HybridMTest: Hybrid Multiple Testing

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.

Package details

AuthorStan Pounds <stanley.pounds@stjude.org>, Demba Fofana <demba.fofana@stjude.org>
Bioconductor views GeneExpression Genetics Microarray
MaintainerDemba Fofana <demba.fofana@stjude.org>
LicenseGPL Version 2 or later
Version1.34.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("HybridMTest")

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HybridMTest documentation built on Nov. 8, 2020, 8:29 p.m.