Package: BayesianGLasso 0.2.0

BayesianGLasso: Bayesian Graphical Lasso

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>.

Authors:Patrick Trainor [aut, cre], Hao Wang [aut]

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BayesianGLasso/json (API)

# Install 'BayesianGLasso' in R:

install.packages('BayesianGLasso', repos = c('https://trainorp.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 stars 10 scripts 206 downloads 1 exports 2 dependencies

Last updated 7 years agofrom:8ffa9ba9fc. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-win	OK	Oct 31 2024
R-4.5-linux	OK	Oct 31 2024
R-4.4-win	OK	Oct 31 2024
R-4.4-mac	OK	Oct 31 2024
R-4.3-win	OK	Oct 31 2024
R-4.3-mac	OK	Oct 31 2024