cpt (1.0.2)

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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.

Maintainer: Johann Gagnon-Bartsch
Author(s): Johann Gagnon-Bartsch <johanngb@umich.edu>

License: GPL

Uses: glmnet, MASS, nnet, randomForest

Released about 1 year ago.

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