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

In pi0: Estimating the proportion of true null hypotheses for FDR

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=TRUE,
    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	Logical. If TRUE, the computed CDF will be stored in a hidden environment .pi0cdfp within the global environment for later re-use.
suppressWarnings	Logical, indicating if warnings are suppressed

Value

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

Note

Warnings might be produced when full precision is not achieved in pt, but this is rarely very problematic.

Author(s)

Long Qu

References

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

pi0 documentation built on May 2, 2019, 4:47 p.m.