eNull.CM: Estimate Empirical Null by Central Matching

In zrmacc/LFDR: Local False Discovery Rate Estimation

Description

Estimates parameters of the empirical null distribution by central matching within a "null neighborhood". Observations in the null neighborhood are assumed to arise from the null component of the mixture distribution.

Usage

eNull.CM(z, f, L, U)

Arguments

z	Observations.
f	Fitted mixture density. See Fit.EF.
L	Lower limit of null neighborhood.
U	Upper limit of null neighborhood.

Value

Estimated mean and variance of the null component, and the proportion of observations arising from the null component.

zrmacc/LFDR documentation built on May 3, 2019, 9:01 p.m.