Package: BayesianGLasso
Title: Bayesian Graphical Lasso
Version: 0.2.0
Authors@R: c(person("Patrick","Trainor",email="patrick.trainor@louisville.edu", role = c("aut", "cre")),person("Hao","Wang",email="haowang@msu.edu",role="aut"))
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) <doi:10.1214/12-BA729>.
Depends: R (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: statmod, MASS
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-18 22:45:03 UTC; patrick
Author: Patrick Trainor [aut, cre],
  Hao Wang [aut]
Maintainer: Patrick Trainor <patrick.trainor@louisville.edu>
Repository: CRAN
Date/Publication: 2017-07-19 10:52:36 UTC
Built: R 4.6.0; ; 2026-04-25 16:51:52 UTC; unix
