Graph determination based on BD-MCMC algorithm

Reza Mohammadi [aut, cre] <https://orcid.org/0000-0001-9538-0648>,
Ernst Wit [aut, cre],
Adrian Dobra [ctb]
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++.

Reza Mohammadi [aut, cre] <https://orcid.org/0000-0001-9538-0648>,
Ernst Wit [aut],
Adrian Dobra [ctb]

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>, 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++.

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++.

Reza Mohammadi [aut, cre] <https://orcid.org/0000-0001-9538-0648>,
Ernst Wit [aut] <https://orcid.org/0000-0002-3671-9610>,
Adrian Dobra [ctb]

Graph determination based on birth-death MCMC
R (>= 3.0.0), huge, Matrix, igraph, MASS
The package 'BDgraph' is a statistical tool for model
selection in undirected Gaussian graphical models. Our Bayesian
methodology is based on birth-death MCMC algorithm. The main
function is 'bdgraph' which is a birth-death MCMC algorithm.