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Bayesian variable selection methods for analyzing the structure of a Markov random field model for a network of binary and/or ordinal variables.
Version: | 0.1.6.0 |
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: | 2025-09-27 |
DOI: | 10.32614/CRAN.package.bgms |
Author: | Maarten Marsman |
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 |
CRAN checks: | bgms results |
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) |
Package source: | bgms_0.1.6.0.tar.gz |
Windows binaries: | r-devel: bgms_0.1.6.0.zip, r-release: bgms_0.1.6.0.zip, r-oldrel: bgms_0.1.6.0.zip |
macOS binaries: | r-release (arm64): bgms_0.1.6.0.tgz, r-oldrel (arm64): bgms_0.1.4.2.tgz, r-release (x86_64): bgms_0.1.6.0.tgz, r-oldrel (x86_64): bgms_0.1.6.0.tgz |
Old sources: | bgms archive |
Reverse imports: | easybgm |
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.