 BDgraph-internal 

 compute_tp_fp 

 compute_measures 

 hill_climb_mpl 

 local_mb_hc 

 global_hc 

 log_mpl_disrete 

 hill_climb_mpl_binary 

 local_mb_hc_binary 

 global_hc_binary 

 log_mpl_binary 

 detect_cores 

 check.os 

 sample_ug 

 generate_clique_factors 

 calc_joint_dist 

 internal

  BDgraph-internal 

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> and 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++.

Abdolreza Mohammadi

BDgraph

Bayesian Structure Learning in Graphical Models using
Birth-Death MCMC

  BDgraph-internal  function

Internal BDgraph functions and datasets —   BDgraph-internal 

Internal BDgraph functions and datasets

BDgraph-internal : Internal BDgraph functions and datasets

Description

Arguments