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bgms: Bayesian Analysis of Graphical Models

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.

Version: 0.2.0.0
Depends: R (≥ 3.5)
Imports: Rcpp (≥ 1.0.7), RcppParallel, Rdpack, S7, methods, lifecycle, graphics, grDevices, parallel, stats, utils
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, dqrng, BH
Suggests: coda, covr, knitr, MASS, qgraph, rmarkdown, testthat (≥ 3.0.0), withr
Published: 2026-08-04
DOI: 10.32614/CRAN.package.bgms
Author: Maarten Marsman ORCID iD [aut, cre], Don van den Bergh ORCID iD [aut], Nikola Sekulovski ORCID iD [ctb], Giuseppe Arena ORCID iD [ctb], Laura Groot [ctb], Gali Geller [ctb]
Maintainer: Maarten Marsman <m.marsman at uva.nl>
BugReports: https://github.com/Bayesian-Graphical-Modelling-Lab/bgms/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: Includes datasets 'ADHD' and 'Boredom', which are licensed under CC-BY 4. See individual data documentation for license and citation.
URL: https://bayesian-graphical-modelling-lab.github.io/bgms/, https://github.com/Bayesian-Graphical-Modelling-Lab/bgms
NeedsCompilation: yes
Citation: bgms citation info
Materials: README, NEWS
In views: Bayesian, Psychometrics
CRAN checks: bgms results

Documentation:

Reference manual: bgms.html , bgms.pdf
Vignettes: Checking your fitted model (source, R code)
Model Comparison with bgmCompare (source, R code)
Diagnostics and Spike-and-Slab Summaries (source, R code)
Getting Started with bgms (source, R code)
Checking Prior Sensitivity (source, R code)

Downloads:

Package source: bgms_0.2.0.0.tar.gz
Windows binaries: r-devel: bgms_0.1.6.3.zip, r-release: bgms_0.2.0.0.zip, r-oldrel: bgms_0.2.0.0.zip
macOS binaries: r-release (arm64): bgms_0.2.0.0.tgz, r-oldrel (arm64): bgms_0.2.0.0.tgz, r-release (x86_64): bgms_0.2.0.0.tgz, r-oldrel (x86_64): bgms_0.2.0.0.tgz
Old sources: bgms archive

Reverse dependencies:

Reverse imports: easybgm

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bgms to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.