Package: MBSGS 1.1.0
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:
MBSGS_1.1.0.tar.gz
MBSGS_1.1.0.zip(r-4.5)MBSGS_1.1.0.zip(r-4.4)MBSGS_1.1.0.zip(r-4.3)
MBSGS_1.1.0.tgz(r-4.5-any)MBSGS_1.1.0.tgz(r-4.4-any)MBSGS_1.1.0.tgz(r-4.3-any)
MBSGS_1.1.0.tar.gz(r-4.5-noble)MBSGS_1.1.0.tar.gz(r-4.4-noble)
MBSGS_1.1.0.tgz(r-4.4-emscripten)MBSGS_1.1.0.tgz(r-4.3-emscripten)
MBSGS.pdf |MBSGS.html✨
MBSGS/json (API)
| # Install 'MBSGS' in R: |
| install.packages('MBSGS', repos = c('https://benoit-liquet.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:971fb7f320. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 29 2025 |
| R-4.5-win | OK | Mar 29 2025 |
| R-4.5-mac | OK | Mar 29 2025 |
| R-4.5-linux | OK | Mar 29 2025 |
| R-4.4-win | OK | Mar 29 2025 |
| R-4.4-mac | OK | Mar 29 2025 |
| R-4.4-linux | OK | Mar 29 2025 |
| R-4.3-win | OK | Mar 29 2025 |
| R-4.3-mac | OK | Mar 29 2025 |
Exports:BGLSSBGLSS_EM_lambdaBSGSSSBSGSSS_EM_tgen_data_Multigen_data_uniMBGLSSMBGLSS_EM_lambdaMBSGSSSMBSGSSS_EM_tMnormalizenormalize
Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackmgcvmnormtnlmequantregSparseMsurvivaltruncnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Group Lasso with Spike and Slab prior | BGLSS |
| Bayesian Sparse Group Selection with Spike and Slab priors | BSGSSS |
| Multivariate Bayesian Group Lasso with Spike and Slab prior | MBGLSS |
| Internal Functions | BGLSS_EM_lambda BSGSSS_EM_t gen_data_Multi gen_data_uni MBGLSS_EM_lambda MBSGSSS_EM_t Mnormalize normalize |
| Multivariate Bayesian Sparse Group Selection with Spike and Slab priors | MBSGSSS |
