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BDgraph (version 1.0)

Gaussian Graphical Model selection based on birth-death MCMC methodology

Description

BDgraph is a statistical tool for Bayessian model determination in Gaussian graphical models based on birth-death MCMC algorithm. This package includes several functions. The main function is BDMCMC which is brith-death MCMC algorithm for Bayesian model selection in Gaussian graphical models.

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Version

Install

install.packages('BDgraph')

Monthly Downloads

1,909

Version

1.0

License

GPL (>= 3)

Maintainer

Abdolreza Mohammadi

Last Published

September 26th, 2012

Functions in BDgraph (1.0)

BDgraph-internal

Inernal functions
plot_links

Plot of posterior distribution for graph according to number of their links
FIV

Fisher's Iris virginica dataset
BDMCMC

BDMCMC algorithm for Gaussain graphical model determination
Phat

Posterior edges inclusion probabilities
I_G

Computing normalizing constant of G-Wishart distribution
BDMCMC.high

BDMCMC algorithm for high-dimensional graphs
prob.graph

Posterior probability of the graph
output

result for simulation data
prob.allgraphs

Posterior probability of all possible grpahs
BDgraph-package

Bayesian model selection in Gaussian graphical models based on BDMCMC algorithm
BDMCMC.low

BDMCMC algorithm for low-dimensional graphs
CellSignal

CellSignal dataset
selection.result

Selecting the best graphical model based on BDMCMC algorithm
plot_cumulative

Cumulative occupancy fractions
sample.G.Wishart

Sampling from G-Wishart distribution