Package: MBSP 4.0
Ray Bai
MBSP: Multivariate Bayesian Model with Shrinkage Priors
Gibbs sampler for fitting multivariate Bayesian linear regression with shrinkage priors (MBSP), using the three parameter beta normal family. The method is described in Bai and Ghosh (2018) <doi:10.1016/j.jmva.2018.04.010>.
Authors:
MBSP_4.0.tar.gz
MBSP_4.0.tar.gz(r-4.5-noble)MBSP_4.0.tar.gz(r-4.4-noble)
MBSP_4.0.tgz(r-4.4-emscripten)MBSP_4.0.tgz(r-4.3-emscripten)
MBSP.pdf |MBSP.html✨
MBSP/json (API)
| # Install 'MBSP' in R: |
| install.packages('MBSP', repos = c('https://cran.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 2 years agofrom:ce294c6e38. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
Exports:matrix_normalMBSP
Dependencies:codaGIGrvglatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Matrix-Normal Distribution | matrix_normal |
| MBSP Model with Three Parameter Beta Normal (TPBN) Family | MBSP |