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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: | 1.1.0 |
| Imports: | MCMCpack, MASS, mgcv, mnormt, truncnorm |
| Published: | 2017-08-09 |
| Author: | Benoit Liquet, Matthew Sutton |
| Maintainer: | Benoit Liquet <benoit.liquet at qut.edu.au> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | no |
| CRAN checks: | MBSGS results |
| Reference manual: | MBSGS.pdf |
| Package source: | MBSGS_1.1.0.tar.gz |
| Windows binaries: | r-devel: MBSGS_1.1.0.zip, r-release: MBSGS_1.1.0.zip, r-oldrel: MBSGS_1.1.0.zip |
| macOS binaries: | r-release (arm64): MBSGS_1.1.0.tgz, r-oldrel (arm64): MBSGS_1.1.0.tgz, r-release (x86_64): MBSGS_1.1.0.tgz, r-oldrel (x86_64): MBSGS_1.1.0.tgz |
| Old sources: | MBSGS archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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