simes.test: Weighted Simes test

In gMCP: Graph Based Multiple Comparison Procedures

Weighted Simes test

Description

Weighted Simes test introduced by Benjamini and Hochberg (1997)

Usage

simes.test(
  pvalues,
  weights,
  alpha = 0.05,
  adjPValues = TRUE,
  verbose = FALSE,
  ...
)

Arguments

pvalues	A numeric vector specifying the p-values.
weights	A numeric vector of weights.
alpha	A numeric specifying the maximal allowed type one error rate. If adjPValues==TRUE (default) the parameter alpha is not used.
adjPValues	Logical scalar. If TRUE (the default) an adjusted p-value for the weighted Simes test is returned. Otherwise if adjPValues==FALSE a logical value is returned whether the null hypothesis can be rejected.
verbose	Logical scalar. If TRUE verbose output is generated.
...	Further arguments possibly passed by gMCP which will be used by other test procedures but not this one.

Examples

simes.test(pvalues=c(0.1,0.2,0.05), weights=c(0.5,0.5,0))
simes.test(pvalues=c(0.1,0.2,0.05), weights=c(0.5,0.5,0), adjPValues=FALSE)

gMCP documentation built on May 29, 2024, 9:37 a.m.