We introduce a nonparametric, graphical test based on optimal matching for assessing whether multiple unknown multivariate probability distributions are equal. This method is consistent, and does not make any distributional assumptions on the data. Our procedure combines data that belong to different classes or groups to create a graph on the pooled data, and then utilizes the number of edges connecting data points from different classes to examine equality of distributions among the classes. The functions available through this package implement the work described here: <arXiv:1906.04776>.
Package details 


Author  Somabha Mukherjee <somabha@wharton.upenn.edu> Divyansh Agarwal <divyansh.agarwal@pennmedicine.upenn.edu> Bhaswar Bhattacharya <bhaswar@wharton.upenn.edu> Nancy R. Zhang <nzh@wharton.upenn.edu> 
Maintainer  Divyansh Agarwal <divyansh.agarwal@pennmedicine.upenn.edu> 
License  GPL (>= 2) 
Version  2.1.0 
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.