R Observatory: Metrics for AcceptReject version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

AcceptReject

0.1.2Package record

Acceptance-Rejection Method for Generating Pseudo-Random Observations

0packages depend

8Kdownloads / year

62.1%test coverage

13/13flavors OK

Overview

About

Maintained by Pedro Rafael D. MarinhoCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides a function that implements the acceptance-rejection method in an optimized manner to generate pseudo-random observations for discrete or continuous random variables. Proposed by von Neumann J. (1951), https://mcnp.lanl.gov/pdf_files/, 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. Implementation is based on references CASELLA, George at al. (2004) https://www.jstor.org/stable/4356322, NEAL, Radford M. (2003) https://www.jstor.org/stable/3448413 and Bishop, Christopher M. (2006, ISBN: 978-0387310732).

Changes in 0.1.2

The performance of the one_step() function, an internal function used in the implementation of C++ using Rcpp, has been improved;
The method qqplot.accept_reject() has been added, which constructs the QQ-Plot of an object of class accept_reject returned by the function accept_reject();
The qqplot.accept_reject() function utilizes the **scattermore** package if the point density is high, i.e., above 10 thousand observations;
The function accept_reject() now has the argument cores, which allows the user to control the number of cores that will be used if parallel = TRUE. The default, cores = NULL, means that all processor cores will be used. If parallel = FALSE, the cores argument is ignored;
The DESCRIPTION file was edited;
Another bibliographic reference was added to the accept_reject() function;
The dependency on the lbfgs package has been removed;
New unit tests have been introduced;
Bug fix.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("AcceptReject", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("prdm0/AcceptReject")

Development version from prdm0/AcceptReject. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-acceptreject

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-AcceptReject

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-AcceptReject

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.3 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

READMEYes · 1,298 wordsVignettesYes · 3 · dynamicNEWSYes · 67% structured · mentions 0.1.2Citation fileNoWebsiteYes · pkgdown

Help pages: 6
Examples that run: 100%5 run in a plain check
Exported functions with examples: 67%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 17%

Vignettes (3)

Acceptance and rejection method HTML
QQ-Plot HTML
Specifying a base probability density function HTML

How these are measured

Downloads

8K

CRAN downloads in the past year

Rank #4,874 · ~22/day · ~669/mo

Releases R versions

Daily download trend is not available in this view yet.

54930 days

1.7K90 days

8K1 year

Compare downloads with other packages →

Also on384 r2u36 autocran

How downloads are counted

Repository

prdm0/acceptreject ↗Account: prdm0

2Stars

0Forks

0Open issues

0Open PRs

0Releases

68Commits

1Commit identities

monte-carlomonte-carlo-simulationpackagerrejection-samplingrstatsstatistics-library

License file reads as GPL-3.0 · 68 commits · Last activity 2024-05-22 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2025-09-19 · 22026-07-07 · 2

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/prdm0/acceptreject on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2024-05-22 · The repository has a site deploy workflow

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Installing AcceptReject adds 24 packages (12 with compiled code, 17 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (0)

none

Imports (10)

assertthat cli ggplot2 glue numDeriv purrr Rcpp rlang scales scattermore

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (5)

knitr rmarkdown cowplot tictoc testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Pedro Rafael D. Marinho

Author, Maintainer since 0.1.0 (2024)

Vera Lucia Damasceno Tomazella

Contributor

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.2Latest
record
2024-05-07 · current release · diff ↗ ·
added 1 export
qqplot
0.1.1
record
2024-04-24 · diff ↗ ·
added 1 export
inspect
R
R 4.4.0 released · 2024-04-24
0.1.0
record
2024-04-11
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-04-11
Total releases: 3 / 2 yrs
License: GPL (>= 3) OSI
Download size: 721 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("AcceptReject")

Format

Marinho, P. R. D., & Tomazella, V. L. D. (2024). AcceptReject: Acceptance-Rejection Method for Generating Pseudo-Random Observations (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.AcceptReject

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for AcceptReject version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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