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:
MHTdiscrete_1.0.0.tar.gz
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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
adjustment-computationsbenjamini-hochbergbonferronidiscrete-distributionsmultiple-testing-correction
Last updated 5 years agofrom:987c99d811. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | OK | Nov 13 2024 |
R-4.5-linux | OK | Nov 13 2024 |
R-4.4-win | OK | Nov 13 2024 |
R-4.4-mac | OK | Nov 13 2024 |
R-4.3-win | OK | Nov 13 2024 |
R-4.3-mac | OK | Nov 13 2024 |
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: