ri2: Randomization Inference for Randomized Experiments

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.

Version:	0.5.0
Depends:	R (≥ 3.5.0)
Imports:	generics, ggplot2, pbapply, randomizr (≥ 0.16.0), estimatr
Suggests:	testthat, knitr, rmarkdown, dplyr, tidyr, purrr, forcats
Published:	2026-07-29
DOI:	10.32614/CRAN.package.ri2
Author:	Alexander Coppock [aut, cre]
Maintainer:	Alexander Coppock <acoppock at gmail.com>
BugReports:	https://github.com/acoppock/ri2/issues
License:	MIT + file LICENSE
URL:	https://alexandercoppock.com/ri2/, https://github.com/acoppock/ri2
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	ri2 results

Documentation:

Reference manual:	ri2.html , ri2.pdf
Vignettes:	Randomization Inference with ri2 (source, R code)

Downloads:

Package source:	ri2_0.5.0.tar.gz
Windows binaries:	r-devel: ri2_0.4.1.zip, r-release: ri2_0.4.1.zip, r-oldrel: ri2_0.4.1.zip
macOS binaries:	r-release (arm64): ri2_0.5.0.tgz, r-oldrel (arm64): ri2_0.5.0.tgz, r-release (x86_64): ri2_0.5.0.tgz, r-oldrel (x86_64): ri2_0.4.1.tgz
Old sources:	ri2 archive

Linking:

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