-27 Winter 2006            6  386037  5939836 n      #>  7 92       2006-07-27 Winter 2006            7  385604  5939140 e      #>  8 93       2006-07-27 Winter 2006            8  385700  5939655 s      #>  9 94       2006-07-27 Winter 2006            9  385991  5939583 n      #> 10 203      2006-11-15 Spring 2006            1  386235  5939864 nw     #> # ℹ 17 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Stoney #> # A tibble: 21 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 95       2006-07-27 Winter 2006            1  410529  5895093 e      #>  2 96       2006-07-27 Winter 2006            2  410683  5895072 e      #>  3 97       2006-07-27 Winter 2006            3  410440  5895054 ne     #>  4 98       2006-07-27 Winter 2006            4  410545  5895038 e      #>  5 99       2006-07-27 Winter 2006            5  410374  5895094 se     #>  6 100      2006-07-27 Winter 2006            6  410210  5895023 e      #>  7 101      2006-07-27 Winter 2006            7  410284  5895820 ne     #>  8 212      2006-12-08 Spring 2006            1  410616  5899138 e      #>  9 213      2006-12-08 Spring 2006            2  410623  5899408 e      #> 10 214      2006-12-08 Spring 2006            3  410572  5898758 e      #> # ℹ 11 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  #> $Taylor #> # A tibble: 15 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 102      2006-07-24 Winter 2006            1  389720  5954557 0      #>  2 103      2006-07-24 Winter 2006            2  378805  5954456 0      #>  3 104      2006-07-24 Winter 2006            3  389669  5954833 0      #>  4 105      2006-07-24 Winter 2006            4  389746  5954624 0      #>  5 106      2006-07-24 Winter 2006            5  389635  5954910 0      #>  6 219      2006-10-14 Spring 2006            1  389718  5954830 0      #>  7 220      2006-10-14 Spring 2006            2  389698  5954770 0      #>  8 221      2006-10-14 Spring 2006            3  389775  5954594 0      #>  9 222      2006-10-14 Spring 2006            4  389817  5954875 0      #> 10 223      2006-10-14 Spring 2006            5  389750  5954882 0      #> 11 336      2007-04-16 Autumn 2007            4  389851  5954634 0      #> 12 337      2007-04-16 Autumn 2007            1  389643  5954703 0      #> 13 338      2007-04-16 Autumn 2007            2  389653  5954793 0      #> 14 339      2007-04-16 Autumn 2007            3  389607  5954928 0      #> 15 340      2007-04-16 Autumn 2007            5  389854  5954441 0      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Wakefield #> # A tibble: 12 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 107      2006-07-27 Winter 2006            1  348307  5874042 nw     #>  2 108      2006-07-27 Winter 2006            2  348206  5874084 s      #>  3 109      2006-07-27 Winter 2006            3  348532  5874001 nw     #>  4 110      2006-07-27 Winter 2006            4  348165  5874028 s      #>  5 224      2006-12-07 Spring 2006            1  348305  5873844 s      #>  6 225      2006-12-07 Spring 2006            2  348562  5874018 n      #>  7 226      2006-12-07 Spring 2006            3  348253  5879750 s      #>  8 227      2006-12-07 Spring 2006            4  348391  5873773 s      #>  9 341      2007-05-09 Autumn 2007            1  348451  5873910 se     #> 10 342      2007-05-09 Autumn 2007            2  348442  5873883 s      #> 11 343      2007-05-09 Autumn 2007            3  348251  5873900 0      #> 12 344      2007-05-09 Autumn 2007            4  348188  5873921 s      #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, #> #   BareGround_cover <dbl>, Litter_cover <dbl>, MossLichen_cover <dbl>, … #>  #> $Yorston #> # A tibble: 21 × 42 #>    SurveyID Date       Season      `Quadrat no` Easting Northing Aspect #>    <fct>    <date>     <chr>              <dbl>   <dbl>    <dbl> <chr>  #>  1 111      2006-07-26 Winter 2006            1  359010  5894495 nw     #>  2 112      2006-07-26 Winter 2006            2  359018  5894606 nw     #>  3 113      2006-07-26 Winter 2006            3  358205  5895793 s      #>  4 114      2006-07-26 Winter 2006            4  358932  5894600 nw     #>  5 115      2006-07-26 Winter 2006            5  358861  5894634 w      #>  6 116      2006-07-26 Winter 2006            6  358074  5895284 s      #>  7 117      2006-07-26 Winter 2006            7  357961  5895704 ne     #>  8 228      2006-11-17 Spring 2006            1  358010  5895886 w      #>  9 229      2006-11-17 Spring 2006            2  358179  5895876 w      #> 10 230      2006-11-17 Spring 2006            3  358917  5894850 w      #> # ℹ 11 more rows #> # ℹ 35 more variables: `Landscape position` <chr>, #> #   ExoticAnnualGrass_cover <dbl>, ExoticAnnualHerb_cover <dbl>, #> #   ExoticPerennialHerb_cover <dbl>, ExoticPerennialGrass_cover <dbl>, #> #   ExoticShrub_cover <dbl>, NativePerennialFern_cover <dbl>, #> #   NativePerennialGrass_cover <dbl>, NativePerennialHerb_cover <dbl>, #> #   NativePerennialGraminoid_cover <dbl>, NativeShrub_cover <dbl>, … #>  named_group_split(ManyEcoEvo::blue_tit_data, hatch_Area) #> $B #> # A tibble: 726 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804103                 2001              201123 B100      .              #>  2 P804104                 2001              201123 B100      .              #>  3 P804106                 2001              201123 B100      .              #>  4 P804107                 2001              201123 B100      .              #>  5 P804108                 2001              201123 B100      .              #>  6 P804110                 2001              201123 B100      .              #>  7 P804112                 2001              201123 B100      .              #>  8 P804115                 2001              201123 B100      .              #>  9 P804117                 2001              201123 B100      .              #> 10 P804118                 2001              201123 B100      .              #> # ℹ 716 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $C #> # A tibble: 577 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804016                 2001              201194 C130      P803008        #>  2 P804017                 2001              201194 C130      P803008        #>  3 P804018                 2001              201167 C26       P803005        #>  4 P804019                 2001              201194 C130      P803008        #>  5 P804020                 2001              201167 C26       P803005        #>  6 P804021                 2001              201194 C130      P803008        #>  7 P804022                 2001              201194 C130      P803008        #>  8 P804023                 2001              201194 C130      P803008        #>  9 P804024                 2001              201167 C26       P803005        #> 10 P804025                 2001              201194 C130      P803008        #> # ℹ 567 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $CP #> # A tibble: 229 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804196                 2001              201225 CP40A     P803102        #>  2 P804197                 2001              201225 CP40A     P803102        #>  3 P804198                 2001              201225 CP40A     P803102        #>  4 P804199                 2001              201225 CP40A     P803102        #>  5 P804456                 2001              201225 CP40A     P803102        #>  6 P804457                 2001              201225 CP40A     P803102        #>  7 P804458                 2001              201225 CP40A     P803102        #>  8 P804459                 2001              201225 CP40A     P803102        #>  9 P804463                 2001              201225 CP40A     P803102        #> 10 P804464                 2001              201225 CP40A     P803102        #> # ℹ 219 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $E #> # A tibble: 333 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804180                 2001              201260 E51B      P803087        #>  2 P804186                 2001              201260 