Package: twosamples
Type: Package
Title: Fast Permutation Based Two Sample Tests
Version: 1.1.0
Author: Connor Dowd
Maintainer: Connor Dowd <cdowd@chicagobooth.edu>
Description: 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 new test
  based on the Wasserstein Distance as the default, 'two_sample', which 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, etc). 
  We also include the permutation scheme to make test building simple for others.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.17)
LinkingTo: Rcpp
RoxygenNote: 7.0.2
URL: https://github.com/cdowd/twosamples
BugReports: https://github.com/cdowd/twosamples/issues
NeedsCompilation: yes
Packaged: 2020-07-13 21:28:54 UTC; cdowd
Repository: CRAN
Date/Publication: 2020-07-14 07:40:03 UTC
