R Observatory: Metrics for PoissonBinomial version 1.2.8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

PoissonBinomial

1.2.8

Efficient Computation of Ordinary and Generalised Poisson Binomial Distributions

5packages depend

33Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Florian JungeFirst published 2020-01-2217 releasesCRAN page ↗GitHub ↗

Efficient implementations of multiple exact and approximate methods as described in Hong (2013) doi:10.1016/j.csda.2012.10.006, Biscarri, Zhao & Brunner (2018) doi:10.1016/j.csda.2018.01.007 and Zhang, Hong & Balakrishnan (2018) doi:10.1080/00949655.2018.1440294 for computing the probability mass, cumulative distribution and quantile functions, as well as generating random numbers for both the ordinary and generalised Poisson binomial distribution.

Install

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

install.packages("PoissonBinomial", 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("fj86/PoissonBinomial")

Development version from fj86/PoissonBinomial. 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-poissonbinomial

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-PoissonBinomial

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-PoissonBinomial

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 8.2 min · r-oldrel-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

1

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 82%
Return-value docs: 100%
References docs: 67%

Downloads

33K

CRAN downloads in the past year

Rank #2,450 · ~90/day · ~2.8K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.3K30 days

8K90 days

33K1 year

Compare downloads with other packages →

Also on509 r2u13 autocran4.4K conda_forge35 c2d4u

Repository

GitHub ↗ fj86/poissonbinomial

3Stars

0Forks

1Open issues

0Open PRs

3Releases

34Commits

2Contributors

License GPL-3.0 · 34 commits · Last activity 2026-03-06

Stars over time

2024-07-03 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fj86/poissonbinomial on 2026-08-09.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (1)

Rcpp

LinkingTo (1)

Rcpp

Suggests (3)

knitr rmarkdown microbenchmark

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

5direct

0indirect

Rediscover FDX netcutter FDX surveyvoi distributions3 surveyvoi

Code & Tests

People & History

People (1)

Maintainer (1)

Florian Junge

Author, Maintainer

Authors (1)

Florian Junge

Author, Maintainer

Package Timeline

17 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.2.8Latest
2026-03-06 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.2.7
2024-09-17 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.2.6
2023-11-29 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.2.5
2022-05-31 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.2.4
2021-07-27 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.2.3
2021-03-28 · diff ↗
1.2.2
2021-03-12 · diff ↗
1.2.1
2020-11-26 · diff ↗
1.2.0
2020-11-25 · diff ↗
1.1.3
2020-09-07 · diff ↗

Show 9 earlier events

1.1.2
2020-09-01 · diff ↗
1.1.1
2020-05-14 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.1.0
2020-03-28 · diff ↗
1.0.2-1
2020-02-24 · diff ↗
1.0.2
2020-02-17 · diff ↗
1.0.1
2020-02-05 · diff ↗
1.0.0
2020-01-22
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-01-22
Total releases: 17 / 6 yrs
License: GPL-3 OSI
Download size: 98 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Probability Distributions

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PoissonBinomial")

Format

Junge, F. (2026). PoissonBinomial: Efficient Computation of Ordinary and Generalised Poisson Binomial Distributions (Version 1.2.8) [Computer software]. https://doi.org/10.32614/CRAN.package.PoissonBinomial

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 PoissonBinomial version 1.2.8 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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