BDgraph (2.53)

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) , Mohammadi et al. (2017) , and Dobra and Mohammadi (2018) . To speed up the computations, the BDMCMC sampling algorithms are implemented in parallel using OpenMP in C++.

Maintainer: Reza Mohammadi
Author(s): Reza Mohammadi [aut, cre] <>, Ernst Wit [aut], Adrian Dobra [ctb]

License: GPL (>= 2)

Uses: igraph, Matrix
Reverse depends: bmixture, ssgraph

Released 10 months ago.