PoolBal
Balancing Central and Marginal Rejection of Pooled p-Values
When using pooled p-values to adjust for multiple testing, there is an inherent balance that must be struck between rejection based on weak evidence spread among many tests and strong evidence in a few, explored in Salahub and Olford (2023) doi:10.48550/arXiv.2310.16600. This package provides functionality to compute marginal and central rejection levels and the centrality quotient for p-value pooling functions and provides implementations of the chi-squared quantile pooled p-value (described in Salahub and Oldford (2023)) and a proposal from Heard and Rubin-Delanchy (2018) doi:10.1093/biomet/asx076 to control the quotient's value.
- Version0.1-0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release11/22/2023
Team
Chris Salahub
MaintainerShow author details
Insights
Last 30 days
This package has been downloaded 144 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
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Last 365 days
This package has been downloaded 2,142 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 23 downloads.
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