Multiple Hypothesis Testing on an Aggregation Tree Method

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.


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install.packages("TEAM")

0.1.0 by John Pura, 7 months ago


Browse source code at https://github.com/cran/TEAM


Authors: John Pura , Cliburn Chan , and Jichun Xie


Documentation:   PDF Manual  


GPL-2 license


Imports plyr, ggplot2, ks


See at CRAN