BGGM: Bayesian Gaussian Graphical Models

Fit Bayesian Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing and estimation. There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability. These methods were recently introduced in the Gaussian graphical model literature, including Williams (2019) <doi:10.31234/osf.io/x8dpr>, Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>, Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.

Version: 2.1.5
Depends: R (≥ 4.0.0)
Imports: BFpack (≥ 1.2.3), GGally (≥ 1.4.0), ggplot2 (≥ 3.2.1), ggridges (≥ 0.5.1), grDevices, MASS (≥ 7.3-51.5), methods, mvnfast (≥ 0.2.5), network (≥ 1.15), reshape (≥ 0.8.8), Rcpp (≥ 1.0.4.6), Rdpack (≥ 0.11-1), sna (≥ 2.5), stats, utils
LinkingTo: Rcpp, RcppArmadillo, RcppDist, RcppProgress
Suggests: abind (≥ 1.4-5), assortnet (≥ 0.12), networktools (≥ 1.3.0), mice (≥ 3.8.0), psych, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-12-22
DOI: 10.32614/CRAN.package.BGGM
Author: Donald Williams [aut], Joris Mulder [aut], Philippe Rast [aut, cre]
Maintainer: Philippe Rast <rast.ph at gmail.com>
BugReports: https://github.com/donaldRwilliams/BGGM/issues
License: GPL-2
URL: https://donaldrwilliams.github.io/BGGM/
NeedsCompilation: yes
Citation: BGGM citation info
Materials: NEWS
CRAN checks: BGGM results

Documentation:

Reference manual: BGGM.pdf
Vignettes: Controlling for Variables (source)
Three Ways to Test the Same Hypothesis (source, R code)
In Tandem: Confirmatory and Exploratory Testing (source, R code)
MCMC Diagnostics (source, R code)
Network Plots (source, R code)
Custom Network Statistics (source, R code)
Custom Network Comparisons (source, R code)
Predictability: Binary, Ordinal, and Continuous (source, R code)
Testing Sums (source, R code)
Graphical VAR (source, R code)

Downloads:

Package source: BGGM_2.1.5.tar.gz
Windows binaries: r-devel: BGGM_2.1.5.zip, r-release: BGGM_2.1.5.zip, r-oldrel: BGGM_2.1.5.zip
macOS binaries: r-devel (arm64): BGGM_2.1.5.tgz, r-release (arm64): BGGM_2.1.5.tgz, r-oldrel (arm64): BGGM_2.1.5.tgz, r-devel (x86_64): BGGM_2.1.5.tgz, r-release (x86_64): BGGM_2.1.5.tgz, r-oldrel (x86_64): BGGM_2.1.5.tgz
Old sources: BGGM archive

Reverse dependencies:

Reverse imports: easybgm

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BGGM to link to this page.