BGGM (version 2.1.1)

Bayesian Gaussian Graphical Models

Description

Fit Bayesian Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing and estimation. There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability. These methods were recently introduced in the Gaussian graphical model literature, including Williams (2019) , Williams and Mulder (2019) , Williams, Rast, Pericchi, and Mulder (2019) .

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Install

install.packages('BGGM')

Monthly Downloads

23,226

Version

2.1.1

License

GPL-2

Maintainer

Last Published

February 23rd, 2024

Functions in BGGM (2.1.1)