pavaf1: pooling adjacent violator algorithm estimate of p-value...

In pi0: Estimating the Proportion of True Null Hypotheses for FDR

Description

pooling adjacent violator algorithm estimate of p-value density at 1

Usage

pavaf1(p,max.bins=20,bin.method=c("max","Sturges","Scott","FD"),
                discrete=FALSE,plotit=FALSE,...)

Arguments

p	p-value vector
max.bins	max number of bins
bin.method	binning method
discrete	logical: whether p-values are discrete.
plotit	logical: whether results are plotted.
...	Other arguments to hist

Details

This function bin the p-values and then run PAVA to estimate the minimum of its density.

Value

Numeric scalar

Author(s)

Long Qu

pi0 documentation built on July 9, 2017, 9:01 a.m.