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BDgraph (version 2.23)

Bayesian Graph Selection Based on Birth-Death MCMC Approach

Description

Provides statistical tools for Bayesian structure learning in undirected graphical models with either continuous or discrete variables. The main target is to uncover complicated patterns in multivariate data wherein either continuous or discrete variables.

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Version

Install

install.packages('BDgraph')

Monthly Downloads

2,168

Version

2.23

License

GPL (>= 3)

Maintainer

Abdolreza Mohammadi

Last Published

September 30th, 2015

Functions in BDgraph (2.23)

BDgraph-internal

Internal BDgraph functions and datasets
bdgraph.npn

Nonparametric transfer
plotroc

ROC plot
plotcoda

Convergence plot
traceplot

Trace plot of graph size
bdgraph

Search algorithm in graphical models
rgwish

Sampling from G-Wishart distribution
log_Ig

Log of the normalizing constant of G-Wishart distribution
surveyData

Labor force survey data
CellSignal

A flow cytometry dataset
select

Graph selection
print.sim

Print function for S3 class "sim"
compare

Comparing the result
plot.bdgraph

Plot function for S3 class "bdgraph"
phat

Estimated posterior link probabilities
summary.bdgraph

Summary function for S3 class "bdgraph"
geneExpression

Human gene expression dataset
prob

Posterior probabilities of the graphs
BDgraph-package

Bayesian Structure Learning in Graphical Models
rwish

Sampling from Wishart distribution
bdgraph.sim

Synthetic graph data generator
plot.sim

Plot function for S3 class "sim"
print.bdgraph

Print function for S3 class "bdgraph"