gbonf.cv: Critical Value for the generalized Bonferroni Procedure Controlling k-FWER
Description
The function for computing the critical value based on number of hypotheses \(m\), fold \(k\) and significant level \(\alpha\).
Usage
gbonf.cv(m, k, alpha)
Arguments
m
number of hypotheses to be tested.
k
number of allowed type 1 errors in k-FWER controls.
alpha
significant level used to compare with adjusted p-values to make decisions, the default value is 0.05.
Value
A numeric vector of the adjusted p-values (of the same length as p) if make.decision = FALSE, or a list including original p-values, adjusted p-values and decision rules if make.decision = TRUE.