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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

Documentation:

Reference manual: 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 form https://CRAN.R-project.org/package=RI2by2 to link to this page.

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.
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