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: 1.0.2
Imports: MASS, nnet, randomForest, glmnet
Published: 2018-10-30
DOI: 10.32614/CRAN.package.cpt
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_1.0.2.tar.gz
Windows binaries: r-devel: cpt_1.0.2.zip, r-release: cpt_1.0.2.zip, r-oldrel: cpt_1.0.2.zip
macOS binaries: r-release (arm64): cpt_1.0.2.tgz, r-oldrel (arm64): cpt_1.0.2.tgz, r-release (x86_64): cpt_1.0.2.tgz, r-oldrel (x86_64): cpt_1.0.2.tgz
Old sources: cpt archive


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