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++.

Title: Graph determination based on birth-death MCMC
Depends: R (>= 3.0.0), huge, Matrix, igraph, MASS
Description: 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.

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>, Mohammadi and Wit (2019) <doi:10.18637/jss.v089.i03>.

Author: Reza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>),

Suggests: ssgraph, huge, pROC, ggplot2, tmvtnorm

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>, Mohammadi et al. (2021) <doi:10.1080/01621459.2021.1996377>, and Mohammadi and Wit (2019) <doi:10.18637/jss.v089.i03>.

Suggests: ssgraph, huge, pROC, ggplot2, tmvtnorm, skimr, knitr,

Suggests: ssgraph, huge, tmvtnorm, skimr, knitr, rmarkdown

Title: Graph selection based on birth-death MCMC
Description: The package 'BDgraph' is a statistical tool for model selection in undirected Gaussian graphical models. Our methodology is based on birth-death Markov chain Monte Carlo (BD-MCMC) algorithm which is the main function with the name 'bdgraph'.
Packaged: 2013-12-20 16:40:22 UTC; Administrator