E51B      P803087        #>  3 P804189                 2001              201260 E51B      P803087        #>  4 P804190                 2001              201260 E51B      P803087        #>  5 P804192                 2001              201260 E51B      P803087        #>  6 P804548                 2001              201227 E3        K578406        #>  7 P804549                 2001              201227 E3        K578406        #>  8 P804550                 2001              201227 E3        K578406        #>  9 P804552                 2001              201227 E3        K578406        #> 10 P804553                 2001              201227 E3        K578406        #> # ℹ 323 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $MP #> # A tibble: 375 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804101                 2001              201288 MP55      P803016        #>  2 P804102                 2001              201288 MP55      P803016        #>  3 P804105                 2001              201288 MP55      P803016        #>  4 P804109                 2001              201288 MP55      P803016        #>  5 P804111                 2001              201288 MP55      P803016        #>  6 P804113                 2001              201288 MP55      P803016        #>  7 P804114                 2001              201288 MP55      P803016        #>  8 P804116                 2001              201288 MP55      P803016        #>  9 P804119                 2001              201288 MP55      P803016        #> 10 P804121                 2001              201288 MP55      P803016        #> # ℹ 365 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $O #> # A tibble: 600 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804142                 2001              201319 O27       P803035        #>  2 P804143                 2001              201319 O27       P803035        #>  3 P804144                 2001              201319 O27       P803035        #>  4 P804145                 2001              201319 O27       P803035        #>  5 P804146                 2001              201319 O27       P803035        #>  6 P804181                 2001              201325 O38B      .              #>  7 P804183                 2001              201325 O38B      .              #>  8 P804184                 2001              201325 O38B      .              #>  9 P804185                 2001              201325 O38B      .              #> 10 P804187                 2001              201325 O38B      .              #> # ℹ 590 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $P #> # A tibble: 91 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P805234                 2001              201364 P24       P803249        #>  2 P805235                 2001              201364 P24       P803249        #>  3 P805236                 2001              201364 P24       P803249        #>  4 P805240                 2001              201364 P24       P803249        #>  5 P805241                 2001              201364 P24       P803249        #>  6 P805242                 2001              201364 P24       P803249        #>  7 P805875                 2001              201360 P10       P803358        #>  8 P805876                 2001              201360 P10       P803358        #>  9 P805878                 2001              201360 P10       P803358        #> 10 P805910                 2001              201357 P3        P803362        #> # ℹ 81 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $SW #> # A tibble: 405 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804149                 2001              201393 SW113     P803040        #>  2 P804151                 2001              201393 SW113     P803040        #>  3 P804152                 2001              201393 SW113     P803040        #>  4 P804257                 2001              201397 SW128     P803048        #>  5 P804258                 2001              201397 SW128     P803048        #>  6 P804259                 2001              201397 SW128     P803048        #>  7 P804260                 2001              201397 SW128     P803048        #>  8 P804261                 2001              201397 SW128     P803048        #>  9 P804262                 2001              201397 SW128     P803048        #> 10 P804263                 2001              201397 SW128     P803048        #> # ℹ 395 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>  #> $W #> # A tibble: 384 × 41 #>    chick_ring_number hatch_year hatch_nest_breed_ID hatch_Box hatch_mom_Ring #>    <chr>                  <dbl>               <dbl> <chr>     <chr>          #>  1 P804042                 2001              201419 W47       .              #>  2 P804043                 2001              201417 W43       P803018        #>  3 P804044                 2001              201417 W43       P803018        #>  4 P804045                 2001              201417 W43       P803018        #>  5 P804046                 2001              201419 W47       .              #>  6 P804047                 2001              201419 W47       .              #>  7 P804048                 2001              201419 W47       .              #>  8 P804178                 2001              201414 W37       P803056        #>  9 P804179                 2001              201414 W37       P803056        #> 10 P804193                 2001              201428 W60       P803080        #> # ℹ 374 more rows #> # ℹ 36 more variables: hatch_nest_dad_Ring <chr>, `Extra-pair_paternity` <chr>, #> #   `Extra-pair_dad_ring` <chr>, `genetic_dad_ring_(WP_or_EP)` <chr>, #> #   hatch_nest_LD <chr>, hatch_nest_CS <chr>, hatch_nest_OH <dbl>, #> #   d0_hatch_nest_brood_size <chr>, d14_hatch_nest_brood_size <chr>, #> #   rear_nest_breed_ID <dbl>, rear_area <chr>, rear_Box <chr>, #> #   rear_mom_Ring <chr>, rear_dad_Ring <chr>, rear_nest_trt <dbl>, … #>"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pipe.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pipe operator — %>%","text":"lhs value magrittr placeholder. rhs function call using magrittr semantics.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pipe.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pipe operator — %>%","text":"result calling rhs(lhs).","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_cont_rating_effects.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","title":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","text":"Plot Marginal Effects Numeric Rating Model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_cont_rating_effects.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","text":"","code":"plot_cont_rating_effects(   df = data.frame(),   response = character(),   predictor = character(),   group = NULL,   plot = TRUE,   back_transform = FALSE )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_cont_rating_effects.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","text":"df Dataframe column 'abs_deviation_score_estimate', 'lambda' predictor, response columns response character vector naming response variable column df predictor character vector naming predictor variable column df group optional character vector naming random effect / grouping variable column df plot logical indicating whether plot rendered interactively , defaults TRUE back_transform logical indicating whether response variable back-transformed box-cox transformed scale absolute deviation scores","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_cont_rating_effects.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","text":"list, first element containing fitted statistical model second element containing plot","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_cont_rating_effects.