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 <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:	2.0.0
LinkingTo:	cpp11
Suggests:	testthat (≥ 3.0.0)
Published:	2022-07-12
Author:	Connor Dowd [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
SystemRequirements:	C++11
Materials:	README NEWS
CRAN checks:	twosamples results

Documentation:

Reference manual:

twosamples.pdf

Downloads:

Package source:	twosamples_2.0.0.tar.gz
Windows binaries:	r-devel: twosamples_2.0.0.zip, r-release: twosamples_2.0.0.zip, r-oldrel: twosamples_2.0.0.zip
macOS binaries:	r-release (arm64): twosamples_2.0.0.tgz, r-oldrel (arm64): twosamples_2.0.0.tgz, r-release (x86_64): twosamples_2.0.0.tgz, r-oldrel (x86_64): twosamples_2.0.0.tgz
Old sources:	twosamples archive

Reverse dependencies:

Reverse imports:	opdisDownsampling
Reverse suggests:	FRESA.CAD

Linking:

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