Package: abglasso
Title: Adaptive Bayesian Graphical Lasso
Version: 0.1.1
Authors@R: c(person("Jarod", "Smith", email = "jarodsmith706@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4235-6147")),
  person("Mohammad", "Arashi", email = "arashi@um.ac.ir", role = "aut", comment = c(ORCID = "0000-0003-4793-5674")),
  person("Andriette", "Bekker", email = "andriette.bekker@up.ac.za", role = "aut", comment = c(ORCID = "0000-0002-5881-9241")))
Description: 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) <doi:10.1214/12-BA729>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1.9000
Imports: MASS, pracma, stats, statmod
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-07-13 08:43:20 UTC; QXZ0GWG
Author: Jarod Smith [aut, cre] (<https://orcid.org/0000-0003-4235-6147>),
  Mohammad Arashi [aut] (<https://orcid.org/0000-0003-4793-5674>),
  Andriette Bekker [aut] (<https://orcid.org/0000-0002-5881-9241>)
Maintainer: Jarod Smith <jarodsmith706@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-13 22:10:05 UTC
Built: R 4.6.0; ; 2026-04-27 05:40:42 UTC; unix
