cpt: Classification Permutation Test

Non-parametric test for equality of multivariate distributions. Trains a classifier to classify (multivariate) observations as coming from one of several distributions. If the classifier is able to classify the observations better than would be expected by chance (using permutation inference), then the null hypothesis that the distributions are equal is rejected.

Package details

AuthorJohann Gagnon-Bartsch <[email protected]>
MaintainerJohann Gagnon-Bartsch <[email protected]>
URL http://dept.stat.lsa.umich.edu/~johanngb
Package repositoryView on CRAN
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cpt documentation built on Oct. 31, 2018, 1:05 a.m.