BDgraph: 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) <doi:10.1214/14-BA889>, Mohammadi et al. (2017) <doi:10.1111/rssc.12171>, and Dobra and Mohammadi (2018) <doi:10.1214/18-AOAS1164>. 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 [aut], Adrian Dobra [ctb]
MaintainerReza Mohammadi <[email protected]>
LicenseGPL (>= 2)
Version2.53
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 Nov. 15, 2018, 1:03 a.m.