source("http://bioconductor.org/biocLite.R")
biocLite("HybridMTest")

HybridMTest

Hybrid Multiple Testing

Bioconductor version: 2.13

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:

source("http://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")

 

PDF	R Script	Hybrid Multiple Testing
PDF		Reference Manual

Details

biocViews	Bioinformatics, GeneExpression, Genetics, Microarray, Software
Version	1.6.0
In Bioconductor since	BioC 2.10 (R-2.15)
License	GPL Version 2 or later
Depends	R (>= 2.9.0), Biobase, fdrtool, MASS, survival
Imports	stats
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Package Archives

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

Package Source	HybridMTest_1.6.0.tar.gz
Windows Binary	HybridMTest_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	HybridMTest_1.6.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats