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Counternull: Randomization-Based Inference

Randomization-Based Inference for customized experiments. Computes Fisher-Exact P-Values alongside null randomization distributions. Retrieves counternull sets and generates counternull distributions. Computes Fisher Intervals and Fisher-Adjusted P-Values. Package includes visualization of randomization distributions and Fisher Intervals. Users can input custom test statistics and their own methods for randomization. Rosenthal and Rubin (1994) <doi:10.1111/j.1467-9280.1994.tb00281.x>.

Version: 0.2.12
Depends: R (≥ 2.10)
Imports: stats, effsize, ggplot2, randomizr, dplyr, tidyr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-02-24
DOI: 10.32614/CRAN.package.Counternull
Author: Mabene Yasmine [aut, cre], Bind Marie [aut], Harvard University [cph]
Maintainer: Mabene Yasmine <ymabene at stanford.edu>
BugReports: https://github.com/ymabene/Counternull/issues
License: MIT + file LICENSE
URL: https://github.com/ymabene/Counternull
NeedsCompilation: no
Materials: README NEWS
CRAN checks: Counternull results

Documentation:

Reference manual: Counternull.pdf
Vignettes: Randomization-Based Inference Using Counternull

Downloads:

Package source: Counternull_0.2.12.tar.gz
Windows binaries: r-devel: Counternull_0.2.12.zip, r-release: Counternull_0.2.12.zip, r-oldrel: Counternull_0.2.12.zip
macOS binaries: r-release (arm64): Counternull_0.2.12.tgz, r-oldrel (arm64): Counternull_0.2.12.tgz, r-release (x86_64): Counternull_0.2.12.tgz, r-oldrel (x86_64): Counternull_0.2.12.tgz
Old sources: Counternull archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.