mBvs: Multivariate Bayesian Variable Selection Method Exploiting Dependence among Outcomes
Version 1.0

Bayesian variable selection methods for data with continuous multivariate responses and multiple covariates.

AuthorKyu Ha Lee, Mahlet G. Tadesse, Brent A. Coull
Date of publication2015-12-05 18:20:09
MaintainerKyu Ha Lee <klee@hsph.harvard.edu>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mBvs")

Getting started

Package overview

Popular man pages

mBvs-package: Multivariate Bayesian variable selection method exploiting...
methods: Methods for objects of class, 'mvnBvs'.
mvnBvs: The function to perform variable selection for multivariate...
simData: A simulated data set
See all...

All man pages Function index File listing

Man pages

mBvs-package: Multivariate Bayesian variable selection method exploiting...
methods: Methods for objects of class, 'mvnBvs'.
mvnBvs: The function to perform variable selection for multivariate...
simData: A simulated data set

Functions

mBvs Man page
mBvs-package Man page
mvnBvs Man page Source code
print.mvnBvs Man page Source code
print.summ.mvnBvs Man page Source code
simData Man page
summary.mvnBvs Man page Source code

Files

src
src/Makevars
src/Utilities.c
src/MBVSus.c
src/MBVSfa.h
src/MBVSus.h
src/MBVSfa.c
src/MBVSus_Updates.c
src/MBVSfa_Updates.c
NAMESPACE
data
data/simData.rda
R
R/methods.R
R/mvnBvs.R
MD5
DESCRIPTION
man
man/mBvs-package.Rd
man/simData.Rd
man/mvnBvs.Rd
man/methods.Rd
mBvs documentation built on May 19, 2017, 3:47 p.m.

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