discov

response

The alternative hypothesis, which is a character vector, i.e. a set of genes

alternative

null

A data frame with response and all covariates included

data

The maximal number of repetitions prespecified by user

maxit

alpha

True discoveries calculated by the partial closed testing

Closed testing has been proved powerful for true discovery guarantee. The computation of closed testing is, however, quite burdensome. A general way to reduce computational complexity is to combine partial closed testings for some prespecified feature sets of interest. Partial closed testings are performed at Bonferroni-corrected alpha level to guarantee the lower bounds for the number of true discoveries in prespecified sets are simultaneously valid. For any post hoc chosen sets of interest, coherence property is used to get the lower bound. In this package, we implement closed testing with globaltest to calculate the lower bound for number of true discoveries, see Ningning Xu et.al (2021) <arXiv:2001.01541> for detailed description.

discov: True discoveries

Description

Usage

Arguments

Value