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.


Reference manual

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1.0.2 by Johann Gagnon-Bartsch, 3 years ago

Browse source code at

Authors: Johann Gagnon-Bartsch <[email protected]>

Documentation:   PDF Manual  

GPL license

Imports MASS, nnet, randomForest, glmnet

See at CRAN