mhcccreate

<p>is a vector containing the sizes of the K different classes</p>

nvec

<p>Creates the null covariance matrix for mmcm, corresponding to the scenario when all K distributions are the same</p>

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>.

Divyansh Agarwal

mhcccreate: Creates the null covariance matrix for mmcm, corresponding to the scenario when all K distributions are the same

Description

Usage

Arguments

Value