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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: | 0.4.0 |
| Depends: | randomizr (≥ 0.16.0), estimatr |
| Imports: | generics, ggplot2, pbapply |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2022-05-26 |
| DOI: | 10.32614/CRAN.package.ri2 |
| Author: | Alexander Coppock [aut, cre] |
| Maintainer: | Alexander Coppock <acoppock at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | ri2 results |
| Reference manual: | ri2.pdf |
| Vignettes: |
Randomization Inference with ri2 |
| Package source: | ri2_0.4.0.tar.gz |
| Windows binaries: | r-devel: ri2_0.4.0.zip, r-release: ri2_0.4.0.zip, r-oldrel: ri2_0.4.0.zip |
| macOS binaries: | r-release (arm64): ri2_0.4.0.tgz, r-oldrel (arm64): ri2_0.4.0.tgz, r-release (x86_64): ri2_0.4.0.tgz, r-oldrel (x86_64): ri2_0.4.0.tgz |
| Old sources: | ri2 archive |
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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.