optk {itrimhoch}R Documentation

The two-step algorithm to calculate the best k value for the improved trimmed Hochberg method to ensure that the maximum type I error rate reaches alpha exactly when rho is arbitrary

Description

The two-step algorithm to calculate the best k value for the improved trimmed Hochberg method to ensure that the maximum type I error rate reaches alpha exactly when rho is arbitrary

Usage

optk(alpha, alphavec = c(alpha/2, alpha/2))

Arguments

alpha

the significance level

alphavec

a numeric vector of two values representing the weighted significance levels assigned to the two hypotheses

Value

the best k value k_opt and the rho value that makes the type I error rate reaches the maximum value rho_opt

Author(s)

Jiangtao Gou

Fengqing Zhang

References

Gou, J., Chang, Y., Li, T., and Zhang, F. (2025). Improved trimmed weighted Hochberg procedures with two endpoints and sample size optimization. Technical Report.

Examples

optk(alpha = 0.025)

[Package itrimhoch version 1.0.0 Index]