MBSGS: Multivariate Bayesian Sparse Group Selection with Spike and Slab (original) (raw)
An implementation of a Bayesian sparse group model using spike and slab priors in a regression context. It is designed for regression with a multivariate response variable, but also provides an implementation for univariate response.
| Version: | 1.2.0 |
|---|---|
| Imports: | MCMCpack, MASS, mgcv, mnormt, truncnorm |
| Published: | 2025-11-08 |
| DOI: | 10.32614/CRAN.package.MBSGS |
| Author: | Benoit Liquet [aut, cre], Matthew Sutton [aut] |
| Maintainer: | Benoit Liquet <benoit.liquet at univ-pau.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | no |
| CRAN checks: | MBSGS results |
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