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BDgraph (version 2.6)

Graph determination based on birth-death MCMC

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.

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Version

Install

install.packages('BDgraph')

Monthly Downloads

1,909

Version

2.6

License

GPL (>= 3)

Maintainer

Abdolreza Mohammadi

Last Published

May 6th, 2013

Functions in BDgraph (2.6)

rGWishart

Sampling from G-Wishart distribution

BDgraph-internal

Inernal bdgraph functions and datasets

bdgraph

Graph determination based on BD-MCMC algorithm

select

Selecting the best graphs

bdgraph.sim

Data generator according to graph structure

prob

Posterior probabilities for most highest graphs or specific graph

print.bdgraph

Print function for "bdgraph" output

plotcoda

Convergency plots

summary.bdgraph

Summary function for "bdgraph" output

print.simulate

Print function for "bdgraph.sim" output

phat

Posterior edge inclusion probabilities

compare

Comparing the results according to the true graph

I.g

Normalizing constant of G-Wishart distribution

plot.bdgraph

Plot function for "bdgraph" output

traceplot

Trace plot of graph size

BDgraph-package

Graph determination based on birth-death MCMC

plot.simulate

Plot function for "bdgraph.sim" output

CellSignal

A flow cytometry dataset

densplot

Plot of posterior distribution for graph size