Package: MHTdiscrete 1.0.0

MHTdiscrete: Multiple Hypotheses Testing for Discrete Data

A comprehensive tool for almost all existing multiple testing methods for discrete data. The package also provides some novel multiple testing procedures controlling FWER/FDR for discrete data. Given discrete p-values and their domains, the [method].p.adjust function returns adjusted p-values, which can be used to compare with the nominal significant level alpha and make decisions. For users' convenience, the functions also provide the output option for printing decision rules.

Authors:Yalin Zhu, Wenge Guo

MHTdiscrete_1.0.0.tar.gz
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MHTdiscrete_1.0.0.tgz(r-4.5-any)MHTdiscrete_1.0.0.tgz(r-4.4-any)MHTdiscrete_1.0.0.tgz(r-4.3-any)
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MHTdiscrete.pdf |MHTdiscrete.html✨
MHTdiscrete/json (API)

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

Bug tracker:https://github.com/allenzhuaz/mhtdiscrete/issues

On CRAN:

adjustment-computationsbenjamini-hochbergbonferronidiscrete-distributionsmultiple-testing-correction

3.27 score 1 stars 37 scripts 257 downloads 15 exports 0 dependencies

Last updated 6 years agofrom:987c99d811. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 11 2025
R-4.5-winOKFeb 11 2025
R-4.5-macOKFeb 11 2025
R-4.5-linuxOKFeb 11 2025
R-4.4-winOKFeb 11 2025
R-4.4-macOKFeb 11 2025
R-4.3-winOKFeb 11 2025
R-4.3-macOKFeb 11 2025

Exports:getPvalGTBH.p.adjustGTBY.p.adjustMBH.p.adjustMBL.p.adjustMBonf.p.adjustMBY.p.adjustMHoch.p.adjustMHolm.p.adjustMixBonf.p.adjustRoth.p.adjustRoth.rejSidak.p.adjustTarone.p.adjustTH.p.adjust

Dependencies: