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, and Anderson-Darling. There is also a very efficient test based on the Wasserstein Distance. The default test 'two_sample' builds on the Wasserstein distance by using a weighting scheme like that of Anderson-Darling. We also include the permutation scheme to make test building simple for others.

Getting started

Package details

AuthorConnor Dowd
MaintainerConnor Dowd <[email protected]>
LicenseGPL (>= 2)
Version1.0.0
URL https://github.com/cdowd/twosamples
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("twosamples")

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twosamples documentation built on May 2, 2019, 5:55 a.m.