R Observatory: Metrics for bgms version 0.2.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bgms

0.2.0.0

Bayesian Analysis of Graphical Models

1packages depend

6.8Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Maarten MarsmanFirst published 2023-04-2113 releasesCRAN page ↗GitHub ↗

Bayesian estimation and edge selection for graphical models of mixed binary, ordinal, and continuous variables. The variable types determine the model: an ordinal Markov random field for discrete data, a Gaussian graphical model for continuous data, or a mixed Markov random field combining both. Edge inclusion is determined through spike-and-slab priors, yielding posterior inclusion probabilities for each edge. Supports multi-group comparison via 'bgmCompare()', simulation, prediction, and missing data imputation.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bgms", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Bayesian-Graphical-Modelling-Lab/bgms")

Development version from Bayesian-Graphical-Modelling-Lab/bgms. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bgms

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bgms

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bgms

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 31.1 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 1.24

not tracked

Coverage

100%

Documentation · exports

11

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 3 earlier snapshots

NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 232 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 27%
Documented parameters: 96%
Return-value docs: 95%
References docs: 10%

Downloads

6.8K

CRAN downloads in the past year

Rank #4,852 · ~19/day · ~567/mo

Releases R versions

Daily download trend is not available in this view yet.

61330 days

1.6K90 days

6.8K1 year

Compare downloads with other packages →

Also on552 r2u42 autocran

Repository

GitHub ↗ bayesian-graphical-modelling-lab/bgms

9Stars

8Forks

0Open issues

9Open PRs

0Releases

642Commits

9Contributors

bayesian-inferencebayesian-statisticsgraphical-modelshamiltonian-monte-carlomarkov-chain-monte-carlomcmcmetropolis-hastingsparallel-computing

License GPL-2.0 · 642 commits · Last activity 2026-08-13 · +12.5% stars, 30d

Stars over time

2025-07-02 · 62026-08-13 · 9

Repository practices

Upstream repositoryBeta

8 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/bayesian-graphical-modelling-lab/bgms on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Lint, format, editor (3)

lintrEditorConfigRStudio project

Show all practices

Governance and community (2)

Issue templatesPR template

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (11)

Rcpp RcppParallel Rdpack S7methodslifecyclegraphicsgrDevicesparallelstatsutils

LinkingTo (5)

Rcpp RcppArmadillo RcppParallel dqrng BH

Suggests (8)

coda covr knitrMASSqgraph rmarkdown testthat (>= 3.0.0)withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

easybgm

Code & Tests

Datasets

People & History

People (6)

Maintainer (1)

Maarten Marsman

Author, Maintainer

Authors (2)

Maarten Marsman

Author, Maintainer

Don van den Bergh

Author

Contributors (4)

Giuseppe Arena

Contributor · added in 0.1.6.0

Gali Geller

Contributor · added in 0.1.6.3

Laura Groot

Contributor · added in 0.1.6.3

Nikola Sekulovski

Contributor

Listed in earlier versions (1)

Karoline Huth

no longer listed · 0.1.2 to 0.1.6.2

Package Timeline

13 releases. Pick two to compare their code metrics. R releases are shown for context.

0.2.0.0Latest
2026-08-04 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.1.6.3
2026-02-14 · diff ↗
0.1.6.2
2026-01-20 · diff ↗
0.1.6.1
2025-10-04 · diff ↗
0.1.6.0
2025-09-27 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.1.4.2
2024-12-05 · diff ↗
0.1.4.1
2024-11-12 · diff ↗
0.1.4
2024-10-21 · diff ↗
0.1.3.1
2024-05-15 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.1.3
2024-02-25 · diff ↗
0.1.2
2023-10-13 · diff ↗
0.1.1
2023-09-01 · diff ↗
0.1.0
2023-04-21

Show 2 earlier events

R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-04-21
Total releases: 13 / 3 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5
Bundled data: 7.3 KB / 3 files
Download size: 1.7 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Bayesian Inference Psychometric Models and Methods

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bgms")

Format

Marsman, M., Arena, G., Geller, G., Groot, L., Sekulovski, N., & van den Bergh, D. (2026). bgms: Bayesian Analysis of Graphical Models (Version 0.2.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.bgms

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bgms version 0.2.0.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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