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.

Version: 1.0.0
Imports: Rcpp (≥ 0.12.17)
LinkingTo: Rcpp
Published: 2018-12-03
Author: Connor Dowd
Maintainer: Connor Dowd <cdowd at chicagobooth.edu>
BugReports: https://github.com/cdowd/twosamples/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/cdowd/twosamples
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: twosamples results

Downloads:

Reference manual: twosamples.pdf
Package source: twosamples_1.0.0.tar.gz
Windows binaries: r-devel: twosamples_1.0.0.zip, r-release: twosamples_1.0.0.zip, r-oldrel: twosamples_1.0.0.zip
OS X binaries: r-release: twosamples_1.0.0.tgz, r-oldrel: twosamples_1.0.0.tgz

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