bgms: Bayesian Analysis of Networks of Binary and/or Ordinal Variables

Bayesian variable selection methods for analyzing the structure of a Markov random field model for a network of binary and/or ordinal variables.

Version: 0.1.6.1
Depends: R (≥ 3.5)
Imports: Rcpp (≥ 1.0.7), RcppParallel, Rdpack, methods, coda, lifecycle
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, dqrng, BH
Suggests: ggplot2, knitr, parallel, qgraph, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-10-04
DOI: 10.32614/CRAN.package.bgms
Author: Maarten Marsman ORCID iD [aut, cre], Giuseppe Arena ORCID iD [ctb], Karoline Huth ORCID iD [ctb], Nikola Sekulovski ORCID iD [ctb], Don van den Bergh ORCID iD [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/
NeedsCompilation: yes
Citation: bgms citation info
Materials: README, NEWS
In views: Psychometrics
CRAN checks: bgms results

Documentation:

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

Downloads:

Package source: bgms_0.1.6.1.tar.gz
Windows binaries: r-devel: bgms_0.1.6.1.zip, r-release: bgms_0.1.6.1.zip, r-oldrel: bgms_0.1.6.1.zip
macOS binaries: r-release (arm64): bgms_0.1.6.1.tgz, r-oldrel (arm64): bgms_0.1.6.1.tgz, r-release (x86_64): bgms_0.1.6.1.tgz, r-oldrel (x86_64): bgms_0.1.6.1.tgz
Old sources: bgms archive

Reverse dependencies:

Reverse imports: easybgm

Linking:

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