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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.
Version: | 1.0.1 |
Published: | 2018-12-15 |
DOI: | 10.32614/CRAN.package.MHTdiscrete |
Author: | Yalin Zhu, Wenge Guo |
Maintainer: | Yalin Zhu <yalin.zhu at outlook.com> |
BugReports: | https://github.com/allenzhuaz/MHTdiscrete/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://allen.shinyapps.io/MTPs/ |
NeedsCompilation: | no |
CRAN checks: | MHTdiscrete results |
Reference manual: | MHTdiscrete.pdf |
Package source: | MHTdiscrete_1.0.1.tar.gz |
Windows binaries: | r-devel: MHTdiscrete_1.0.1.zip, r-release: MHTdiscrete_1.0.1.zip, r-oldrel: MHTdiscrete_1.0.1.zip |
macOS binaries: | r-release (arm64): MHTdiscrete_1.0.1.tgz, r-oldrel (arm64): MHTdiscrete_1.0.1.tgz, r-release (x86_64): MHTdiscrete_1.0.1.tgz, r-oldrel (x86_64): MHTdiscrete_1.0.1.tgz |
Old sources: | MHTdiscrete archive |
Reverse suggests: | FixSeqMTP, MHTmult |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.