abglasso: Adaptive Bayesian Graphical Lasso
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>.
| Version: | 0.1.1 |
| Imports: | MASS, pracma, stats, statmod |
| Suggests: | testthat |
| Published: | 2021-07-13 |
| DOI: | 10.32614/CRAN.package.abglasso |
| Author: | Jarod Smith  [aut,
cre],
Mohammad Arashi
[aut],
Andriette Bekker
[aut] |
| Maintainer: | Jarod Smith <jarodsmith706 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| In views: | Bayesian |
| CRAN checks: | abglasso results |
Documentation:
| Reference manual: | abglasso.html , abglasso.pdf |
Downloads:
| Package source: | abglasso_0.1.1.tar.gz |
| Windows binaries: | r-devel: abglasso_0.1.1.zip, r-release: abglasso_0.1.1.zip, r-oldrel: abglasso_0.1.1.zip |
| macOS binaries: | r-release (arm64): abglasso_0.1.1.tgz, r-oldrel (arm64): abglasso_0.1.1.tgz, r-release (x86_64): abglasso_0.1.1.tgz, r-oldrel (x86_64): abglasso_0.1.1.tgz |
| Old sources: | abglasso archive |
Linking:
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