Fast Permutation Based Two Sample Tests R package twosamples version 2.0.1 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. Software LinkingTo: cpp11 Suggests: testthat (>= 3.0.0) Connor Dowd <cd@codowd.com> Comprehensive R Archive Network (CRAN) Connor Dowd [aut, cre] (ORCID: <https://orcid.org/0000-0002-9782-0931>) GPL (>= 2) 2023-06-23 application/tgz https://CRAN.R-project.org/package=twosamples doi:10.32614/CRAN.package.twosamples