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BayesianGLasso (version 0.2.0)

Bayesian Graphical Lasso

Description

Implements a data-augmented block Gibbs sampler for simulating the posterior distribution of concentration matrices for specifying the topology and parameterization of a Gaussian Graphical Model (GGM). This sampler was originally proposed in Wang (2012) .

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Install

install.packages('BayesianGLasso')

Monthly Downloads

207

Version

0.2.0

License

GPL-3

Maintainer

Patrick Trainor

Last Published

July 19th, 2017

Functions in BayesianGLasso (0.2.0)

blockGLasso

Block Gibbs sampler function