cdowd/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 GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("cdowd/twosamples")
cdowd/twosamples documentation built on Dec. 4, 2018, 11:12 p.m.