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot Marginal Effects for Numeric Rating Model — plot_cont_rating_effects","text":"","code":"# ManyEcoEvo_results$effects_analysis[[1]] %>% #TODO use package data object instead of targets object # unnest(review_data) %>%  #   plot_cont_rating_effects(response = \"box_cox_abs_deviation_score_estimate\",  #                            predictor = \"RateAnalysis\",  #                            group = \"ReviewerId\",  #                            back_transform = TRUE) %>%  #   pluck(2) + #   ggforce::facet_zoom(xlim = c(0,100), ylim = c(0,0.55)) + #   ggpubr::theme_pubclean() + #   ggplot2::xlab(\"Rating\") + #   ggplot2::ylab(\"Deviation In Effect Size from Analytic Mean\")"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html","id":null,"dir":"Reference","previous_headings":"","what":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","title":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","text":"Marginal Effects Plot Diversity Index Model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","text":"","code":"plot_effects_diversity(mod, df, back_transform = FALSE)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","text":"mod fitted model class 'lm' df dataframe columns, lambda, abs_deviation_score_estimate, box_cox_abs_deviation_score_estimate, mean_diversity_index back_transform logical, back-transform box-cox transformed absolute deviation scores ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","text":"ggplot original data,  predicted values confidence values fitted model","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Marginal Effects Plot of Diversity Index Model — plot_effects_diversity","text":"","code":"#targets::tar_load(ManyEcoEvo_results) #TODO change this to package data #library(tidyverse) #plot_effects_diversity(mod = ManyEcoEvo_results$sorensen_glm[[5]],  #df = ManyEcoEvo_results$effects_analysis[[5]] %>% #dat #select(mean_diversity_index, study_id,  #          starts_with(\"box_cox\"),  #                   starts_with(\"abs_dev\"), #                            lambda),  #                            back_transform = TRUE)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_model_means_box_cox_cat.html","id":null,"dir":"Reference","previous_headings":"","what":"plot_model_means_box_cox_cat — plot_model_means_box_cox_cat","title":"plot_model_means_box_cox_cat — plot_model_means_box_cox_cat","text":"Plot model means box-cox transformed deviation scores function categorical ratings","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_model_means_box_cox_cat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"plot_model_means_box_cox_cat — plot_model_means_box_cox_cat","text":"","code":"plot_model_means_box_cox_cat(   dat,   variable,   predictor_means,   new_order,   title,   lambda,   back_transform = FALSE )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_model_means_box_cox_cat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"plot_model_means_box_cox_cat — plot_model_means_box_cox_cat","text":"dat Data plotting variable Categorical predictor variable plot predictor_means tibble containing means confidence intervals predictor variable new_order character vector new order levels categorical predictor title character vector plot title lambda length 1 numeric vector lambda value used box-cox transformation back_transform logical indicating whether back-transform box-cox transformed data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_model_means_box_cox_cat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"plot_model_means_box_cox_cat — plot_model_means_box_cox_cat","text":"ggplot object","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_model_means_orchard.html","id":null,"dir":"Reference","previous_headings":"","what":"plot_model_means_orchard — plot_model_means_orchard","title":"plot_model_means_orchard — plot_model_means_orchard","text":"Plot means model predictor variable","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_model_means_orchard.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"plot_model_means_orchard — plot_model_means_orchard","text":"","code":"plot_model_means_orchard(dat, variable, predictor_means, new_order, title)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_model_means_orchard.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"plot_model_means_orchard — plot_model_means_orchard","text":"dat tibble data plot variable character string predictor variable plot predictor_means tibble means model new_order character vector new order variable title character string plot title","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/plot_model_means_orchard.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"plot_model_means_orchard — plot_model_means_orchard","text":"ggplot object","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/power_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with power-link — power_back","title":"Back transform beta estimates for models with power-link — power_back","text":"Back transform beta estimates models power-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/power_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with power-link — power_back","text":"","code":"power_back(beta, se, sim, n)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/power_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with power-link — power_back","text":"beta Analyst beta estimate. Numeric vector length 1. se Standard error analyst's beta estimate. Numeric vector length 1. sim Number simulations. Numeric vector length 1. n Numeric vector length 1 describing power values raised transformation.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/power_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with power-link — power_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pred_to_Z.html","id":null,"dir":"Reference","previous_headings":"","what":"Standardize Out-Of-Sample Predictions — pred_to_Z","title":"Standardize Out-Of-Sample Predictions — pred_to_Z","text":"Standardizes --sample predictions computing Fisher's Z transformed Correlation Coefficient analysts' --sample prediction estimates corresponding standard error.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pred_to_Z.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standardize Out-Of-Sample Predictions — pred_to_Z","text":"","code":"pred_to_Z(back_transformed_data, params, dataset)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pred_to_Z.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standardize Out-Of-Sample Predictions — pred_to_Z","text":"back_transformed_data dataframe tibble columns \"estimate\" \"se.fit\", containing yi SE\\(yi\\) values respectively response_variable_name character vector","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/pred_to_Z.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Standardize Out-Of-Sample Predictions — pred_to_Z","text":"pred_to_Z expects estimates response scale, link scale.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo","title":"Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo","text":"Prepare ManyEcoEvo raw dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo","text":"","code":"prepare_ManyEcoEvo(master_data_raw, master_raw_metadata, all_review_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo","text":"master_data_raw Raw data eucalyptus blue tit analyses master_raw_metadata Metadata describing master_data_raw all_review_data Review data datasets contained master_data_raw, generated prepare_review_data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare ManyEcoEvo raw dataset — prepare_ManyEcoEvo","text":"tibble ManyEcoEvo analyst response data effect-sizes ($Z_r$).","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo_yi.