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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>).

Versions across snapshots

VersionRepositoryFileSize
1.92 rolling linux/jammy R-4.5 mBvs_1.92.tar.gz 96.6 KiB
1.92 rolling linux/noble R-4.5 mBvs_1.92.tar.gz 96.6 KiB
1.92 rolling source/ R- mBvs_1.92.tar.gz 96.6 KiB
1.92 latest linux/jammy R-4.5 mBvs_1.92.tar.gz 96.6 KiB
1.92 latest linux/noble R-4.5 mBvs_1.92.tar.gz 96.6 KiB
1.92 latest source/ R- mBvs_1.92.tar.gz 96.6 KiB
1.92 2026-04-26 source/ R- mBvs_1.92.tar.gz 96.6 KiB
1.92 2026-04-23 source/ R- mBvs_1.92.tar.gz 96.6 KiB
1.92 2026-04-09 windows/windows R-4.5 mBvs_1.92.zip 472.1 KiB
1.92 2025-04-20 source/ R- mBvs_1.92.tar.gz 96.6 KiB

Dependencies (latest)

Depends