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>.
Version: 0.2.0 Depends: R (≥ 3.0.0) Imports: statmod, MASS Published: 2017-07-19 DOI: 10.32614/CRAN.package.BayesianGLasso Author: Patrick Trainor [aut, cre], Hao Wang [aut] Maintainer: Patrick Trainor <patrick.trainor at louisville.edu> License: GPL-3 NeedsCompilation: no In views: Bayesian CRAN checks: BayesianGLasso results Documentation: Reference manual: BayesianGLasso.pdf Downloads: Package source: BayesianGLasso_0.2.0.tar.gz Windows binaries: r-devel: BayesianGLasso_0.2.0.zip, r-release: BayesianGLasso_0.2.0.zip, r-oldrel: BayesianGLasso_0.2.0.zip macOS binaries: r-release (arm64): BayesianGLasso_0.2.0.tgz, r-oldrel (arm64): BayesianGLasso_0.2.0.tgz, r-release (x86_64): BayesianGLasso_0.2.0.tgz, r-oldrel (x86_64): BayesianGLasso_0.2.0.tgz Linking:Please use the canonical form https://CRAN.R-project.org/package=BayesianGLasso to link to this page.
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