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twosamples: Fast Permutation Based Two Sample Tests

Fast randomization based two sample tests. Testing the hypothesis that two samples come from the same distribution using randomization to create p-values. Included tests are: Kolmogorov-Smirnov, Kuiper, Cramer-von Mises, Anderson-Darling, Wasserstein, and DTS. The default test (two_sample) is based on the DTS test statistic, as it is the most powerful, and thus most useful to most users. The DTS test statistic builds on the Wasserstein distance by using a weighting scheme like that of Anderson-Darling. See the companion paper at <doi:10.48550/arXiv.2007.01360> or <https://codowd.com/public/DTS.pdf> for details of that test statistic, and non-standard uses of the package (parallel for big N, weighted observations, one sample tests, etc). We also include the permutation scheme to make test building simple for others.

Version: 2.0.1
LinkingTo: cpp11
Suggests: testthat (≥ 3.0.0)
Published: 2023-06-23
DOI: 10.32614/CRAN.package.twosamples
Author: Connor Dowd ORCID iD [aut, cre]
Maintainer: Connor Dowd <cd at codowd.com>
BugReports: https://github.com/cdowd/twosamples/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://twosampletest.com, https://github.com/cdowd/twosamples
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: twosamples results

Documentation:

Reference manual: twosamples.pdf

Downloads:

Package source: twosamples_2.0.1.tar.gz
Windows binaries: r-devel: twosamples_2.0.1.zip, r-release: twosamples_2.0.1.zip, r-oldrel: twosamples_2.0.1.zip
macOS binaries: r-release (arm64): twosamples_2.0.1.tgz, r-oldrel (arm64): twosamples_2.0.1.tgz, r-release (x86_64): twosamples_2.0.1.tgz, r-oldrel (x86_64): twosamples_2.0.1.tgz
Old sources: twosamples archive

Reverse dependencies:

Reverse imports: CAST, opdisDownsampling
Reverse suggests: FRESA.CAD, MARVEL, mlr3spatiotempcv

Linking:

Please use the canonical form https://CRAN.R-project.org/package=twosamples 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.