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BayesNetBP

1.6.1Package record

Bayesian Network Belief Propagation

0packages depend
3.6Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Belief propagation methods in Bayesian Networks to propagate evidence through the network. The implementation of these methods are based on the article: Cowell, RG (2005). Local Propagation in Conditional Gaussian Bayesian Networks https://www.jmlr.org/papers/v6/cowell05a.html. For details please see Yu et. al. (2020) BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks doi:10.18637/jss.v094.i03. The optional 'cyjShiny' package for running the Shiny app is available at https://github.com/cytoscape/cyjShiny. Please see the example in the documentation of 'runBayesNetApp' function for installing 'cyjShiny' package from GitHub.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Han Yu <hyu9@buffalo.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Han",
                      family = "Yu",
                      role = c("aut", "cre"),
                      email = "hyu9@buffalo.edu"),
               person(given = "Rachael",
                      family = "Blair",
                      role = "aut"),
               person(given = "Janhavi",
                      family = "Moharil",
                      role = "aut"),
               person(given = "Andrew",
                      family = "Yan",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 3.7 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.6.1
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
25
Examples that run
71%12 run in a plain check · 5 never run
Exported functions with examples
94%
Documented parameters
100%
Return-value docs
83%
Help pages citing references
80%

Downloads

3.6K
CRAN downloads in the past year
Rank #8,938 · ~10/day · ~300/mo
Daily download trend is not available in this view yet.
38730 days
1.1K90 days
3.6K1 year
Compare downloads with other packages →
Also on89 r2u

Repository

20Stars
3Forks
0Open issues
0Open PRs
0Releases
75Commits
1Commit identities
bayesian-networksnetwork-inferenceprobabilistic-graphical-modelsconditional-gaussian
License file reads as GPL-3.0 · 75 commits · Last activity 2025-06-02 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
281
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-05-28 · 192026-07-07 · 20
PracticesBeta

Checks run against github.com/hyu-ub/bayesnetbp on 2026-10-18.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing BayesNetBP adds 50 packages (31 with compiled code, 57 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, igraph 4.8 MB. 1 more not on CRAN is not measured.

Depends (3)
R >= 3.6.0statsutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (4)
· added in 1.5.2
· added in 1.5.2

Maintainer since 1.0.1 (2017)

Listed in earlier versions (1)
no longer listed · 1.0.1
Releases (8)

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
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.6.1Latest
    record
    2022-05-08 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.5.9
    record
    2021-06-01 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.5.5
    record
    2020-06-25 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.5.2
    record
    2020-04-14 · diff ↗ ·
    added 1 export
    qtlnet_to_graphNEL
  • R
    R 3.6.0 released · 2019-04-26
  • 1.4.0
    record
    2018-08-22 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.3.0
    record
    2018-02-16 · diff ↗ ·
    removed 1 export
    PropagateDBN
    added 4 exports
    Initializer, Propagate, Sampler, bn_to_graphNEL
  • 1.2.1
    record
    2017-06-07 · diff ↗ ·
    removed 1 export
    PrintTree
    added 1 export
    GetValue
Show 2 earlier eventsHide 2 earlier events
  • 1.0.1
    record
    2017-05-09
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-05-09
Total releases
8 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.6.0
Bundled data
82 KB / 6 files
Download size
130 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("BayesNetBP")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v094.i03.

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 BayesNetBP version 1.6.1 [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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