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare ManyEcoEvo raw dataset for out-of-sample predictions — prepare_ManyEcoEvo_yi","title":"Prepare ManyEcoEvo raw dataset for out-of-sample predictions — prepare_ManyEcoEvo_yi","text":"Prepare ManyEcoEvo raw dataset --sample predictions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo_yi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare ManyEcoEvo raw dataset for out-of-sample predictions — prepare_ManyEcoEvo_yi","text":"","code":"prepare_ManyEcoEvo_yi(   master_data_raw,   master_raw_metadata,   all_prediction_data )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo_yi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare ManyEcoEvo raw dataset for out-of-sample predictions — prepare_ManyEcoEvo_yi","text":"master_data_raw Raw data eucalyptus blue tit analyses master_raw_metadata Metadata describing master_data_raw all_prediction_data Prediction data datasets contained tibble all_review_data Review data datasets contained master_data_raw, generated prepare_review_data. ManyEcoEvo ManyEcoEvo data generated prepare_ManyEcoEvo","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_ManyEcoEvo_yi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare ManyEcoEvo raw dataset for out-of-sample predictions — prepare_ManyEcoEvo_yi","text":"tibble ManyEcoEvo analyst response data --sample predictions ($y_i$).","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_diversity_raw.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare diversity index data — prepare_diversity_raw","title":"Prepare diversity index data — prepare_diversity_raw","text":"Prepares data required calculating Sorensen diversity indices across analyses. \\(Non-targets function\\)","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_diversity_raw.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare diversity index data — prepare_diversity_raw","text":"","code":"prepare_diversity_raw(master_data_raw, master_raw_metadata)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_diversity_raw.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare diversity index data — prepare_diversity_raw","text":"master_data_raw Raw dataset eucalyptus blue tit data master_raw_metadata Metadata describing variable names master_data_raw","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_diversity_raw.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare diversity index data — prepare_diversity_raw","text":"tibble raw diversity index data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","title":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","text":"Prepare response variable data nested ManyEcoEvo dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","text":"","code":"prepare_response_variables(   ManyEcoEvo,   estimate_type = character(1L),   param_table = NULL )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","text":"ManyEcoEvo Complete ManyEcoEvo dataset containing nested datasets different analysis exclusion set dataset estimate_type character string length 1, equal either \"Zr\", \"yi\", \"y25\", \"y50\", \"y75\", indicating type estimates prepared. param_table table parameters \\(mean, sd\\) response variables used analysts. tibble pulled named object exported ManyEcoEvo::. can overwritten users's param_table dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","text":"tibble nested list-columns","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Prepare response variable data for nested ManyEcoEvo dataset — prepare_response_variables","text":"Operates nested list-columns data","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables_yi.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","title":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","text":"Prepare response variable data nested ManyEcoEvo dataset - sample predictions ","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables_yi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","text":"","code":"prepare_response_variables_yi(   ManyEcoEvo,   estimate_type = character(1L),   param_table = NULL )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables_yi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","text":"ManyEcoEvo Complete ManyEcoEvo dataset containing nested datasets different analysis exclusion set dataset estimate_type character string length 1, equal either \"yi\", \"y25\", \"y50\", \"y75\", indicating type estimates prepared. param_table table parameters \\(mean, sd\\) response variables used analysts. tibble pulled named object exported ManyEcoEvo::. can overwritten users's param_table dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables_yi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","text":"tibble nested list-columns","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_response_variables_yi.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Prepare response variable data for nested ManyEcoEvo dataset - out of sample predictions only — prepare_response_variables_yi","text":"Operates nested list-columns data","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_review_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare peer-review data from Qualtrics — prepare_review_data","title":"Prepare peer-review data from Qualtrics — prepare_review_data","text":"Prepare peer-review data Qualtrics","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_review_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare peer-review data from Qualtrics — prepare_review_data","text":"","code":"prepare_review_data(bt_reviews, euc_reviews)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_review_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare peer-review data from Qualtrics — prepare_review_data","text":"bt_reviews Blue tit review euc_reviews","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/prepare_review_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare peer-review data from Qualtrics — prepare_review_data","text":"tibble peer-review data blue tit eucalyptus analyses","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_prediction_files.html","id":null,"dir":"Reference","previous_headings":"","what":"Preprocess Prediction Files — preprocess_prediction_files","title":"Preprocess Prediction Files — preprocess_prediction_files","text":"Preprocess Prediction Files","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_prediction_files.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Preprocess Prediction Files — preprocess_prediction_files","text":"","code":"preprocess_prediction_files(predictions_validation, all_surveys)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_prediction_files.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Preprocess Prediction Files — preprocess_prediction_files","text":"predictions_validation dataframe containing outputs pointblank validation multiple sample prediction files all_surveys tibble analyst-data datasets","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_prediction_files.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Preprocess Prediction Files — preprocess_prediction_files","text":"pointblank check columns nested list-column checks, submission_id computed question, new_names replacement column names given new_names, filepath appended \"data-raw/analyst_data/S2\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_updated_prediction_files.html","id":null,"dir":"Reference","previous_headings":"","what":"Performs QA on re-submitted out-of-sample prediction files — preprocess_updated_prediction_files","title":"Performs QA on re-submitted out-of-sample prediction files — preprocess_updated_prediction_files","text":"Performs QA re-submitted --sample prediction files","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_updated_prediction_files.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Performs QA on re-submitted out-of-sample prediction files — preprocess_updated_prediction_files","text":"","code":"preprocess_updated_prediction_files(df = data.frame())"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_updated_prediction_files.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Performs QA on re-submitted out-of-sample prediction files — preprocess_updated_prediction_files","text":"df dataframe containing information new prediction files","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/preprocess_updated_prediction_files.