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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 MarsmanORCID iD [aut, cre], Giuseppe ArenaORCID iD [ctb], Karoline HuthORCID iD [ctb], Nikola SekulovskiORCID iD [ctb], Don van den BerghORCID 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 licensedunder CC-BY 4. See individual data documentation for licenseand 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:

Please use the canonical formhttps://CRAN.R-project.org/package=bgmsto link to this page.


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