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PoissonBinomial

1.2.8Package record

Efficient Computation of Ordinary and Generalised Poisson Binomial Distributions

4packages dependsuggested by 1
28.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.2.8
  • Addresses future Rcpp changes that would cause compiler warnings
  • Minor documentation updates

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 8.2 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.8
READMENoVignettesYes · 4 · dynamicNEWSYes · 100% structured · mentions 1.2.8Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
3includes a package overview page
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
82%
Return-value docs
100%
Help pages citing references
67%

Downloads

28.6K
CRAN downloads in the past year
Rank #2,683 · ~78/day · ~2.4K/mo
Daily download trend is not available in this view yet.
2K30 days
5.8K90 days
28.6K1 year
Compare downloads with other packages →
Also on597 r2u9 autocran4.2K conda_forge57 c2d4u

Repository

3Stars
0Forks
1Open issues
0Open PRs
3Releases
34Commits
2Commit identities
License file reads as GPL-3.0 · 34 commits · Last activity 2026-03-06
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
318
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2024-07-03 · 32026-07-07 · 3
PracticesBeta

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

Checks run against github.com/fj86/poissonbinomial on 2026-10-25.

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 v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing PoissonBinomial adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (0)
none
Imports (1)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
4direct
0indirect
Depends 1 · Imports 2 · LinkingTo 2
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (1)
Author, Maintainer since 1.0.0 (2020)
Releases (17)

Pick two releases to compare their code metrics.

Show 9 earlier eventsHide 9 earlier events

Package metadata

First published
2020-01-22
Total releases
17 / 6 yrs
License
GPL-3 OSI
Download size
98 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PoissonBinomial")
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 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PoissonBinomial version 1.2.8 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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