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Performs QA on re-submitted out-of-sample prediction files — preprocess_updated_prediction_files","text":"tibble list-columns containing outputs point-blank checks","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/probit_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with probit-link — probit_back","title":"Back transform beta estimates for models with probit-link — probit_back","text":"Back transform beta estimates models probit-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/probit_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with probit-link — probit_back","text":"","code":"probit_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/probit_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with probit-link — probit_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/probit_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with probit-link — probit_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/read_submission_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Read out-of-sample-prediction analyst submission data — read_submission_data","title":"Read out-of-sample-prediction analyst submission data — read_submission_data","text":"Read --sample-prediction analyst submission data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/read_submission_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Read out-of-sample-prediction analyst submission data — read_submission_data","text":"","code":"read_submission_data(filepath)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/read_submission_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Read out-of-sample-prediction analyst submission data — read_submission_data","text":"filepath","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/read_submission_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Read out-of-sample-prediction analyst submission data — read_submission_data","text":"tibble sample prediction data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/rm_inf_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Removes infinite and NA values from a dataframe of standardised effects — rm_inf_na","title":"Removes infinite and NA values from a dataframe of standardised effects — rm_inf_na","text":"Removes infinite NA values dataframe standardised effects","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/rm_inf_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Removes infinite and NA values from a dataframe of standardised effects — rm_inf_na","text":"","code":"rm_inf_na(effects_analysis, Z_colname, VZ_colname)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/rm_inf_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Removes infinite and NA values from a dataframe of standardised effects — rm_inf_na","text":"effects_analysis  Z_colname unquoted bare column name Z Zr estimates VZ_colname unquoted bare column name containing VZ VZr estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/rm_inf_na.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Removes infinite and NA values from a dataframe of standardised effects — rm_inf_na","text":"dataframe without","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/run_model_checks.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform model checking on series of fitted models for different datasets, exclusion sets and estimate types — run_model_checks","title":"Perform model checking on series of fitted models for different datasets, exclusion sets and estimate types — run_model_checks","text":"Checks convergence, singularity heteroscedasticy","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/run_model_checks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform model checking on series of fitted models for different datasets, exclusion sets and estimate types — run_model_checks","text":"","code":"run_model_checks(data, model_name = character(0L))"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/run_model_checks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform model checking on series of fitted models for different datasets, exclusion sets and estimate types — run_model_checks","text":"data series fitted models stored list-columns different model_names, exclusion_sets, datasets estimate_types model_name character string model name extracted nested data frame. String must contained data$model_name","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/run_model_checks.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform model checking on series of fitted models for different datasets, exclusion sets and estimate types — run_model_checks","text":"tibble whose columns contain outcomes different model checks","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates for models with $x^2$-link — square_back","title":"Back transform beta estimates for models with $x^2$-link — square_back","text":"Back transform beta estimates models $x^2$-link","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates for models with $x^2$-link — square_back","text":"","code":"square_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates for models with $x^2$-link — square_back","text":"beta Analyst beta estimate se Standard error analyst's beta estimate. sim numeric vector length 1. number simulations.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates for models with $x^2$-link — square_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_root_back.html","id":null,"dir":"Reference","previous_headings":"","what":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back","text":"Back transform beta estimates --sample predictions models whose response variable transformed square root","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_root_back.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back","text":"","code":"square_root_back(beta, se, sim)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_root_back.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back","text":"beta Analyst beta estimate. Numeric vector length 1. se Standard error analyst's beta estimate. Numeric vector length 1. sim Number simulations. Numeric vector length 1.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/square_root_back.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Back transform beta estimates or out-of-sample predictions from models whose response variable has been transformed by the square root — square_root_back","text":"data frame containing mean estimate, standard error, quantiles","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/standardise_response.html","id":null,"dir":"Reference","previous_headings":"","what":"Standardise Response Variable — standardise_response","title":"Standardise Response Variable — standardise_response","text":"Standardise Response Variable","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/standardise_response.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standardise Response Variable — standardise_response","text":"","code":"standardise_response(   dat,   estimate_type = character(1L),   param_table = NULL,   dataset = character(1L) )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/standardise_response.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standardise Response Variable — standardise_response","text":"estimate_type type estimate standardised. Character vector length 1, whose value may \"Zr\", \"yi\", \"y25\", \"y50\", \"y75\". param_table table estimated 'population' parameters variable analysis datasets. dataset One either \"blue tit\" \"eucalyptus\" data","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/standardise_response.