The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

randomizationInference: Flexible Randomization-Based Inference

Allows the user to conduct randomization-based inference for a wide variety of experimental scenarios. The package leverages a potential outcomes framework to output randomization-based p-values and null intervals for test statistics geared toward any estimands of interest, according to the specified null and alternative hypotheses. Users can define custom randomization schemes so that the randomization distributions are accurate for their experimental settings. The package also creates visualizations of randomization distributions and can test multiple test statistics simultaneously.

Version: 1.0.4
Imports: permute (≥ 0.7-8), matrixStats, graphics, stats
Published: 2022-05-17
Author: Joseph J. Lee and Tirthankar Dasgupta
Maintainer: Joseph J. Lee <joseph.j.lee at post.harvard.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: randomizationInference results

Documentation:

Reference manual: randomizationInference.pdf

Downloads:

Package source: randomizationInference_1.0.4.tar.gz
Windows binaries: r-devel: randomizationInference_1.0.4.zip, r-release: randomizationInference_1.0.4.zip, r-oldrel: randomizationInference_1.0.4.zip
macOS binaries: r-release (arm64): randomizationInference_1.0.4.tgz, r-oldrel (arm64): randomizationInference_1.0.4.tgz, r-release (x86_64): randomizationInference_1.0.4.tgz, r-oldrel (x86_64): randomizationInference_1.0.4.tgz
Old sources: randomizationInference archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=randomizationInference 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.
Health stats visible at Monitor.