update README with new badges

README.Rmd

@@ -16,6 +16,8 @@ knitr::opts_chunk$set(
 [![](https://cranlogs.r-pkg.org/badges/tidyLPA)](https://cran.r-project.org/package=tidyLPA)
 [![lifecycle](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html)
 [![DOI](http://joss.theoj.org/papers/10.21105/joss.00978/status.svg)](https://doi.org/10.21105/joss.00978)
+[![R-CMD-check](https://github.com/data-edu/tidyLPA/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/data-edu/tidyLPA/actions/workflows/R-CMD-check.yaml)
+[![codecov](https://codecov.io/gh/data-edu/tidyLPA/graph/badge.svg?token=mNzn6tyjzS)](https://codecov.io/gh/data-edu/tidyLPA)
 
 ## Background
 

README.md

@@ -6,8 +6,8 @@ status](https://www.r-pkg.org/badges/version/tidyLPA)](https://cran.r-project.or
 [![](https://cranlogs.r-pkg.org/badges/tidyLPA)](https://cran.r-project.org/package=tidyLPA)
 [![lifecycle](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html)
 [![DOI](http://joss.theoj.org/papers/10.21105/joss.00978/status.svg)](https://doi.org/10.21105/joss.00978)
-[![R-CMD-check](https://github.com/data-edu/tidyLPA/workflows/R-CMD-check/badge.svg)](https://github.com/data-edu/tidyLPA/actions)
-[![test-coverage](https://github.com/data-edu/tidyLPA/workflows/test-coverage/badge.svg)](https://github.com/data-edu/tidyLPA/actions)
+[![R-CMD-check](https://github.com/data-edu/tidyLPA/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/data-edu/tidyLPA/actions/workflows/R-CMD-check.yaml)
+[![codecov](https://codecov.io/gh/data-edu/tidyLPA/graph/badge.svg?token=mNzn6tyjzS)](https://codecov.io/gh/data-edu/tidyLPA)
 
 ## Background
 
@@ -70,7 +70,7 @@ pisaUSA15[1:100, ] %>%
 #> tidyLPA analysis using mclust: 
 #> 
 #>  Model Classes AIC    BIC    Entropy prob_min prob_max n_min n_max BLRT_p
-#>  1     3       629.72 666.20 0.80    0.84     0.95     0.04  0.67  0.01
+#>  1     3       634.79 671.27 0.64    0.76     0.86     0.18  0.51  0.05
 ```
 
 A simple summary of the analysis is printed to the console (and its
@@ -79,10 +79,10 @@ posterior probability).
 The resulting object can be further passed down a pipeline to other
 functions, such as:
 
--   `plot_profiles()`
--   `compare_solutions()`
--   `get_data()`
--   `get_fit()`
+- `plot_profiles()`
+- `compare_solutions()`
+- `get_data()`
+- `get_fit()`
 
 This is the “tidy” part, in that the function can be embedded in a tidy
 analysis pipeline.
@@ -104,13 +104,13 @@ pisaUSA15[1:100, ] %>%
 
 To learn more, we highly recommend the following:
 
--   Browse the tidyLPA [website](https://data-edu.github.io/tidyLPA/)
-    (especially check out the Reference page to see more about other
-    functions)
--   *Read the Introduction to tidyLPA*
-    [vignette](https://data-edu.github.io/tidyLPA/articles/Introduction_to_tidyLPA.html),
-    which has much more information on the models that can be specified
-    with tidyLPA and on additional functionality
+- Browse the tidyLPA [website](https://data-edu.github.io/tidyLPA/)
+  (especially check out the Reference page to see more about other
+  functions)
+- *Read the Introduction to tidyLPA*
+  [vignette](https://data-edu.github.io/tidyLPA/articles/Introduction_to_tidyLPA.html),
+  which has much more information on the models that can be specified
+  with tidyLPA and on additional functionality
 
 ## Citing tidyLPA
 
@@ -126,11 +126,10 @@ One of the easiest but also most important ways to contribute is to post
 a question or to provide feedback. Both positive *and* negative feedback
 is welcome and helpful. You can get in touch by:
 
--   Sending a message via <[email protected]> or view the [the
-    tidyLPA group page](https://groups.google.com/forum/#!forum/tidylpa)
+- Sending a message via <[email protected]> or view the [the
+  tidyLPA group page](https://groups.google.com/forum/#!forum/tidylpa)
 
--   Filing an issue on GitHub
-    [here](https://github.com/data-edu/tidyLPA)
+- Filing an issue on GitHub [here](https://github.com/data-edu/tidyLPA)
 
 Contributions are also welcome via by making pull requests (PR),
 e.g. through [this page on
@@ -148,7 +147,7 @@ By participating in this project you agree to abide by its terms.
 ## Acknowledgments
 
 This material is based upon work supported by the National Science
-Foundation under *Grant No.: DRL\#1661064*. Any opinions, findings,
+Foundation under *Grant No.: DRL#1661064*. Any opinions, findings,
 conclusions, or recommendations expressed in this material are those of
 the authors and do not reflect the views of the National Science
 Foundation.