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: | 2.40 |
Depends: | R (≥ 3.0.0), Matrix, igraph |
Published: | 2017-08-14 |
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 |
Reference manual: | BDgraph.pdf |
Package source: | BDgraph_2.40.tar.gz |
Windows binaries: | r-devel: BDgraph_2.40.zip, r-release: BDgraph_2.40.zip, r-oldrel: BDgraph_2.40.zip |
OS X El Capitan binaries: | r-release: BDgraph_2.40.tgz |
OS X Mavericks binaries: | r-oldrel: BDgraph_2.40.tgz |
Old sources: | BDgraph archive |
Reverse depends: | bmixture |
Reverse imports: | qgraph |
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