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BDgraph (version 2.57)

Bayesian Structure Learning in Graphical Models using Birth-Death MCMC

Description

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) , Letac et al. (2018) , Dobra and Mohammadi (2018) , Mohammadi et al. (2017) . To speed up the computations, the BDMCMC sampling algorithms are implemented in parallel using OpenMP in C++.

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Version

Install

install.packages('BDgraph')

Monthly Downloads

1,909

Version

2.57

License

GPL (>= 2)

Maintainer

Abdolreza Mohammadi

Last Published

April 7th, 2019

Functions in BDgraph (2.57)

print.bdgraph

Print function for S3 class "bdgraph"
bdgraph

Search algorithm in graphical models
plot.graph

Plot function for S3 class "graph"
rgcwish

Sampling from complex G-Wishart distribution
plot.sim

Plot function for S3 class "sim"
reinis

Risk factors of coronary heart disease
print.sim

Print function for S3 class "sim"
graph.sim

Graph simulation
select

Graph selection
rwish

Sampling from Wishart distribution
plinks

Estimated posterior link probabilities
plotcoda

Convergence plot
plot.bdgraph

Plot function for S3 class "bdgraph"
traceplot

Trace plot of graph size
summary.bdgraph

Summary function for S3 class "bdgraph"
plotroc

ROC plot
surveyData

Labor force survey data
transfer

transfer for discrete data
rgwish

Sampling from G-Wishart distribution
pgraph

Posterior probabilities of the graphs
rmvnorm

Generate data from the multivariate Normal distribution
bdgraph.mpl

Search algorithm in graphical models using marginal pseudo-likehlihood
churn

Churn data set
bdgraph.npn

Nonparametric transfer
compare

Graph structure comparison
BDgraph-package

Bayesian Structure Learning in Graphical Models
geneExpression

Human gene expression dataset
gnorm

Normalizing constant for G-Wishart
bdgraph.ts

Search algorithm in time series graphical models
bdgraph.sim

Graph data simulation