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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>.
Getting started
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Package details |
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| Author | Jarod Smith [aut, cre] (<https://orcid.org/0000-0003-4235-6147>), Mohammad Arashi [aut] (<https://orcid.org/0000-0003-4793-5674>), Andriette Bekker [aut] (<https://orcid.org/0000-0002-5881-9241>) |
| Maintainer | Jarod Smith <jarodsmith706@gmail.com> |
| License | GPL-3 |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
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