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 DOI: 10.32614/CRAN.package.MBSGS 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 Documentation: Reference manual: MBSGS.pdf Downloads: 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=MBSGS to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4