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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.
Getting started
Browse package contents
Package details |
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| Author | Benoit Liquet, Matthew Sutton |
| Maintainer | Benoit Liquet <benoit.liquet@qut.edu.au> |
| License | GPL (>= 2.0) |
| Version | 1.1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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