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Standardise Response Variable — standardise_response","text":"tibble analyst data standardised values contained list-column called 'back_transformed_data'","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_Zr.html","id":null,"dir":"Reference","previous_headings":"","what":"Subsetting Functions for Zr analysis — subset_fns_Zr","title":"Subsetting Functions for Zr analysis — subset_fns_Zr","text":"Generates list functions used subset processed ManyEcoEvo dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_Zr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subsetting Functions for Zr analysis — subset_fns_Zr","text":"","code":"subset_fns_Zr()"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_Zr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subsetting Functions for Zr analysis — subset_fns_Zr","text":"named list lambda functions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_yi.html","id":null,"dir":"Reference","previous_headings":"","what":"Subsetting Functions for yi analysis — subset_fns_yi","title":"Subsetting Functions for yi analysis — subset_fns_yi","text":"Generates list functions used subset processed ManyEcoEvo dataset containing --sample predictions \\(y\\_i\\)","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_yi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subsetting Functions for yi analysis — subset_fns_yi","text":"","code":"subset_fns_yi()"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/subset_fns_yi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subsetting Functions for yi analysis — subset_fns_yi","text":"named list lambda functions","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analyses_by_reviewer.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","title":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","text":"Summarise analyses reviewed reviewer","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analyses_by_reviewer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","text":"","code":"summarise_analyses_by_reviewer(review_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analyses_by_reviewer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","text":"review_data dataframe containing variables dataset, response_id, ReviewerId.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analyses_by_reviewer.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","text":"dataframe summarising mean, sd, min, max number reviews provided unique reviewer across analyses datasets review_data.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analyses_by_reviewer.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise analyses reviewed by reviewer — summarise_analyses_by_reviewer","text":"","code":"ManyEcoEvo %>% ungroup %>% select(data, -dataset) %>% unnest(data) %>% select(ends_with(\"_id\"), id_col, dataset, review_data) %>% unnest(review_data) %>% summarise_analyses_by_reviewer() #> # A tibble: 1 × 4 #>    mean    sd   min   max #>   <dbl> <dbl> <int> <int> #> 1  4.29  1.83     1    15"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Analysis Types — summarise_analysis_types","title":"Summarise Analysis Types — summarise_analysis_types","text":"Generates summary number analysis teams, total analyses, models normal error distributions, mixed effects models, models developed using Bayesian statistical methods given analysis type.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Analysis Types — summarise_analysis_types","text":"","code":"summarise_analysis_types(ManyEcoEvo_results, ManyEcoEvo_yi_results, ManyEcoEvo)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Analysis Types — summarise_analysis_types","text":"ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results ManyEcoEvo tibble ManyEcoEvo","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Analysis Types — summarise_analysis_types","text":"summarised tibble variables subset, dataset, num_teams, total_analyses, sum_linear, sum_mixed, sum_Bayesian.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarise Analysis Types — summarise_analysis_types","text":"Applies count_binary_coded_features() count_teams_analyses() generate data summaries.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise Analysis Types — summarise_analysis_types","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_analysis_types.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Analysis Types — summarise_analysis_types","text":"","code":"summarise_analysis_types(ManyEcoEvo_results, ManyEcoEvo_yi_results, ManyEcoEvo) #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> Warning: There was 1 warning in `mutate()`. #> ℹ In argument: `across(...)`. #> Caused by warning: #> ! NAs introduced by coercion #> Joining with `by = join_by(subset, dataset)` #> # A tibble: 4 × 8 #>   subset    dataset total_teams total_analyses sum_linear sum_mixed sum_Bayesian #>   <chr>     <chr>         <int>          <int>      <dbl>     <dbl>        <dbl> #> 1 effects   blue t…          63            132        125       129           10 #> 2 effects   eucaly…          40             79         15        62            5 #> 3 predicti… blue t…          43             65         60        64           10 #> 4 predicti… eucaly…           9             19          0        11            2 #> # ℹ 1 more variable: sum_glm <dbl>"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"Summarise counts qualitative conclusions across datasets","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"","code":"summarise_conclusions(ManyEcoEvo_results, ManyEcoEvo_yi_results, ManyEcoEvo)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results ManyEcoEvo tibble ManyEcoEvo","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"dataframe count values unique Conclusion columns subset (\"effects\", \"predictions\", \"\"), dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"Data summary generated summarise_conclusions_data().","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise counts of qualitative conclusions across all datasets — summarise_conclusions","text":"","code":"summarise_conclusions(ManyEcoEvo_results,ManyEcoEvo_yi_results,ManyEcoEvo) #> Warning: There was 1 warning in `mutate()`. #> ℹ In argument: `across(...)`. #> Caused by warning: #> ! NAs introduced by coercion #> # A tibble: 6 × 9 #>   subset      dataset    mixed neg_c neg_q none_c none_q pos_c pos_q #>   <chr>       <chr>      <int> <int> <int>  <int>  <int> <int> <int> #> 1 effects     blue tit       4    27    23      3      1     0     0 #> 2 effects     eucalyptus     5     3     5     14      6     1     2 #> 3 predictions blue tit       4    16    16      1      1     0     0 #> 4 predictions eucalyptus     2     0     2      1      2     0     0 #> 5 all         blue tit       5    37    27      4      1     0     0 #> 6 all         eucalyptus     8     6    12     19     12     2     4"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"Count qualitative conclusions across analyses dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"","code":"summarise_conclusions_data(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"data dataframe containing columns split_id, analysis_id, dataset, Conclusion","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"dataframe counts n unique value Conclusion dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_conclusions_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Count qualitative conclusions across all analyses for each dataset — summarise_conclusions_data","text":"","code":"ManyEcoEvo$data[[1]] %>% filter(Conclusion != \"CHECK\") %>% summarise_conclusions_data() #> # A tibble: 5 × 3 #>   dataset  Conclusion     n #>   <chr>    <chr>      <int> #> 1 blue tit mixed          5 #> 2 blue tit neg_c         37 #> 3 blue tit neg_q         27 #> 4 blue tit none_c         4 #> 5 blue tit none_q         1"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Model Composition — summarise_model_composition","title":"Summarise Model Composition — summarise_model_composition","text":"Calculate descriptive statistics (mean, sd, min, max) number fixed effects, number random effects, number interactions sample size models dataset across sample predictions standardized corelation coefficients.