Bayesian Network Belief Propagation
Overview
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
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.- NOTE11 OK, 2 NOTE2026-06-09
- ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- 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
Repository
- 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
Forks over time
Issues over time
Checks run against github.com/hyu-ub/bayesnetbp on 2026-10-18.
No development-tooling practices detected in the upstream repository.
Dependencies
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.
Code & Tests
Datasets
People & History
Maintainer since 1.0.1 (2017)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.6.1Latest
- RR 4.2.0 released · 2022-04-22
- 1.5.92021-06-01 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.5.52020-06-25 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.5.2
- RR 3.6.0 released · 2019-04-26
- 1.4.02018-08-22 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.3.02018-02-16 · diff ↗ ·
removed 1 export
PropagateDBNadded 4 exports
Initializer, Propagate, Sampler, bn_to_graphNEL - 1.2.1
Show 2 earlier eventsHide 2 earlier events
- 1.0.12017-05-09
- RR 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.
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.