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)
CHANGES IN VERSION 2.19 The Title in Description is changed Function "I.g" is added
CHANGES IN VERSION 2.20 Reversible jump MCMC algorithm is added to "bdgraph()" fonction
CHANGES IN VERSION 2.23 Function "I.g" is chenged to "log_Ig" and it is implemented in C++
CHANGES IN VERSION 2.24 Function "phat" is changed to "plinks" Function "prob" is changed to "pgraph" Function "log_Ig" is changed to "gnorm"
CHANGES IN VERSION 2.28 The Title in Description is changed Function "bdgraph.ts", "rgcwish", and "rcwish" are added to the package