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PoolBal
View on CRAN: Click
here
Download and install PoolBal package within the R console
Install from CRAN:
install.packages("PoolBal")
Install from Github:
library("remotes")
install_github("cran/PoolBal")
Install by package version:
library("remotes")
install_version("PoolBal", "0.1-0")
Attach the package and use:
library("PoolBal")
Maintained by
Chris Salahub
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.PoolBal . PoolBal results . PoolBal.pdf . PoolBal_0.1-0.tar.gz . PoolBal_0.1-0.zip . PoolBal_0.1-0.zip . PoolBal_0.1-0.zip . PoolBal_0.1-0.tgz . PoolBal_0.1-0.tgz . PoolBal_0.1-0.tgz . PoolBal_0.1-0.tgz . PoolBal_0.1-0.tgz . PoolBal_0.1-0.tgz . https://CRAN.R-project.org/package=PoolBal .
First Published: 2023-11-22
Latest Update: 2023-11-22
Description:
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) . 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) to control the quotient's value.
How to cite:
Chris Salahub (2023). PoolBal: Balancing Central and Marginal Rejection of Pooled p-Values. R package version 0.1-0, https://cran.r-project.org/web/packages/PoolBal. Accessed 02 Apr. 2025.
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