ftrunc: Adjusted p-Values for Holm, Hochberg, and Hommel Procedures

In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

Adjusted p-Values for Holm, Hochberg, and Hommel Procedures

Description

Obtains the adjusted p-values for possibly truncated Holm, Hochberg, and Hommel procedures.

Usage

ftrunc(p, test = "hommel", gamma = 1)

Arguments

p	The raw p-values for elementary hypotheses.
test	The test to use, e.g., "holm", "hochberg", or "hommel" (default).
gamma	The value of the truncation parameter. Defaults to 1 for the regular Holm, Hochberg, or Hommel procedure.

Value

A list with the following components:

• inthyp: The indicator matrix for the intersection hypotheses.

• pinter: The local p-values for the intersection hypotheses.

• padj: The adjusted p-values for the elementary hypotheses.

Author(s)

Kaifeng Lu, [e-mail]

References

Alex Dmitrienko, Ajit C. Tamhane, and Brian L. Wiens. General multistage gatekeeping procedures. Biometrical Journal. 2008; 5:667-677.

Examples

pvalues <- matrix(c(0.01,0.005,0.015,0.022, 0.02,0.015,0.010,0.023),
                  nrow=2, ncol=4, byrow=TRUE)
ftrunc(pvalues, "hochberg")

lrstat documentation built on Aug. 25, 2026, 5:07 p.m.