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: 1.5
Depends: R (≥ 3.5.0)
Published: 2021-06-17
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

Documentation:

Reference manual: mBvs.pdf

Downloads:

Package source: mBvs_1.5.tar.gz
Windows binaries: r-devel: mBvs_1.5.zip, r-devel-UCRT: mBvs_1.5.zip, r-release: mBvs_1.5.zip, r-oldrel: mBvs_1.5.zip
macOS binaries: r-release (arm64): mBvs_1.5.tgz, r-release (x86_64): mBvs_1.5.tgz, r-oldrel: mBvs_1.5.tgz
Old sources: mBvs archive

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