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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>).
Getting started
Browse package contents
Package details |
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| Author | Kyu Ha Lee, Mahlet G. Tadesse, Brent A. Coull, Jacqueline R. Starr |
| Maintainer | Kyu Ha Lee <klee15239@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.6 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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