Package: BDgraph
Version: 2.58
Date: 2019-04-15
Title: Bayesian Structure Learning in Graphical Models using
        Birth-Death MCMC
Author: Reza Mohammadi [aut, cre] <https://orcid.org/0000-0001-9538-0648>, 
        Ernst Wit [aut] <https://orcid.org/0000-0002-3671-9610>, 
        Adrian Dobra [ctb]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>
URL: https://www.uva.nl/profile/a.mohammadi
Description: 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>, Letac et al. (2018) <arXiv:1706.04416>, Dobra and Mohammadi (2018) <doi:10.1214/18-AOAS1164>, 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.
Imports: igraph
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2019-04-15 14:46:58 UTC; reza
Date/Publication: 2019-04-15 15:25:42 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 21:05:06 UTC; windows
Archs: i386, x64
