TEAM: 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) <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.

Version: 0.1.0
Imports: plyr, ggplot2, ks
Published: 2019-09-13
Author: John Pura, Cliburn Chan, and Jichun Xie
Maintainer: John Pura <john.pura at duke.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: TEAM results

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Reference manual: TEAM.pdf
Package source: TEAM_0.1.0.tar.gz
Windows binaries: r-devel: TEAM_0.1.0.zip, r-release: TEAM_0.1.0.zip, r-oldrel: TEAM_0.1.0.zip
OS X binaries: r-release: TEAM_0.1.0.tgz, r-oldrel: TEAM_0.1.0.tgz

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