Adjusted p-Values for Stepwise Testing Procedures for Two Sequences

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

Usage

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