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randomizationInference
View on CRAN: Click
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Download and install randomizationInference package within the R console
Install from CRAN:
install.packages("randomizationInference")
Install from Github:
library("remotes")
install_github("cran/randomizationInference")
Install by package version:
library("remotes")
install_version("randomizationInference", "1.0.4")
Attach the package and use:
library("randomizationInference")
Maintained by
Joseph J. Lee
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All associated links for this package
First Published: 2013-09-10
Latest Update: 2022-05-17
Description:
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.
How to cite:
Joseph J. Lee (2013). randomizationInference: Flexible Randomization-Based Inference. R package version 1.0.4, https://cran.r-project.org/web/packages/randomizationInference. Accessed 06 Nov. 2024.
Previous versions and publish date:
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Complete documentation for randomizationInference
Functions, R codes and Examples using
the randomizationInference R package
Some associated functions: anovaF . blockRand . completeRand . constEffect . diffMeans . diffMeansVector . latinRand . randInterval . randPlot . randTest . randomizationInference-package . reading . withinBlockEffects . zeroEffect .
Some associated R codes: anovaF.R . blockRand.R . completeRand.R . constEffect.R . diffMeans.R . diffMeansVector.R . latinRand.R . randInterval.R . randPlot.R . randTest.R . withinBlockEffects.R . zeroEffect.R . Full randomizationInference package functions and examples
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