mFDP (version 0.2.1)

get.bound: Compute a 50 percent confidence upper bound for the number of false positives

Description

For a p-value rejection threshold t, compute the 50 percent confidence upper bound for the number of false positives. The bounds are simultaneous over t.

Usage

get.bound(t,c,kappa.max)

Value

A non-negative integer, which is a median unbiased (or upward biased) estimate of the number false positives.

Arguments

t

The p-value threshold

c

The tuning parameter, which influences the intercept and slope of the enveloppe. Should be numeric.

kappa.max

This value needs to be computes based on the p-values. Together with c it defines the bounds.

Examples

#Suppose the envelope that has been computed is defined by c=0.002 and kappa.max=0.001.
#We can then evaluate the envelope at several thresholds t as below.
#This is equivalent to simply entering the formula floor((t+c)/kappa.max).

#50 percent confidence upper bound for nr of false positives, if p-value threshold of 0.01 is used:
get.bound(t=0.01,c=0.002,kappa.max=0.001)   #12

#50 percent confidence upper bound for nr of false positives, if p-value threshold of 0.02 is used:
get.bound(t=0.02,c=0.002,kappa.max=0.001)   #22

#50 percent confidence upper bound for nr of false positives, if p-value threshold of 0.03 is used:
get.bound(t=0.03,c=0.002,kappa.max=0.001)   #32