BDgraph: Graph estimation based on birth-death MCMC approach

This package provides a Bayesian methodology for structure learning in undirected graphical models. Our Bayesian methodology is based on birth-death Markov chain Monte Carlo (BDMCMC) algorithm which is the main function with the name 'bdgraph'. The main target of this package is high-dimensional data analysis wherein usually p >> n. The computation is memory-optimized using the sparse matrix output.

Version: 2.12
Depends: R (≥ 3.0.0), Matrix, igraph
Published: 2014-09-24
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_2.12.tar.gz
Windows binaries: r-devel: BDgraph_2.12.zip, r-release: BDgraph_2.12.zip, r-oldrel: BDgraph_2.12.zip
OS X Snow Leopard binaries: r-release: BDgraph_2.12.tgz, r-oldrel: BDgraph_2.12.tgz
OS X Mavericks binaries: r-release: BDgraph_2.12.tgz
Old sources: BDgraph archive