BDgraph (2.59)

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Bayesian Structure Learning in Graphical Models using Birth-Death MCMC.

https://www.uva.nl/profile/a.mohammadi
http://cran.r-project.org/web/packages/BDgraph

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) , Letac et al. (2018) , Dobra and Mohammadi (2018) , Mohammadi et al. (2017) . 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] <https://orcid.org/0000-0001-9538-0648>, Ernst Wit [aut] <https://orcid.org/0000-0002-3671-9610>, Adrian Dobra [ctb]

License: GPL (>= 2)

Uses: igraph
Reverse depends: bmixture, ssgraph

Released 3 months ago.


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