MBSGS
Multivariate Bayesian Sparse Group Selection with Spike and Slab
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.0 |
rolling linux/jammy R-4.5 | MBSGS_1.2.0.tar.gz |
95.3 KiB |
1.2.0 |
rolling linux/noble R-4.5 | MBSGS_1.2.0.tar.gz |
95.2 KiB |
1.2.0 |
rolling source/ R- | MBSGS_1.2.0.tar.gz |
9.7 KiB |
1.2.0 |
latest linux/jammy R-4.5 | MBSGS_1.2.0.tar.gz |
95.3 KiB |
1.2.0 |
latest linux/noble R-4.5 | MBSGS_1.2.0.tar.gz |
95.2 KiB |
1.2.0 |
latest source/ R- | MBSGS_1.2.0.tar.gz |
9.7 KiB |
1.2.0 |
2026-04-26 source/ R- | MBSGS_1.2.0.tar.gz |
9.7 KiB |
1.2.0 |
2026-04-23 source/ R- | MBSGS_1.2.0.tar.gz |
9.7 KiB |
1.2.0 |
2026-04-09 windows/windows R-4.5 | MBSGS_1.2.0.zip |
97.5 KiB |
1.1.0 |
2025-04-20 source/ R- | MBSGS_1.1.0.tar.gz |
9.3 KiB |