Bayesian Network Modeling and Analysis
Overview
A "Shiny"" web application for creating interactive Bayesian Network models, learning the structure and parameters of Bayesian networks, and utilities for classic network analysis.
New features
- Added unit tests using
testthatandshinytest2for improved reliability. - Added download handlers for the adjacency matrix (CSV), fitted network (BIF format), and network parameters (RDS).
- Added inline help text describing each of the 12 supported structure learning algorithms.
- Added support for multi-node evidence in inference: users can now accumulate evidence across multiple nodes before querying.
- Added Gaussian network inference using likelihood-weighting sampling (
bnlearn::cpdist()), with kernel density visualization of the posterior.
Minor improvements and bug fixes
- Refactored
server.Randui.Rfor improved code quality. - Updated R-CMD-check CI/CD workflow.
- Added
knitrandrmarkdownvignette builder support.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-12
Show 4 earlier changesHide 4 earlier changes
- WARNING12 OK, 1 WARNING2026-05-11
- OK14 OK2026-03-13
- ERROR13 OK, 1 ERROR2026-03-12
- OK14 OK2026-03-10
Documentation
- Help pages
- 2 (1 internal)includes a package overview page
- Examples that run
- 100%1 run in a plain check (under a condition)
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- 100%
- Help pages citing references
- 0%
- Usage HTML
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 32
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
12 development-tooling and community-health practices detected across 7 families in the upstream repository
Checks run against github.com/paulgovan/bayesiannetwork on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
The repository owner accepts GitHub Sponsors
GitHub Pages site last deployed 2026-05-19 · The repository has a site deploy workflow
pkgdown site last built 2026-05-19
Show all practicesHide 3 practices
This repository shows signs of AI coding tools.
- Claude Codefirst seen 2026-04-17Seen in the repository: CLAUDE.mdNamed in .Rbuildignore: .claude, CLAUDE.md
Dependencies
Installing BayesianNetwork adds 98 packages (48 with compiled code, 99 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.4Latest
- RR 4.5.0 released · 2025-04-11
- 0.3.22024-07-12 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.32023-06-27 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.52018-12-02 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.1.32017-07-12 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.1.12016-10-25 · diff ↗
Show 2 earlier eventsHide 2 earlier events
- 0.1.02016-07-21
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-07-21
- Total releases
- 7 / 10 yrs
- License
- Apache License (>= 2)
- Minimum R
- ≥ 3.6.0
- Download size
- 2.8 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("BayesianNetwork")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.21105/joss.00425, 10.32614/cran.package.bayesiannetwork.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.