baygel: Bayesian Estimators for Gaussian Graphical Models
Implements a Bayesian graphical ridge data-augmented block Gibbs sampler. The sampler simulates the posterior distribution of precision matrices of a Gaussian Graphical Model. This sampler is proposed in Smith, Arashi, and Bekker (2022) <doi:10.48550/arXiv.2210.16290>.
| Version: | 0.1.0 |
| Imports: | Rcpp (≥ 1.0.8), RcppArmadillo (≥ 0.11.1.1.0) |
| LinkingTo: | Rcpp, RcppArmadillo, RcppProgress |
| Suggests: | MASS, pracma |
| Published: | 2023-01-30 |
| Author: | Jarod Smith  [aut,
cre],
Mohammad Arashi
[aut],
Andriette Bekker
[aut] |
| Maintainer: | Jarod Smith <jarodsmith706 at gmail.com> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/Jarod-Smithy/baygel |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | baygel results |
Documentation:
| Reference manual: | baygel.pdf |
Downloads:
| Package source: | baygel_0.1.0.tar.gz |
| Windows binaries: | r-devel: baygel_0.1.0.zip, r-release: baygel_0.1.0.zip, r-oldrel: baygel_0.1.0.zip |
| macOS binaries: | r-release (arm64): baygel_0.1.0.tgz, r-oldrel (arm64): baygel_0.1.0.tgz, r-release (x86_64): baygel_0.1.0.tgz, r-oldrel (x86_64): baygel_0.1.0.tgz |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=baygel to link to this page.