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BayesianGLasso  

Bayesian Graphical Lasso
View on CRAN: Click here


Download and install BayesianGLasso package within the R console
Install from CRAN:
install.packages("BayesianGLasso")

Install from Github:
library("remotes")
install_github("cran/BayesianGLasso")

Install by package version:
library("remotes")
install_version("BayesianGLasso", "0.2.0")



Attach the package and use:
library("BayesianGLasso")
Maintained by
Patrick Trainor
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-19
Latest Update: 2017-07-19
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) .
How to cite:
Patrick Trainor (2017). BayesianGLasso: Bayesian Graphical Lasso. R package version 0.2.0, https://cran.r-project.org/web/packages/BayesianGLasso. Accessed 03 Jul. 2026.
Previous versions and publish date:
0.2.0 (2017-07-19 12:52)
Other packages that cited BayesianGLasso R package
View BayesianGLasso citation profile
Other R packages that BayesianGLasso depends, imports, suggests or enhances
Complete documentation for BayesianGLasso
Functions, R codes and Examples using the BayesianGLasso R package
Some associated functions: blockGLasso . 
Some associated R codes: blockGLasso.R .  Full BayesianGLasso package functions and examples
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