Adaptive Bayesian Graphical Lasso

Implements a Bayesian adaptive graphical lasso data-augmented block Gibbs sampler. The sampler simulates the posterior distribution of precision matrices of a Gaussian Graphical Model. This sampler was adapted from the original MATLAB routine proposed in Wang (2012) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.1 by Jarod Smith, 7 months ago

Browse source code at

Authors: Jarod Smith [aut, cre] , Mohammad Arashi [aut] , Andriette Bekker [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports MASS, pracma, stats, statmod

Suggests testthat

See at CRAN