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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.
| Version: | 0.1-0 |
| Depends: | R (≥ 4.3.0) |
| Imports: | methods |
| Published: | 2023-11-22 |
| DOI: | 10.32614/CRAN.package.PoolBal |
| Author: | Chris Salahub [aut, cre] |
| Maintainer: | Chris Salahub <chris.salahub at uwaterloo.ca> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | PoolBal results |
| Reference manual: | PoolBal.pdf |
| Package source: | PoolBal_0.1-0.tar.gz |
| Windows binaries: | r-devel: PoolBal_0.1-0.zip, r-release: PoolBal_0.1-0.zip, r-oldrel: PoolBal_0.1-0.zip |
| macOS binaries: | r-release (arm64): PoolBal_0.1-0.tgz, r-oldrel (arm64): PoolBal_0.1-0.tgz, r-release (x86_64): PoolBal_0.1-0.tgz, r-oldrel (x86_64): PoolBal_0.1-0.tgz |
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