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RI2by2: Randomization Inference for Treatment Effects on a BinaryOutcome

Computes attributable effects based confidence interval, permutation test confidence interval, or asymptotic confidence interval for the average treatment effect on a binary outcome. Methods outlined in further detail in Rigdon and Hudgens (2015) <doi:10.1002/sim.6384>.

Version:1.4
Imports:compiler,gtools,Rcpp
LinkingTo:Rcpp
Suggests:testthat
Published:2023-11-11
DOI:10.32614/CRAN.package.RI2by2
Author:Joseph Rigdon
Maintainer:Joseph Rigdon <jrigdon at wakehealth.edu>
License:GPL (≥ 3)
NeedsCompilation:yes
CRAN checks:RI2by2 results

Documentation:

Reference manual:RI2by2.html ,RI2by2.pdf

Downloads:

Package source: RI2by2_1.4.tar.gz
Windows binaries: r-devel:RI2by2_1.4.zip, r-release:RI2by2_1.4.zip, r-oldrel:RI2by2_1.4.zip
macOS binaries: r-release (arm64):RI2by2_1.4.tgz, r-oldrel (arm64):RI2by2_1.4.tgz, r-release (x86_64):RI2by2_1.4.tgz, r-oldrel (x86_64):RI2by2_1.4.tgz
Old sources: RI2by2 archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RI2by2to link to this page.


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