Package: randomizationInference 1.0.4

Joseph J. Lee

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.

Authors:Joseph J. Lee and Tirthankar Dasgupta

randomizationInference_1.0.4.tar.gz
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randomizationInference.pdf |randomizationInference.html✨
randomizationInference/json (API)

# Install 'randomizationInference' in R:
install.packages('randomizationInference', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 172 downloads 12 exports 2 dependencies

Last updated 3 years agofrom:7abaf18436. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-linuxOKMar 25 2025

Exports:anovaFblockRandcompleteRandconstEffectdiffMeansdiffMeansVectorlatinRandrandIntervalrandPlotrandTestwithinBlockEffectszeroEffect

Dependencies:matrixStatspermute

Citation

To cite package ‘randomizationInference’ in publications use:

Lee JJ, Dasgupta T (2022). randomizationInference: Flexible Randomization-Based Inference. R package version 1.0.4, https://CRAN.R-project.org/package=randomizationInference.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {randomizationInference: Flexible Randomization-Based
      Inference},
    author = {Joseph J. Lee and Tirthankar Dasgupta},
    year = {2022},
    note = {R package version 1.0.4},
    url = {https://CRAN.R-project.org/package=randomizationInference},
  }