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.zip(r-4.7-any)MBSP_5.0.zip(r-4.6-any)
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✨
DESCRIPTION
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.

1.30 score 388 downloads 2 mentions 2 exports 12 dependencies

Last updated from:1afaf39e95. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK133
source / vignettesOK203
linux-releaseOK135
windows-develOK95
windows-releaseOK80
wasm-releaseOK95

Exports:matrix_normalMBSP

Dependencies:codaGIGrvglatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregSparseMsurvival