Adjusted p-Values for Stepwise Testing Procedures for Two Sequences

Source: R/multiplicity.R

Obtains the adjusted p-values for the stepwise gatekeeping procedures for multiplicity problems involving two sequences of hypotheses.

fstp2seq(p, gamma, test = "hochberg", retest = TRUE)

Arguments

p

The raw p-values for elementary hypotheses.

gamma

The truncation parameters for each family. The truncation parameter for the last family is automatically set to 1.

test

The component multiple testing procedure. It is either "Holm" or "Hochberg", and it defaults to "Hochberg".

retest

Whether to allow retesting. It defaults to TRUE.

Value

A matrix of adjusted p-values.

Author

Kaifeng Lu, kaifenglu@gmail.com

Examples


p <- c(0.0194, 0.0068, 0.0271, 0.0088, 0.0370, 0.0018, 0.0814, 0.0066)
gamma <- c(0.6, 0.6, 0.6, 1)
fstp2seq(p, gamma, test="hochberg", retest=1)
#> [1] 0.02425 0.01360 0.03300 0.02425 0.03700 0.02425 0.08140 0.03300