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) <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
Author: Chris Salahub [aut, cre]
Maintainer: Chris Salahub <chris.salahub at uwaterloo.ca>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: PoolBal results

Documentation:

Reference manual: PoolBal.pdf

Downloads:

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: not available
macOS binaries: r-release (arm64): PoolBal_0.1-0.tgz, r-oldrel (arm64): not available, r-release (x86_64): PoolBal_0.1-0.tgz

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