Hybrid Multiple Testing

Bioconductor version: Development (3.0)

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>

To install this package, start R and enter:


Citation (from within R, enter citation("HybridMTest")):


PDF R Script Hybrid Multiple Testing
PDF   Reference Manual


biocViews GeneExpression, Genetics, Microarray, Software
Version 1.9.0
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
System Requirements
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source HybridMTest_1.9.0.tar.gz
Windows Binary HybridMTest_1.9.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) HybridMTest_1.9.0.tgz
Mac OS X 10.9 (Mavericks) HybridMTest_1.9.0.tgz
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