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Model Composition — summarise_model_composition","text":"","code":"summarise_model_composition(   ManyEcoEvo_results,   ManyEcoEvo_yi_results,   ManyEcoEvo )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Model Composition — summarise_model_composition","text":"ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results ManyEcoEvo tibble ManyEcoEvo","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Model Composition — summarise_model_composition","text":"dataframe","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarise Model Composition — summarise_model_composition","text":"Generates summary data summarise_model_composition_data().","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise Model Composition — summarise_model_composition","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Model Composition — summarise_model_composition","text":"","code":"summarise_model_composition(ManyEcoEvo_results, ManyEcoEvo_yi_results, ManyEcoEvo) #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> Warning: There was 1 warning in `mutate()`. #> ℹ In argument: `across(...)`. #> Caused by warning: #> ! NAs introduced by coercion #> # A tibble: 96 × 5 #>    subset  dataset  variable     fn     value #>    <chr>   <chr>    <chr>        <chr>  <dbl> #>  1 effects blue tit fixed        mean   5.20  #>  2 effects blue tit fixed        sd     2.92  #>  3 effects blue tit fixed        min    1     #>  4 effects blue tit fixed        max   19     #>  5 effects blue tit random       mean   3.53  #>  6 effects blue tit random       sd     2.08  #>  7 effects blue tit random       min    0     #>  8 effects blue tit random       max   10     #>  9 effects blue tit interactions mean   0.435 #> 10 effects blue tit interactions sd     1.11  #> # ℹ 86 more rows"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"Summarise model composition single dataframe sample predictions effect sizes","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"","code":"summarise_model_composition_data(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"data dataframe variables dataset, num_fixed_effects, num_random_effects, num_interactions, sample_size","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"dataframe tidy format yielding descriptive summary statistics (mean, sd, min max) key variables described data, includes variables subset, dataset, variable, fn, value","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_model_composition_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise model composition for a single dataframe of out of sample predictions or out or effect sizes — summarise_model_composition_data","text":"","code":"ManyEcoEvo %>%  ungroup %>%  filter(dataset == \"blue tit\") %>%  select(data) %>%  unnest(data) %>%  summarise_model_composition_data() #> # A tibble: 1 × 17 #>   dataset  fixed_mean fixed_sd fixed_min fixed_max random_mean random_sd #>   <chr>         <dbl>    <dbl>     <dbl>     <dbl>       <dbl>     <dbl> #> 1 blue tit       5.28     3.02         1        19        3.64      2.37 #> # ℹ 10 more variables: random_min <dbl>, random_max <dbl>, #> #   interactions_mean <dbl>, interactions_sd <dbl>, interactions_min <dbl>, #> #   interactions_max <dbl>, n_mean <dbl>, n_sd <dbl>, n_min <dbl>, n_max <dbl>"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Peer-Reviews — summarise_reviews","title":"Summarise Peer-Reviews — summarise_reviews","text":"Calculates summary statistics (mean, sd, min, max) number analyses peer-reviewed reviewer, number reviews received analysis.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Peer-Reviews — summarise_reviews","text":"","code":"summarise_reviews(ManyEcoEvo, ManyEcoEvo_results, ManyEcoEvo_yi_results)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Peer-Reviews — summarise_reviews","text":"ManyEcoEvo tibble ManyEcoEvo ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Peer-Reviews — summarise_reviews","text":"named list length two summarised_data_analyses containing tibble summary statistics outcome subset (effects predictions) generated summarise_analyses_by_reviewer(), summarised_data_reviews containing tibble sumary statistics outcome subset, dataset generated summarise_reviews_per_analysis().","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise Peer-Reviews — summarise_reviews","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Peer-Reviews — summarise_reviews","text":"","code":"summarise_reviews(ManyEcoEvo, ManyEcoEvo_results,ManyEcoEvo_yi_results) #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> $summarised_data_analyses #> # A tibble: 2 × 5 #>   subset       mean    sd   min   max #>   <chr>       <dbl> <dbl> <int> <int> #> 1 effects      3.30  1.68     1    11 #> 2 predictions  2.27  1.18     1     6 #>  #> $summarised_data_reviews #> # A tibble: 4 × 6 #>   subset      dataset     mean    sd   min   max #>   <chr>       <chr>      <dbl> <dbl> <int> <int> #> 1 effects     blue tit    3.87 0.707     3     5 #> 2 effects     eucalyptus  4.24 0.790     3     6 #> 3 predictions blue tit    3.86 0.734     3     5 #> 4 predictions eucalyptus  4.6  0.966     3     6 #>"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews_per_analysis.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise reviews per each analysis — summarise_reviews_per_analysis","title":"Summarise reviews per each analysis — summarise_reviews_per_analysis","text":"Summarise reviews per analysis","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews_per_analysis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise reviews per each analysis — summarise_reviews_per_analysis","text":"","code":"summarise_reviews_per_analysis(review_data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews_per_analysis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise reviews per each analysis — summarise_reviews_per_analysis","text":"review_data dataframe containing variables dataset, response_id, ReviewerId.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews_per_analysis.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise reviews per each analysis — summarise_reviews_per_analysis","text":"dataframe variables dataset, mean, sd, min, max number times analysis reviewed","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_reviews_per_analysis.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise reviews per each analysis — summarise_reviews_per_analysis","text":"","code":"ManyEcoEvo %>% ungroup %>% select(data, -dataset) %>% unnest(data) %>% select(ends_with(\"_id\"), id_col, dataset, review_data) %>% unnest(review_data) %>% summarise_reviews_per_analysis() #> # A tibble: 2 × 5 #>   dataset     mean    sd   min   max #>   <chr>      <dbl> <dbl> <int> <int> #> 1 blue tit    3.86 0.773     2     6 #> 2 eucalyptus  4.03 0.880     2     6"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"Summarise Mean Sorensen's Index Estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"","code":"summarise_sorensen_index(ManyEcoEvo_results, ManyEcoEvo_yi_results)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"tibble aggregate summary statistics (mean, sd, min, max) mean Sorensen's index estimates across subset dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"Generates data summary summarise_sorensen_index_data().","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Mean Sorensen's Index Estimates — summarise_sorensen_index","text":"","code":"summarise_sorensen_index(ManyEcoEvo_results,ManyEcoEvo_yi_results) #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> # A tibble: 4 × 6 #>   subset      dataset     mean     sd   min   max #>   <chr>       <chr>      <dbl>  <dbl> <dbl> <dbl> #> 1 predictions blue tit   0.569 0.0733 0.429 0.743 #> 2 predictions eucalyptus 0.665 0.0752 0.529 0.784 #> 3 effects     blue tit   0.595 0.0958 0.434 0.859 #> 4 effects     eucalyptus 0.690 0.0839 0.548 0.982"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","title":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","text":"Summarises Sorensen's index estimates single dataframe estimates","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","text":"","code":"summarise_sorensen_index_data(data)"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","text":"data dataframe containing mean_diversity_index Sorensen's index estimates analysis id_col, dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","text":"dataframe mean, sd, min, max mean Sorensen's index values dataset.