Revision 1323820ab48d46d1ddca9fa323299bc2183c5a2c authored by Abdolreza Mohammadi on 20 June 2017, 22:36:50 UTC, committed by cran-robot on 20 June 2017, 22:36:50 UTC
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DESCRIPTION
Package: BDgraph
Type: Package
Title: Bayesian Structure Learning in Graphical Models using
        Birth-Death MCMC
Version: 2.38
Date: 2017-06-10
Author: Abdolreza Mohammadi and Ernst Wit
Depends: R (>= 3.0.0), Matrix, igraph
Maintainer: Abdolreza Mohammadi <a.mohammadi@rug.nl>
Description: 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> and Mohammadi et al. (2017) <doi:10.1111/rssc.12171>. To speed up the computations, the BDMCMC sampling algorithms are implemented in parallel using OpenMP in C++.
Acknowledgements: The help of the CRAN team to integrate C++ code with
        R is gratefully acknowledged.
License: GPL (>= 2)
LazyLoad: yes
URL: https://www.tilburguniversity.edu/webwijs/show/a.mohammadi.htm
Packaged: 2017-06-20 08:32:05 UTC; mohammad
Repository: CRAN
Date/Publication: 2017-06-20 23:36:50 UTC
NeedsCompilation: yes
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