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.

Version: 1.0
Imports: MASS, nnet, randomForest, glmnet
Published: 2018-02-27
Author: Johann Gagnon-Bartsch
Maintainer: Johann Gagnon-Bartsch <johanngb at umich.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: http://dept.stat.lsa.umich.edu/~johanngb
NeedsCompilation: no
CRAN checks: cpt results


Reference manual: cpt.pdf
Package source: cpt_1.0.tar.gz
Windows binaries: r-devel: cpt_1.0.zip, r-release: cpt_1.0.zip, r-oldrel: cpt_1.0.zip
OS X El Capitan binaries: r-release: cpt_1.0.tgz
OS X Mavericks binaries: r-oldrel: cpt_0.9.tgz
Old sources: cpt archive


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