Package: PoolBal 0.1-0
Chris Salahub
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.
Authors:
PoolBal_0.1-0.tar.gz
PoolBal_0.1-0.tar.gz(r-4.5-noble)PoolBal_0.1-0.tar.gz(r-4.4-noble)
PoolBal_0.1-0.tgz(r-4.4-emscripten)PoolBal_0.1-0.tgz(r-4.3-emscripten)
PoolBal.pdf |PoolBal.html✨
PoolBal/json (API)
| # Install 'PoolBal' in R: |
| install.packages('PoolBal', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:dfafd7b4f3. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 17 2024 |
| R-4.5-linux | OK | Nov 17 2024 |
Exports:altFrequencyMatbetaDivchiKappachiPcchiPoolchiPrchiQconvertGeneticSigmaestimatePcestimatePrbestimateQfindAhrPchrPoolhrPrhrQhrStatklDivmarHistHeatMaprBetaH3rBetaH4satterApproxPsatterChiPool
Dependencies:
