Add badges

README.Rmd

@@ -17,8 +17,13 @@ knitr::opts_chunk$set(
 
 <!-- badges: start -->
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/AcceptReject)](https://cran.r-project.org/package=AcceptReject)
-<!-- [![Codecov test coverage](https://codecov.io/gh/tidyverse/purrr/branch/master/graph/badge.svg)](https://app.codecov.io/gh/tidyverse/purrr?branch=master) -->
+
 [![R-CMD-check](https://github.com/prdm0/AcceptReject/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/prdm0/AcceptReject/actions/workflows/R-CMD-check.yaml)
+
+[![Licence](https://img.shields.io/badge/licence-GPL--3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html)
+
+<!-- [![Codecov test coverage](https://codecov.io/gh/tidyverse/purrr/branch/master/graph/badge.svg)](https://app.codecov.io/gh/tidyverse/purrr?branch=master) -->
+
 <!-- badges: end -->
 
 Generating pseudo-random observations from a probability distribution is a common task in statistics. Being able to generate pseudo-random observations from a probability distribution is useful for simulating scenarios, in [Monte-Carlo](https://en.wikipedia.org/wiki/Monte_Carlo_method) methods, which are useful for evaluating various statistical models.

README.md

@@ -6,8 +6,12 @@
 <!-- badges: start -->
 
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/AcceptReject)](https://cran.r-project.org/package=AcceptReject)
-<!-- [![Codecov test coverage](https://codecov.io/gh/tidyverse/purrr/branch/master/graph/badge.svg)](https://app.codecov.io/gh/tidyverse/purrr?branch=master) -->
+
 [![R-CMD-check](https://github.com/prdm0/AcceptReject/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/prdm0/AcceptReject/actions/workflows/R-CMD-check.yaml)
+
+[![Licence](https://img.shields.io/badge/licence-GPL--3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html)
+
+<!-- [![Codecov test coverage](https://codecov.io/gh/tidyverse/purrr/branch/master/graph/badge.svg)](https://app.codecov.io/gh/tidyverse/purrr?branch=master) -->
 <!-- badges: end -->
 
 Generating pseudo-random observations from a probability distribution is
@@ -285,7 +289,7 @@ case_1 <- accept_reject(
  xlim = c(0, 10)
 )
 toc()
-#> 5.439 sec elapsed
+#> 6.838 sec elapsed
 
 # Specifying the base probability density function
 tic()
@@ -301,7 +305,7 @@ case_2 <- accept_reject(
  c = 1.2
 )
 toc()
-#> 2.586 sec elapsed
+#> 2.581 sec elapsed
 
 # Visualizing the results
 p1 <- case_1 |> plot()

docs/pkgdown.yml

@@ -4,5 +4,5 @@ pkgdown_sha: ~
 articles:
  accept_reject: accept_reject.html
  inspect: inspect.html
-last_built: 2024-04-14T19:39Z
+last_built: 2024-04-14T19:47Z