This is the released version of HybridMTest; for the devel version, see HybridMTest.
Hybrid Multiple TestingBioconductor version: Release (3.21)
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>
Citation (from within R, entercitation("HybridMTest")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HybridMTest")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HybridMTest")
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Follow Installation instructions to use this package in your R session.
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