gbonf.p.adjust: Adjusted P-Values for the Generalized Bonferroni Procedure Controlling k-FWER
Description
The function for computing the adjusted p-values based on original p-values and fold \(k\).
Usage
gbonf.p.adjust(p, k, alpha, make.decision)
Arguments
p
numeric vector of p-values (possibly with NAs). Any other R is coerced by as.numeric. Same as in p.adjust.
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.
make.decision
logical; if TRUE, then the output include the decision rules compared adjusted p-values with significant level \(\alpha\)
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.
References
Lehmann, E. L., & Romano, J. P. (2005).
Generalizations of the familywise error rate.
The Annals of Statistics, 33: 1138-1154.