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

Provides statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, 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> and Mohammadi et al. (2017) <doi:10.1111/rssc.12171>. To speed up the computations, the BDMCMC sampling algorithms are implemented in parallel using OpenMP in C++.

Version: 2.43
Depends: R (≥ 3.0.0), Matrix, igraph
Published: 2017-11-18
Author: Abdolreza Mohammadi and Ernst Wit
Maintainer: Abdolreza Mohammadi <a.mohammadi at rug.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.tilburguniversity.edu/webwijs/show/a.mohammadi.htm
NeedsCompilation: yes
Citation: BDgraph citation info
Materials: NEWS
In views: gR
CRAN checks: BDgraph results

Downloads:

Reference manual: BDgraph.pdf
Package source: BDgraph_2.43.tar.gz
Windows binaries: r-devel: BDgraph_2.43.zip, r-release: BDgraph_2.43.zip, r-oldrel: BDgraph_2.43.zip
OS X El Capitan binaries: r-release: BDgraph_2.43.tgz
OS X Mavericks binaries: r-oldrel: BDgraph_2.43.tgz
Old sources: BDgraph archive

Reverse dependencies:

Reverse depends: bmixture
Reverse imports: qgraph

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