Randomization inference procedures for simple and complex randomized designs, including multi-armed trials, as described in Gerber and Green (2012, ISBN: 978-0393979954). Users formally describe their randomization procedure and test statistic. The randomization distribution of the test statistic under some null hypothesis is efficiently simulated.
|Depends:||randomizr (≥ 0.16.0), estimatr|
|Imports:||generics, ggplot2, pbapply|
|Suggests:||testthat, knitr, rmarkdown, ri|
|Author:||Alexander Coppock [aut, cre]|
|Maintainer:||Alexander Coppock <acoppock at gmail.com>|
|License:||MIT + file LICENSE|
|CRAN checks:||ri2 results|
Randomization Inference with ri2
Comparing ri and ri2
|Windows binaries:||r-devel: ri2_0.2.0.zip, r-release: ri2_0.2.0.zip, r-oldrel: ri2_0.2.0.zip|
|macOS binaries:||r-release (arm64): ri2_0.2.0.tgz, r-oldrel (arm64): ri2_0.2.0.tgz, r-release (x86_64): ri2_0.2.0.tgz, r-oldrel (x86_64): ri2_0.2.0.tgz|
|Old sources:||ri2 archive|
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