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BayesianNetwork

0.4Package record

Bayesian Network Modeling and Analysis

0packages depend
5.2Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

A "Shiny"" web application for creating interactive Bayesian Network models, learning the structure and parameters of Bayesian networks, and utilities for classic network analysis.

Changes in 0.4

New features

  • Added unit tests using testthat and shinytest2 for 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.R and ui.R for improved code quality.
  • Updated R-CMD-check CI/CD workflow.
  • Added knitr and rmarkdown vignette builder support.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.3 min · r-oldrel-macos-x86_64
Status changes
  • 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
Advisories

none known

Documentation

In release 0.4
READMEYes · 114 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.4Citation fileYes · cites a publicationWebsiteYes · pkgdown
Cites a JOSS paper
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%
Vignettes (1)

Downloads

5.2K
CRAN downloads in the past year
Rank #5,334 · ~14/day · ~435/mo
Daily download trend is not available in this view yet.
54630 days
1.5K90 days
5.2K1 year
Compare downloads with other packages →
Also on198 r2u38 autocran80 c2d4u

Repository

128Stars
40Forks
1Open issues
0Open PRs
8Releases
196Commits
1Commit identities
bayesian-networksnetwork-measureslearning-algorithmr
License file reads as Apache-2.0 · 196 commits · Last activity 2026-05-19 · 0% stars, 30d
Responsiveness
How these are sampled
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

2025-09-24 · 1242026-07-07 · 128
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (3)
Code of conductContributing guide

The repository owner accepts GitHub Sponsors

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-05-19 · The repository has a site deploy workflow

pkgdown site last built 2026-05-19

Coverage (1)
Coverage reporting
Show all practicesHide 3 practices
CRAN release process (1)
cran-comments.md
Research and citation (1)
codemeta.json
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-04-17
    Seen in the repository: CLAUDE.md
    Named in .Rbuildignore: .claude, CLAUDE.md
How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 3.6.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2016), Copyright holder
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4Latest
    record
    2026-04-23 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.3.2
    record
    2024-07-12 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.3
    record
    2023-06-27 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.5
    record
    2018-12-02 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.3
    record
    2017-07-12 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.1
    record
    2016-10-25 · diff ↗
Show 2 earlier eventsHide 2 earlier events
  • 0.1.0
    record
    2016-07-21
  • R
    R 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
Appears in task views

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BayesianNetwork version 0.4 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

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.

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