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_sorensen_index_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Sorensen's Mean Index Estimates for a dataframe — summarise_sorensen_index_data","text":"","code":"ManyEcoEvo_results %>% filter(exclusion_set == \"complete\",       publishable_subset == \"All\",       expertise_subset == \"All\") %>%  ungroup %>%  select(dataset, diversity_indices) %>%  unnest(diversity_indices) %>%   summarise_sorensen_index_data() #> # A tibble: 2 × 5 #>   dataset     mean     sd   min   max #>   <chr>      <dbl>  <dbl> <dbl> <dbl> #> 1 blue tit   0.595 0.0958 0.434 0.859 #> 2 eucalyptus 0.690 0.0839 0.548 0.982"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise variable usage across analyses — summarise_variable_counts","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"Using count_analyses_variables_used() calculates counts analyses variable used given dataset. summarisation counts ( mean, sd, min max) optional, see details.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"","code":"summarise_variable_counts(   ManyEcoEvo,   ManyEcoEvo_results,   ManyEcoEvo_yi_results,   output = \"count\" )"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"ManyEcoEvo tibble ManyEcoEvo ManyEcoEvo_results tibble ManyEcoEvo_results ManyEcoEvo_yi_results tibble ManyEcoEvo_yi_results output length 1 character vector equal \"count\" \"aggregate\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"dataframe count values n summary statistic values n_mean,n_sd,n_min,n_max counts depending value supplied output argument.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"calculate count values, supply \"count\" argument output. calculate summary statistics counts, supply \"aggregate\" argument output instead.","code":""},{"path":[]},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"Hannah S. Fraser Elliot Gould","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/summarise_variable_counts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise variable usage across analyses — summarise_variable_counts","text":"","code":"summarise_variable_counts(ManyEcoEvo, ManyEcoEvo_results, ManyEcoEvo_yi_results, \"count\") #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> # A tibble: 666 × 4 #>    subset  dataset  variable                        n #>    <chr>   <chr>    <chr>                       <dbl> #>  1 effects blue tit hatch_year                    101 #>  2 effects blue tit hatch_nest_breed_ID            67 #>  3 effects blue tit hatch_Area                     25 #>  4 effects blue tit hatch_Box                       6 #>  5 effects blue tit hatch_mom_Ring                 36 #>  6 effects blue tit hatch_nest_dad_Ring             4 #>  7 effects blue tit Extra-pair_paternity            6 #>  8 effects blue tit Extra-pair_dad_ring             0 #>  9 effects blue tit genetic_dad_ring_(WP_or_EP)    19 #> 10 effects blue tit hatch_nest_LD                  24 #> # ℹ 656 more rows  summarise_variable_counts(ManyEcoEvo, ManyEcoEvo_results, ManyEcoEvo_yi_results, \"aggregate\") #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set`, #> `publishable_subset`, `expertise_subset` #> Adding missing grouping variables: `estimate_type`, `dataset`, `exclusion_set` #> # A tibble: 6 × 6 #> # Groups:   dataset [2] #>   dataset    subset      n_mean  n_sd n_min n_max #>   <chr>      <chr>        <dbl> <dbl> <dbl> <dbl> #> 1 blue tit   all         12.2   25.8      0   120 #> 2 blue tit   effects      9.64  21.1      0   101 #> 3 blue tit   predictions  5.09  11.0      0    53 #> 4 eucalyptus all          8.88  16.2      0    77 #> 5 eucalyptus effects      4.74   9.98     0    55 #> 6 eucalyptus predictions  0.955  2.30     0    12"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate predictions conditioned on dataset — validate_predictions","title":"Validate predictions conditioned on dataset — validate_predictions","text":"Validate predictions conditioned dataset","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate predictions conditioned on dataset — validate_predictions","text":"","code":"validate_predictions(data_set, input, type = \"filepath\")"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate predictions conditioned on dataset — validate_predictions","text":"data_set dataset analysed, either \"blue tit\" \"eucalyptus\" input tibble sample predictions augmented, .e. checked updated type character string length 1, equal either \"filepath\" \"df\". Defaults \"filepath\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate predictions conditioned on dataset — validate_predictions","text":"object class \"pointblank_agent\", yet interrogated.","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_blue_tit.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate out of sample predictions for blue tit dataset with pointblank package — validate_predictions_df_blue_tit","title":"Validate out of sample predictions for blue tit dataset with pointblank package — validate_predictions_df_blue_tit","text":"Validate sample predictions blue tit dataset pointblank package","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_blue_tit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate out of sample predictions for blue tit dataset with pointblank package — validate_predictions_df_blue_tit","text":"","code":"validate_predictions_df_blue_tit(input, type = \"filepath\")"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_blue_tit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate out of sample predictions for blue tit dataset with pointblank package — validate_predictions_df_blue_tit","text":"input Either filepath dataframe, corresponding type argument specification type character string length 1, equal either \"filepath\" \"df\". Defaults \"filepath\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_blue_tit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate out of sample predictions for blue tit dataset with pointblank package — validate_predictions_df_blue_tit","text":"pointblank agent, class \"ptblank_agent\", yet interrogated","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_euc.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate out of sample predictions for eucalytpus dataset with pointblank package — validate_predictions_df_euc","title":"Validate out of sample predictions for eucalytpus dataset with pointblank package — validate_predictions_df_euc","text":"Validate sample predictions eucalytpus dataset pointblank package","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_euc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate out of sample predictions for eucalytpus dataset with pointblank package — validate_predictions_df_euc","text":"","code":"validate_predictions_df_euc(input, type = \"filepath\")"},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_euc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate out of sample predictions for eucalytpus dataset with pointblank package — validate_predictions_df_euc","text":"input Either filepath dataframe, corresponding type argument specification type character string length 1, equal either \"filepath\" \"df\". Defaults \"filepath\"","code":""},{"path":"https://egouldo.github.io/ManyEcoEvo/reference/validate_predictions_df_euc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate out of sample predictions for eucalytpus dataset with pointblank package — validate_predictions_df_euc","text":"pointblank agent, class \"ptblank_agent\", yet interrogated","code":""}]
diff --git a/sitemap.xml b/sitemap.xml
index 06b0e81..352f3de 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -201,6 +201,12 @@
   <url>
     <loc>https://egouldo.github.io/ManyEcoEvo/reference/plot_effects_diversity.html</loc>
   </url>
+  <url>
+    <loc>https://egouldo.github.io/ManyEcoEvo/reference/plot_model_means_box_cox_cat.html</loc>
+  </url>
+  <url>
+    <loc>https://egouldo.github.io/ManyEcoEvo/reference/plot_model_means_orchard.html</loc>
+  </url>
   <url>
     <loc>https://egouldo.github.io/ManyEcoEvo/reference/power_back.html</loc>
   </url>