Package: MBSGS 1.2.0

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.

Authors:Benoit Liquet [aut, cre], Matthew Sutton [aut]

MBSGS_1.2.0.tar.gz
MBSGS_1.2.0.zip(r-4.7)MBSGS_1.2.0.zip(r-4.6)MBSGS_1.2.0.zip(r-4.5)
MBSGS_1.2.0.tgz(r-4.6-any)MBSGS_1.2.0.tgz(r-4.5-any)
MBSGS_1.2.0.tar.gz(r-4.7-any)MBSGS_1.2.0.tar.gz(r-4.6-any)
MBSGS_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MBSGS/json (API)

# Install 'MBSGS' in R:
install.packages('MBSGS', repos = c('https://benoit-liquet.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.53 score 2 stars 17 scripts 134 downloads 12 exports 14 dependencies

Last updated from:29f5d542f4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK831
source / vignettesOK160
linux-release-x86_64OK116
macos-release-arm64OK174
macos-oldrel-arm64OK171
windows-develOK82
windows-releaseOK136
windows-oldrelOK97
wasm-releaseOK90

Exports:BGLSSBGLSS_EM_lambdaBSGSSSBSGSSS_EM_tgen_data_Multigen_data_uniMBGLSSMBGLSS_EM_lambdaMBSGSSSMBSGSSS_EM_tMnormalizenormalize

Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackmgcvmnormtnlmequantregSparseMsurvivaltruncnorm