BDgraph: Graph Estimation Based on Birth-Death MCMC Approach

This package provides a general framework to perform Bayesian structure learning in undirected graphical models. The package provides recent improvements in the Bayesian literature. The package consists of two main MCMC sampling algorithm efficiently implemented in C++ to maximize computational speed. The main target of the package is high-dimensional data analysis wherein either continuous or discrete variables and usually number of variables are less than number of observations. Acknowledgements: The help of the CRAN team to integrate C++ code with R is gratefully acknowledged.

Version: 2.15
Depends: R (≥ 3.0.0), Matrix, igraph
Published: 2015-01-23
Author: Abdolreza Mohammadi and Ernst Wit
Maintainer: Abdolreza Mohammadi <a.mohammadi at rug.nl>
License: GPL (≥ 3)
URL: http://www.math.rug.nl/stat/Main/Research
NeedsCompilation: yes
CRAN checks: BDgraph results

Downloads:

Reference manual: BDgraph.pdf
Package source: BDgraph_2.15.tar.gz
Windows binaries: r-devel: BDgraph_2.15.zip, r-release: BDgraph_2.15.zip, r-oldrel: BDgraph_2.15.zip
OS X Snow Leopard binaries: r-release: BDgraph_2.15.tgz, r-oldrel: BDgraph_2.15.tgz
OS X Mavericks binaries: r-release: BDgraph_2.15.tgz
Old sources: BDgraph archive