est.c.hat

Number of pooled case and control observations in each layer 1 bin

Nominal boundary level for binomial parameter at layer 1

theta0

Previous c.hats calculated from layers 1 to l-1

c.hats

alpha

Number of leaf hypotheses at layer l

Estimate threshold to control FDR in multiple testing procedure

An implementation of the TEAM algorithm to identify local differences
between two (e.g. case and control) independent, univariate distributions, as
described in J Pura, C Chan, and J Xie (2019) <arXiv:1906.07757>. The algorithm
is based on embedding a multiple-testing procedure on a hierarchical structure
to identify high-resolution differences between two distributions. The
hierarchical structure is designed to identify strong, short-range differences
at lower layers and weaker, but long-range differences at increasing layers.
TEAM yields consistent layer-specific and overall false discovery rate control.

est.c.hat: Estimate threshold function

Description

Usage

Arguments