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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.1 by Yalin Zhu, 3 years ago

Report a bug at

Browse source code at

Authors: Yalin Zhu , Wenge Guo

Documentation:   PDF Manual  

GPL (>= 2) license

Suggested by FixSeqMTP, MHTmult.

See at CRAN