bvsflex: Integrative Bayesian variable selection with flexible priors
Version 0.48

The BVSflex package implements efficient Bayesian variable selection models for high-dimensional input data. A flexible selection prior allows the incorporation of additional information, e.g. a second data source including all sources of variation.

Browse man pages Browse package API and functions Browse package files

AuthorManuela Zucknick, Manuel Wiesenfarth
Date of publication2015-10-07 23:06:08
MaintainerManuela Zucknick <m.k.zucknick@medisin.uio.no>
LicenseGPL-2
Version0.48
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bvsflex", repos="http://R-Forge.R-project.org")

Getting started

Man pages

logisticVS: Logistic Bayesian variable selection

Functions

FDR Source code
ROC Source code
VarOfVar Source code
callBVS Source code
callBVSelicit Source code
elicitGamma Source code
elicitPhi Source code
find.delta Source code
find.var Source code
getBVSflex Source code
logisticVS Man page Source code
plotACF Source code
plotBeta Source code
plotBetaGamma Source code
plotGamma Source code
plotPaths Source code
predict.bvsflex Source code
print.summary.bvsflex Source code
resampleVar Source code
rtruncBeta Source code
summary.bvsflex Source code

Files

DESCRIPTION
NAMESPACE
R
R/auxiliaries.R
R/callBVS.R
R/callBVSelicit.R
R/logisticVS.R
R/rtruncBeta.R
man
man/logisticVS.Rd
src
src/Makevars
src/logisticVS.c
bvsflex documentation built on May 21, 2017, 12:15 a.m.