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Hybrid Multiple Testing

Bioconductor version: Release (3.19)

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>, Demba Fofana <demba.fofana at>

Maintainer: Demba Fofana <demba.fofana at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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Hybrid Multiple Testing PDF R Script
Reference Manual PDF


biocViews GeneExpression, Genetics, Microarray, Software
Version 1.48.0
In Bioconductor since BioC 2.10 (R-2.15) (12.5 years)
License GPL Version 2 or later
Depends R (>= 2.9.0), Biobase, fdrtool, MASS, survival
Imports stats
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Source Package HybridMTest_1.48.0.tar.gz
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