hommel.test: Test Multiple Comparisons Using Hommel's Method

In statmod: Statistical Modeling

Test Multiple Comparisons Using Hommel's Method

Description

Given a set of p-values and a test level, returns vector of test results for each hypothesis.

Usage

hommel.test(p, alpha=0.05)

Arguments

p	numeric vector of p-values
alpha	numeric value, desired significance level

Details

This function implements the multiple testing procedure of Hommel (1988). Hommel's method is also implemented as an adjusted p-value method in the function p.adjust but the accept/reject approach used here is faster.

Value

logical vector indicating whether each hypothesis is accepted

Author(s)

Gordon Smyth

References

Hommel, G. (1988). A stagewise rejective multiple test procedure based on a modified Bonferroni test. Biometrika, 75, 383-386.

Shaffer, J. P. (1995). Multiple hypothesis testing. Annual Review of Psychology 46, 561-576. (An excellent review of the area.)

See Also

p.adjust

Examples

p <- sort(runif(100))[1:10]
cbind(p,p.adjust(p,"hommel"),hommel.test(p))

statmod documentation built on Jan. 6, 2023, 5:14 p.m.