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.
- Version0.1.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release09/13/2019
Team
John Pura
Jichun Xie
Cliburn Chan
Insights
Last 30 days
This package has been downloaded 39 times in the last 30 days. Not quite a landslide, but certainly not negligible. Keep it up! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,443 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 18, 2025 with 25 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports3 packages