{"name":"mBvs-package","title":"Multivariate Bayesian variable selection method exploiting dependence among outcomes","pagetitle":"Multivariate Bayesian variable selection method exploiting dependence among outcomes — mBvs-package","aliases":["mBvs-package","mBvs"],"author":"\nKyu Ha Lee, Mahlet G. Tadesse, Brent A. Coull \nMaintainer: Kyu Ha Lee <klee@hsph.harvard.edu>\n","keywords":" package ","description":"

The package provides functions to perform Bayesian variable selection for data with continuous multivariate responses and multiple covariates.

","sections":[],"details":"

The package includes the following function:

\n\n

\nmvnBvs Bayesian variable selection for data with continuous multivariate responses

\n\n\n\n\n\n\n\n\n\n\n\n\n

\nPackage:	mBvs
\nType:	Package
\nVersion:	1.0
\nDate:	2015-12-04
\nLicense:	GPL (>= 2)
\nLazyLoad:	yes

","references":"

Lee, K. H., Tadesse, M. G., Baccarelli, A. A., Schwartz J., and Coull, B. A. (2015), \nMultivariate Bayesian Variable Selection Exploiting Dependence Structure Among Outcomes: \nApplication to Air Pollution Effects on DNA Methylation, submitted.

","package":{"package":"mBvs","version":"1.0"}}

Description

Arguments

Details

References