RI2by2: Randomization Inference for Treatment Effects on a Binary Outcome

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


Reference manual: RI2by2.pdf


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


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