diff --git a/DESCRIPTION b/DESCRIPTION index 79bd39e..f63e482 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -2,7 +2,7 @@ Package: pcadapt Type: Package Title: Fast Principal Component Analysis for Outlier Detection Version: 4.4.0 -Date: 2024-04-15 +Date: 2024-09-24 Authors@R: c( person("Keurcien", "Luu", role = "aut"), person("Michael", "Blum", role = "aut"), diff --git a/README.md b/README.md index a1aa5a6..6e51ef3 100644 --- a/README.md +++ b/README.md @@ -1,17 +1,17 @@ -# pcadapt - [![DOI](https://zenodo.org/badge/doi/10.1093/molbev/msaa053.svg)](https://doi.org/10.1093/molbev/msaa053) -[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/pcadapt)](https://cran.r-project.org/package=pcadapt) +[![CRAN status](https://www.r-pkg.org/badges/version/pcadapt)](https://CRAN.R-project.org/package=pcadapt) [![R-CMD-check](https://github.com/bcm-uga/pcadapt/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/bcm-uga/pcadapt/actions/workflows/R-CMD-check.yaml) -R package {pcadapt} has been developed to detect genetic markers involved in biological adaptation. +# pcadapt + +R package {pcadapt} was developed to detect genetic markers involved in biological adaptation. This package uses statistical tools for outlier detection based on Principal Component Analysis (PCA). A tutorial for {pcadapt} is available on [pcadapt's website](https://bcm-uga.github.io/pcadapt/articles/pcadapt.html). -**News:** A new paper is finally out describing version 4 of pcadapt (which has been available for quite some time now). Please cite the new paper. +**News:** Our paper describing version 4 of pcadapt (which has been available for quite some time now) is out. Please cite the newest paper (see Refs below). ## Installation diff --git a/docs/articles/pcadapt.html b/docs/articles/pcadapt.html index 1001ab2..9c189de 100644 --- a/docs/articles/pcadapt.html +++ b/docs/articles/pcadapt.html @@ -167,10 +167,10 @@
## Warning: The `<scale>` argument of `guides()` cannot be `FALSE`. Use "none" instead as
## of ggplot2 3.3.4.
## ℹ The deprecated feature was likely used in the pcadapt package.
-## Please report the issue at <
-## This warning is displayed once every 8 hours.
-## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
-## generated.
+## Please report the issue at <https://github.com/bcm-uga/pcadapt/issues>.
+## This warning is displayed once every 8 hours.
+## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
+## generated.
By default, the number of principal components shown in the scree
plot is K
, but it can be reduced via the argument
@@ -353,10 +353,10 @@
## Warning: The dot-dot notation (`..density..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(density)` instead.
## ℹ The deprecated feature was likely used in the pcadapt package.
-## Please report the issue at <
-## This warning is displayed once every 8 hours.
-## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
-## generated.
+## Please report the issue at <https://github.com/bcm-uga/pcadapt/issues>.
+## This warning is displayed once every 8 hours.
+## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
+## generated.
R package {pcadapt} has been developed to detect genetic markers involved in biological adaptation. This package uses statistical tools for outlier detection based on Principal Component Analysis (PCA).
+R package {pcadapt} was developed to detect genetic markers involved in biological adaptation. This package uses statistical tools for outlier detection based on Principal Component Analysis (PCA).
A tutorial for {pcadapt} is available on pcadapt’s website.
-News: A new paper is finally out describing version 4 of pcadapt (which has been available for quite some time now). Please cite the new paper.
+News: Our paper describing version 4 of pcadapt (which has been available for quite some time now) is out. Please cite the newest paper (see Refs below).