Update website, README.Rmd and DESCRIPTION file

.Rbuildignore

@@ -7,3 +7,7 @@
 ^img$
 ^logo\.png$
 ^pkgdown$
+^doc$
+^Meta$
+^CRAN-SUBMISSION$
+^cran-comments\.md$

.gitignore

@@ -4,3 +4,5 @@
 .httr-oauth
 .DS_Store
 .quarto
+/doc/
+/Meta/

CRAN-SUBMISSION

@@ -0,0 +1,3 @@
+Version: 0.1.0
+Date: 2024-04-09 12:46:41 UTC
+SHA: 1887c8683f4223991bb88bf5ee95a2c4e48c2f1b

DESCRIPTION

@@ -7,16 +7,20 @@ Authors@R: c(
     person("Vera Lucia Damasceno", "Tomazella", , "vera@ufscar.br", role = c("aut"),
            comment = c(ORCID = "0000-0002-6780-2089"))
   )
-Description: The package provides a function that implements the acceptance-rejection method in an optimized manner to generate pseudo-random observations for discrete or continuous random variables. The function is optimized to work in parallel on Unix-based operating systems (Linux and MacOS) and performs well on Windows systems. The acceptance-rejection method implemented optimizes the probability of generating observations from the desired random variable, by simply providing the probability function or probability density function, in the discrete and continuous cases, respectively.
+Description: Provides a function that implements the acceptance-rejection method in an optimized manner to generate pseudo-random observations for discrete or continuous random variables. The function is optimized to work in parallel on Unix-based operating systems and performs well on Windows systems. The acceptance-rejection method implemented optimizes the probability of generating observations from the desired random variable, by simply providing the probability function or probability density function, in the discrete and continuous cases, respectively.
 License: GPL (>= 3)
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE)
-URL: https://prdm0.github.io/AcceptReject
-BugReports: https://github.com/prdm0/AcceptReject/issues
+URL: https://prdm0.github.io/AcceptReject/
+BugReports: https://github.com/prdm0/AcceptReject/issues/
 RoxygenNote: 7.2.3
+VignetteBuilder: knitr
 Imports: 
     lbfgs,
     numDeriv,
     pbmcapply,
     purrr,
     rlang
+Suggests: 
+    knitr,
+    rmarkdown

R/accept_reject.r

@@ -55,6 +55,10 @@
 #'
 #' @seealso [parallel::mclapply()] and [lbfgs::lbfgs()].
 #'
+#' @references CASELLA, George; ROBERT, Christian P.; WELLS, Martin T. Generalized accept-reject sampling schemes. Lecture Notes-Monograph Series, p. 342-347, 2004.
+#' @references NEAL, Radford M. Slice sampling. The annals of statistics, v. 31, n. 3, p. 705-767, 2003.
+#' @references BISHOP, Christopher. 11.4: Slice sampling. Pattern Recognition and Machine Learning. Springer, 2006.
+#'
 #' @examples
 #' set.seed(0) # setting a seed for reproducibility
 #'

README.Rmd

@@ -36,19 +36,19 @@ Since the probability of acceptance is $1/c$, the `AcceptReject::accept_reject()
 
 ## Installation
 
-The package is being versioned on GitHub. You can install the development version of [AcceptReject](https://github.com/prdm0/AcceptReject), and to do this, you must first install the [remotes](https://cran.r-project.org/web/packages/remotes/index.html) package and then run the following command:
+The package is being versioned on GitHub. You can install the development version of [AcceptReject](https://github.com/prdm0/AcceptReject), and to do this, you must first install the [remotes](https://CRAN.R-project.org/package=remotes) package and then run the following command:
 
 ``` r
 # install.packages("remotes")
-remotes::install_github("prdm0/AcceptReject", force = TRUE)
+# or remotes::install_github("prdm0/AcceptReject", force = TRUE)
 library(AcceptReject)
 ```
 
 The `force = TRUE` argument is not necessary. It is only needed in situations where you have already installed the package and want to reinstall it to have a new version.
 
 ## Examples
 
-Please note the examples below on how to use the `AcceptReject::accept_reject()` function to generate pseudo-random observations of discrete and continuous random variables. For further details, refer to the function's documentation [**Reference**](reference/index.html) and the [**Vignette**](articles/accept_reject.htmll).
+Please note the examples below on how to use the `AcceptReject::accept_reject()` function to generate pseudo-random observations of discrete and continuous random variables. For further details, refer to the function's documentation [**Reference**](reference/index.html) and the [**Vignette**](articles/accept_reject.html).
 
 ### Generating discrete observations
 

README.md

@@ -78,12 +78,12 @@ The package is being versioned on GitHub. You can install the
 development version of
 [AcceptReject](https://github.com/prdm0/AcceptReject), and to do this,
 you must first install the
-[remotes](https://cran.r-project.org/web/packages/remotes/index.html)
-package and then run the following command:
+[remotes](https://CRAN.R-project.org/package=remotes) package and then
+run the following command:
 
 ``` r
 # install.packages("remotes")
-remotes::install_github("prdm0/AcceptReject", force = TRUE)
+# or remotes::install_github("prdm0/AcceptReject", force = TRUE)
 library(AcceptReject)
 ```
 
@@ -98,7 +98,7 @@ Please note the examples below on how to use the
 observations of discrete and continuous random variables. For further
 details, refer to the function’s documentation
 [**Reference**](reference/index.html) and the
-[**Vignette**](articles/accept_reject.htmll).
+[**Vignette**](articles/accept_reject.html).
 
 ### Generating discrete observations
 

_pkgdown.yml

@@ -1,3 +1,5 @@
 template:
   bootstrap: 5
   bootswatch: litera
+  params:
+    mathjax: "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_HTMLorMML"

cran-comments.md

@@ -0,0 +1,5 @@
+## R CMD check results
+
+0 errors | 0 warnings | 1 note
+
+* This is a new release.