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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.

Versions across snapshots

VersionRepositoryFileSize
0.1-0 rolling linux/jammy R-4.5 PoolBal_0.1-0.tar.gz 1.0 MiB
0.1-0 rolling linux/noble R-4.5 PoolBal_0.1-0.tar.gz 1.0 MiB
0.1-0 rolling source/ R- PoolBal_0.1-0.tar.gz 1.0 MiB
0.1-0 latest linux/jammy R-4.5 PoolBal_0.1-0.tar.gz 1.0 MiB
0.1-0 latest linux/noble R-4.5 PoolBal_0.1-0.tar.gz 1.0 MiB
0.1-0 latest source/ R- PoolBal_0.1-0.tar.gz 1.0 MiB
0.1-0 2026-04-26 source/ R- PoolBal_0.1-0.tar.gz 1.0 MiB
0.1-0 2026-04-23 source/ R- PoolBal_0.1-0.tar.gz 1.0 MiB
0.1-0 2026-04-09 windows/windows R-4.5 PoolBal_0.1-0.zip 1.0 MiB
0.1-0 2025-04-20 source/ R- PoolBal_0.1-0.tar.gz 1.0 MiB

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Imports