Learn R Programming
⚠️There's a newer version (2.73) of this package.Take me there.

BDgraph (version 2.3)

Bayesian undirected graph estimation with BDMCMC algorithm

Description

The R package BDgraph is a statistical tool for Bayesian model selection in undirected Gaussian graphical models. Our Bayesian methodology is based on birth-death MCMC algorithm. The main function is 'bdmcmc' which is a birth-death MCMC algorithm for Bayesian model selection in undirected Gaussian graphical models.

Copy Link

Version

Install

install.packages('BDgraph')

Monthly Downloads

1,909

Version

2.3

License

GPL (>= 3)

Maintainer

Abdolreza Mohammadi

Last Published

April 8th, 2013

Functions in BDgraph (2.3)

I.g

Computing normalizing constant of G-Wishart distribution
compare

Comparing the result according to the true graph
bdmcmc.high

BDMCMC algorithm for high-dimensional graphs
plotConvergency

Cumulative occupancy fractions for checking the convergency
bdmcmc

BDMCMC algorithm for undirected graph estimation
prob.allg

Posterior probability of all possible graphs
plotLinks

Plot of posterior distribution for graphs according to number of their links
prob.g

Posterior probability for a specific graph
BDgraph-package

Bayesian undirected graph estimation with BDMCMC algorithm
phat

Posterior edge inclusion probabilities
BDgraph-internal

Inernal functions and datasets
select.g

Selecting the best graphical models based on BDMCMC algorithm
bdmcmc.low

BDMCMC algorithm for low-dimensional graphs