BDgraph: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC

Advanced statistical tools for Bayesian structure learning in undirected graphical models, accommodating continuous, ordinal, discrete, count, and mixed data. It integrates recent advancements in Bayesian graphical models as presented in the literature, including the works of Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Mohammadi et al. (2021) <doi:10.1080/01621459.2021.1996377>, Dobra and Mohammadi (2018) <doi:10.1214/18-AOAS1164>, and Mohammadi et al. (2023) <doi:10.48550/arXiv.2307.00127>.

Version:	2.73
Imports:	igraph, ggplot2, pROC
Suggests:	ssgraph, huge, tmvtnorm, skimr, knitr, rmarkdown
Published:	2024-08-23
DOI:	10.32614/CRAN.package.BDgraph
Author:	Reza Mohammadi [aut, cre], Ernst Wit [aut], Adrian Dobra [ctb]
Maintainer:	Reza Mohammadi <a.mohammadi at uva.nl>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://www.uva.nl/profile/a.mohammadi
NeedsCompilation:	yes
Citation:	BDgraph citation info
Materials:	README NEWS
In views:	Bayesian, GraphicalModels, HighPerformanceComputing, MachineLearning
CRAN checks:	BDgraph results

Documentation:

Reference manual:	BDgraph.pdf
Vignettes:	BDgraph with Simple Examples (source, R code) Introduction to BDgraph (source, R code)

Downloads:

Package source:	BDgraph_2.73.tar.gz
Windows binaries:	r-devel: BDgraph_2.73.zip, r-release: BDgraph_2.73.zip, r-oldrel: BDgraph_2.73.zip
macOS binaries:	r-release (arm64): BDgraph_2.73.tgz, r-oldrel (arm64): BDgraph_2.73.tgz, r-release (x86_64): BDgraph_2.73.tgz, r-oldrel (x86_64): BDgraph_2.73.tgz
Old sources:	BDgraph archive

Reverse dependencies:

Reverse depends:	ssgraph
Reverse imports:	bayesWatch, bmixture, easybgm, heteromixgm, rgm
Reverse suggests:	BayesSUR, bootnet, qgraph

Linking:

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