Package: BDgraph
Version: 2.53
Date: 2018-11-14
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], 
        Adrian Dobra [ctb]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>
URL: https://www.uva.nl/profile/a.mohammadi
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>, 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++.
Acknowledgements: The help of the CRAN team to integrate C++ code with
        R is gratefully acknowledged.
Imports: Matrix, igraph
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2018-11-14 17:02:35 UTC; reza
Date/Publication: 2018-11-14 18:30:12 UTC
