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.
| 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 |
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