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mBvs  

Bayesian Variable Selection Methods for Multivariate Data
View on CRAN: Click here


Download and install mBvs package within the R console
Install from CRAN:
install.packages("mBvs")

Install from Github:
library("remotes")
install_github("cran/mBvs")

Install by package version:
library("remotes")
install_version("mBvs", "1.92")



Attach the package and use:
library("mBvs")
Maintained by
Kyu Ha Lee
[Scholar Profile | Author Map]
First Published: 2015-12-05
Latest Update: 2023-02-06
Description:
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 ) and zero-inflated count data (Lee et al., Biostatistics, 2020 ).
How to cite:
Kyu Ha Lee (2015). mBvs: Bayesian Variable Selection Methods for Multivariate Data. R package version 1.92, https://cran.r-project.org/web/packages/mBvs. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0 (2015-12-05 18:20), 1.1 (2017-10-29 05:06), 1.3 (2018-08-28 09:12), 1.4 (2021-02-04 00:50), 1.5 (2021-06-17 10:30), 1.6 (2023-02-06 22:22)
Other packages that cited mBvs R package
View mBvs citation profile
Other R packages that mBvs depends, imports, suggests or enhances
Complete documentation for mBvs
Functions, R codes and Examples using the mBvs R package
Some associated functions: mBvs-package . methods . mvnBvs . mzipBvs . simData_cont . simData_mzip . 
Some associated R codes: methods.R . mvnBvs.R . mzipBvs.R .  Full mBvs package functions and examples
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