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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. Details of the implemented methods can be found in: Marsman, van den Bergh, and Haslbeck (in press) <doi:10.31234/osf.io/ukwrf>.

Version: 0.1.4.1
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.7), Rdpack, methods
LinkingTo: Rcpp, RcppProgress
Suggests: knitr, qgraph, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-11-12
DOI: 10.32614/CRAN.package.bgms
Author: Maarten Marsman ORCID iD [aut, cre], 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/MaartenMarsman/bgms/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://maartenmarsman.github.io/bgms/
NeedsCompilation: yes
Citation: bgms citation info
Materials: README NEWS
CRAN checks: bgms results

Documentation:

Reference manual: bgms.pdf
Vignettes: Introducing bgmCompare (source, R code)
Introducing the bgm function (source, R code)

Downloads:

Package source: bgms_0.1.4.1.tar.gz
Windows binaries: r-devel: bgms_0.1.4.zip, r-release: bgms_0.1.4.zip, r-oldrel: bgms_0.1.4.zip
macOS binaries: r-release (arm64): bgms_0.1.4.tgz, r-oldrel (arm64): bgms_0.1.4.tgz, r-release (x86_64): bgms_0.1.4.tgz, r-oldrel (x86_64): bgms_0.1.4.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.