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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 |
| 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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