HybridMTest

DOI: 10.18129/B9.bioc.HybridMTest    

Hybrid Multiple Testing

Bioconductor version: Release (3.6)

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")

 

PDF	R Script	Hybrid Multiple Testing
PDF		Reference Manual

Details

biocViews	GeneExpression, Genetics, Microarray, Software
Version	1.22.0
In Bioconductor since	BioC 2.10 (R-2.15) (6 years)
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.

Source Package	HybridMTest_1.22.0.tar.gz
Windows Binary	HybridMTest_1.22.0.zip
Mac OS X 10.11 (El Capitan)	HybridMTest_1.22.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/HybridMTest
Package Short Url	http://bioconductor.org/packages/HybridMTest/
Package Downloads Report	Download Stats