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BDgraph (version 2.60)

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) , Mohammadi and Wit (2019) .

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Version

Install

install.packages('BDgraph')

Monthly Downloads

2,168

Version

2.60

License

GPL (>= 2)

Maintainer

Abdolreza Mohammadi

Last Published

August 8th, 2019

Functions in BDgraph (2.60)

Graph structure comparison

Search algorithm in time series graphical models

Graph data simulation

Nonparametric transfer

BDgraph-package

Bayesian Structure Learning in Graphical Models

Search algorithm in graphical models using marginal pseudo-likehlihood

Search algorithm in graphical models

Estimated covariance matrix

Human gene expression dataset

Posterior probabilities of the graphs

Risk factors of coronary heart disease

Estimated posterior link probabilities

Plot function for S3 class "sim"

Convergence plot

Sampling from complex G-Wishart distribution

Plot function for S3 class "bdgraph"

Sampling from G-Wishart distribution

Plot function for S3 class "graph"

Normalizing constant for G-Wishart

Graph simulation

Labor force survey data

summary.bdgraph

Summary function for S3 class "bdgraph"

Trace plot of graph size

Estimated precision matrix

Print function for S3 class "bdgraph"

Print function for S3 class "sim"

transfer for discrete data

Sampling from Wishart distribution

Generate data from the multivariate Normal distribution

Graph selection