Package: ri2 0.4.0

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.

Authors:Alexander Coppock [aut, cre]

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NEWS

# Install 'ri2' in R:
install.packages('ri2', repos = c('https://acoppock.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/acoppock/ri2/issues

On CRAN:

Conda:

5.69 score 12 stars 82 scripts 673 downloads 2 exports 35 dependencies

Last updated 3 years agofrom:1fe8a4abd6. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winNOTEMar 08 2025
R-4.5-macNOTEMar 08 2025
R-4.5-linuxNOTEMar 08 2025
R-4.4-winOKMar 08 2025
R-4.4-macOKMar 08 2025
R-4.4-linuxOKMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:conduct_ritidy

Dependencies:clicolorspaceestimatrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepbapplypillarpkgconfigR6randomizrRColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr

Randomization Inference with ri2

Alexander Coppock, Yale University

Rendered fromri2_vignette.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2019-01-30
Started: 2017-07-17