mBvs: Bayesian Variable Selection Methods for Multivariate Data

Bayesian variable selection methods for data with multivariate responses and multiple covariates. The package contains implementations of multivariate Bayesian variable selection methods for continuous data (Lee et al., Biometrics, 2017 <doi:10.1111/biom.12557>) and zero-inflated count data (Lee et al., Biostatistics, 2020 <doi:10.1093/biostatistics/kxy067>).

Version: 1.92
Depends: mvtnorm, R (≥ 3.5.0)
Published: 2024-04-15
DOI: 10.32614/CRAN.package.mBvs
Author: Kyu Ha Lee, Mahlet G. Tadesse, Brent A. Coull, Jacqueline R. Starr
Maintainer: Kyu Ha Lee <klee15239 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: mBvs results


Reference manual: mBvs.pdf


Package source: mBvs_1.92.tar.gz
Windows binaries: r-devel: mBvs_1.92.zip, r-release: mBvs_1.92.zip, r-oldrel: mBvs_1.92.zip
macOS binaries: r-release (arm64): mBvs_1.92.tgz, r-oldrel (arm64): mBvs_1.92.tgz, r-release (x86_64): mBvs_1.92.tgz, r-oldrel (x86_64): mBvs_1.92.tgz
Old sources: mBvs archive


Please use the canonical form https://CRAN.R-project.org/package=mBvs to link to this page.