est.c.hat: Estimate threshold function

In TEAM: Multiple Hypothesis Testing on an Aggregation Tree Method

Description

Estimate threshold to control FDR in multiple testing procedure

Usage

est.c.hat(l, n, theta0, x.l, c.hats, alpha, m.l)

Arguments

l	Layer
n	Number of pooled case and control observations in each layer 1 bin
theta0	Nominal boundary level for binomial parameter at layer 1
x.l	Vector of case counts in each bin
c.hats	Previous c.hats calculated from layers 1 to l-1
alpha	Nominal FDR level
m.l	Number of leaf hypotheses at layer l

TEAM documentation built on Sept. 13, 2019, 5:14 p.m.