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:	0.1.4.2
Depends:	R (≥ 2.10)
Imports:	Rcpp (≥ 1.0.7), Rdpack, methods
LinkingTo:	Rcpp, RcppProgress
Suggests:	knitr, qgraph, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-12-05
DOI:	10.32614/CRAN.package.bgms
Author:	Maarten Marsman [aut, cre], Karoline Huth [ctb], Nikola Sekulovski [ctb], Don van den Bergh [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_0.1.4.2.tar.gz
Windows binaries:	r-devel: bgms_0.1.4.2.zip, r-release: bgms_0.1.4.2.zip, r-oldrel: bgms_0.1.4.2.zip
macOS binaries:	r-devel (arm64): bgms_0.1.4.2.tgz, r-release (arm64): bgms_0.1.4.2.tgz, r-oldrel (arm64): bgms_0.1.4.2.tgz, r-devel (x86_64): bgms_0.1.4.2.tgz, r-release (x86_64): bgms_0.1.4.2.tgz, r-oldrel (x86_64): bgms_0.1.4.2.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.