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twosamples
View on CRAN: Click
here
Download and install twosamples package within the R console
Install from CRAN:
install.packages("twosamples")
Install from Github:
library("remotes")
install_github("cran/twosamples") Install by package version:
library("remotes")
install_version("twosamples", "2.0.1") Attach the package and use:
library("twosamples")
Maintained by
Connor Dowd
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-03
Latest Update: 2023-06-23
Description:
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.
How to cite:
Connor Dowd (2018). twosamples: Fast Permutation Based Two Sample Tests. R package version 2.0.1, https://cran.r-project.org/web/packages/twosamples. Accessed 15 Jul. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for twosamples
Functions, R codes and Examples using
the twosamples R package
Some associated functions: ad_test . combine.twosamples . cvm_test . ks_test . kuiper_test . permutation_test_builder . plot.twosamples . two_sample . twosamples_class . wass_test .
Some associated R codes: class.R . cpp11.R . documentation.R . misc.R . two_samples.R . Full twosamples package functions and examples
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