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.


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install.packages("cpt")

1.0.2 by Johann Gagnon-Bartsch, 8 months ago


http://dept.stat.lsa.umich.edu/~johanngb


Browse source code at https://github.com/cran/cpt


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


Documentation:   PDF Manual  


GPL license


Imports MASS, nnet, randomForest, glmnet


See at CRAN