Multiple Hypothesis Testing on an Aggregation Tree Method
Description
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) . 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.