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 |
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:
Downloads:
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