BDgraph (2.9)

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.

Maintainer: Abdolreza Mohammadi
Author(s): Abdolreza Mohammadi and Ernst Wit

License: GPL (>= 3)

Uses: igraph, Matrix
Reverse depends: bmixture, ssgraph
Reverse suggests: BayesSUR

Released over 5 years ago.