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) . 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] (), Mohammad Arashi [aut] (), Andriette Bekker [aut] () Maintainer: Jarod Smith Repository: CRAN Date/Publication: 2021-07-13 22:10:05 UTC