typeIerror_trimSimes_mvtnorm {itrimhoch}R Documentation

Calculate the type I error rate of the trimmed weighted Simes test

Description

Calculate the type I error rate of the trimmed weighted Simes test

Usage

typeIerror_trimSimes_mvtnorm(
  rho,
  adjFct,
  alpha,
  alphavec = c(alpha/2, alpha/2)
)

Arguments

rho

the correlation coefficient between two test statistics

adjFct

a pre-specified constant in the improved trimmed weighted Hochberg procedure, called the adjustment factor or k value

alpha

the significance level

alphavec

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

Value

the type I error rate

Author(s)

Jiangtao Gou

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

typeIerror_trimSimes_mvtnorm(rho = 0, adjFct = 0, alpha = 0.05)

[Package itrimhoch version 1.0.0 Index]