BDgraph: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Version 2.51

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

Package details

AuthorReza Mohammadi [aut, cre] <https://orcid.org/0000-0001-9538-0648>, Ernst Wit [ctb], Adrian Dobra [ctb]
Date of publication2018-06-21 16:53:07 UTC
MaintainerReza Mohammadi <[email protected]>
LicenseGPL (>= 2)
Version2.51
URL https://www.uva.nl/profile/a.mohammadi
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BDgraph")

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BDgraph documentation built on June 21, 2018, 5:01 p.m.