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Classification Permutation Test

Installation

About

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.

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

Key Metrics

Version 1.0.2
Published 2018-10-30 1998 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Johann Gagnon-Bartsch

johanngb@umich.edu

Authors

Johann Gagnon-Bartsch

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cpt archive

Imports

MASS
nnet
randomForest
glmnet