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.

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Package details

AuthorJohn Pura, Cliburn Chan, and Jichun Xie
MaintainerJohn Pura <[email protected]>
Package repositoryView on CRAN
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TEAM documentation built on Sept. 13, 2019, 5:14 p.m.