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pi0 (version 1.4-1)

cond.cdf : conditional cdf of p-values given noncentrality parameters

Description

conditional cdf of p-values given noncentrality parameters (ncp)

Usage

cond.cdf(p.eval,ncp,test=c("t","z"),alternative=c("two.sided","less",
    "greater"), df=if(test=="z")Inf else df,keep.cdf=NULL,
    suppressWarnings=TRUE)

Arguments

p.eval

numeric vector, at which the conditional CDF is evaluated.

ncp

Numeric vector of noncentrality parameters

test

Either t-test or z-test.

alternative

The same as in t.test.

df

The degree of freedom.

keep.cdf

Either NULL or an environment. If this is non-null, the computed CDF will also be stored in keep.cdf environment to allow later use. As of version 1.4-0, keep.cdf=TRUE, is no longer supported to comply with new CRAN policies; keep.cdf=FALSE will be treated the same as keep.cdf=NULL.

suppressWarnings

Logical, indicating if warnings are suppressed

Value

A numeric matrix, with each row corresponding to p.eval and each column corresponding to ncp.

References

Ruppert, Nettleton, Hwang. 2007. Exploring the Information in $p$-values for the Analysis and Planning of Multiple-test Experiments. Biometrics. 63. 483-495.