Package: MBSP 5.0

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:Ray Bai [aut, cre]

MBSP_5.0.tar.gz
MBSP_5.0.tar.gz(r-4.7-any)MBSP_5.0.tar.gz(r-4.6-any)
MBSP_5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
MBSP/json (API)

# Install 'MBSP' in R:
install.packages('MBSP', repos = c('https://cran.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.

1.00 score 6 scripts 283 downloads 2 exports 12 dependencies

Last updated from:1afaf39e95. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK125
source / vignettesOK197
linux-release-x86_64OK132
wasm-releaseOK88

Exports:matrix_normalMBSP

Dependencies:codaGIGrvglatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregSparseMsurvival