Revision 9895d06622cc75a24d2b055040302cd3af7355ea authored by Abdolreza Mohammadi on 21 June 2017, 13:59:00 UTC, committed by cran-robot on 21 June 2017, 13:59:00 UTC
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DESCRIPTION
Package: BDgraph
Type: Package
Title: Bayesian Structure Learning in Graphical Models using
        Birth-Death MCMC
Version: 2.39
Date: 2017-06-21
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: 2017-06-21 09:08:22 UTC; mohammad
Repository: CRAN
Date/Publication: 2017-06-21 14:59:00 UTC
NeedsCompilation: yes
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