HybridMTest

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see HybridMTest.

Hybrid Multiple Testing

Bioconductor version: 3.2

Performs hybrid multiple testing that incorporates method selection and assumption evaluations into the analysis using empirical Bayes probability (EBP) estimates obtained by Grenander density estimation. For instance, for 3-group comparison analysis, Hybrid Multiple testing considers EBPs as weighted EBPs between F-test and H-test with EBPs from Shapiro Wilk test of normality as weigth. Instead of just using EBPs from F-test only or using H-test only, this methodology combines both types of EBPs through EBPs from Shapiro Wilk test of normality. This methodology uses then the law of total EBPs.

Author: Stan Pounds <stanley.pounds at stjude.org>, Demba Fofana <demba.fofana at stjude.org>

Maintainer: Demba Fofana <demba.fofana at stjude.org>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("HybridMTest")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("HybridMTest")

Details

Package Archives

Follow Installation instructions to use this package in your R session.