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

Statistical tools for Bayesian structure learning in undirected graphical models for continuous, ordinal/discrete/count, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models' literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Mohammadi et al. (2021) <doi:10.1080/01621459.2021.1996377>, and Dobra and Mohammadi (2018) <doi:10.1214/18-AOAS1164>.

Version:	2.72
Imports:	igraph, ggplot2, pROC
Suggests:	ssgraph, huge, tmvtnorm, skimr, knitr, rmarkdown
Published:	2022-12-25
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 Introduction to BDgraph

Downloads:

Package source:	BDgraph_2.72.tar.gz
Windows binaries:	r-devel: BDgraph_2.72.zip, r-release: BDgraph_2.72.zip, r-oldrel: BDgraph_2.72.zip
macOS binaries:	r-release (arm64): BDgraph_2.72.tgz, r-oldrel (arm64): BDgraph_2.72.tgz, r-release (x86_64): BDgraph_2.72.tgz, r-oldrel (x86_64): BDgraph_2.72.tgz
Old sources:	BDgraph archive

Reverse dependencies:

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

Linking:

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