Package: twosamples 2.0.1

Connor Dowd

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, 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.

Authors:Connor Dowd [aut, cre]

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Bug tracker:https://github.com/cdowd/twosamples/issues

On CRAN:

distance-metricecdf

14 exports 17 stars 2.96 score 1 dependencies 8 dependents 34 scripts 5.5k downloads

Last updated 1 years agofrom:6472636591. Checks:OK: 9. Indexed: yes.

Exports:ad_statad_testcombine.twosamplescvm_statcvm_testdts_statdts_testks_statks_testkuiper_statkuiper_testtwo_samplewass_statwass_test

Dependencies:cpp11