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r-twosamples

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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.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-twosamples

Usage Tracking

1.0.0
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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.

Last Updated

Dec 12, 2019 at 18:06

License

GPL-2

Total Downloads

4

Supported Platforms

linux-64
macOS-64
win-64