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.


Reference manual

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1.0.0 by Connor Dowd, 2 months ago

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Authors: Connor Dowd

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp

Linking to Rcpp

See at CRAN