Nothing
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.
Package details |
|
---|---|
Author | Johann Gagnon-Bartsch <johanngb@umich.edu> |
Maintainer | Johann Gagnon-Bartsch <johanngb@umich.edu> |
License | GPL |
Version | 1.0.2 |
URL | http://dept.stat.lsa.umich.edu/~johanngb |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.