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:
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