Package: HybridMTest 1.51.0

Demba Fofana

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.

Authors:Stan Pounds <[email protected]>, Demba Fofana <[email protected]>

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HybridMTest.pdf |HybridMTest.html
HybridMTest/json (API)

# Install 'HybridMTest' in R:
install.packages('HybridMTest', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On BioConductor:HybridMTest-1.51.0(bioc 3.21)HybridMTest-1.50.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

geneexpressiongeneticsmicroarray

4.38 score 1 packages 5 scripts 456 downloads 4 mentions 8 exports 8 dependencies

Last updated 4 months agofrom:a4de83e282. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 03 2025
R-4.5-winNOTEFeb 03 2025
R-4.5-macNOTEFeb 03 2025
R-4.5-linuxNOTEFeb 03 2025
R-4.4-winNOTEFeb 03 2025
R-4.4-macNOTEFeb 03 2025
R-4.3-winNOTEFeb 03 2025
R-4.3-macNOTEFeb 03 2025

Exports:grenander.ebphybrid.testrow.kgrp.shapirorow.kruskal.wallisrow.oneway.anovarow.pearsonrow.slr.shapirorow.spearman

Dependencies:BiobaseBiocGenericsfdrtoolgenericslatticeMASSMatrixsurvival

Hybrid Multiple Testing

Rendered fromHybridMTest.Rnwusingutils::Sweaveon Feb 03 2025.

Last update: 2013-11-01
Started: 2013-11-01