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) <doi:10.48550/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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