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mBvs (version 1.92)

Bayesian Variable Selection Methods for Multivariate Data

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 ).

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Version

Install

install.packages('mBvs')

Monthly Downloads

254

Version

1.92

License

GPL (>= 2)

Maintainer

Kyu Lee

Last Published

April 15th, 2024

Functions in mBvs (1.92)

initiate_startValues

The function that initiates starting values
mBvs-package

Bayesian Variable Selection Methods for Multivariate Data
simData_mzip

A simulated data set containing multivariate zero-inflated count responses and a continuous covariate
methods

Methods for objects of class, mvnBvs, mzipBvs, and mmzipBvs.
simData_cont

A simulated data set containing multivariate normal responses and continuous covariates
mmzipBvs

The function to perform variable selection for marginalized multivariate zero-inflated Poisson models
mvnBvs

The function to perform variable selection for multivariate normal responses
mzipBvs

The function to perform variable selection for conditional multivariate zero-inflated Poisson models