A Graph-Based Test for Comparing Multivariate Distributions in the Multi Sample Framework

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: .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


2.1.0 by Divyansh Agarwal, 2 years ago

Browse source code at https://github.com/cran/multicross

Authors: Somabha Mukherjee <[email protected]> Divyansh Agarwal <[email protected]> Bhaswar Bhattacharya <[email protected]> Nancy R. Zhang <[email protected]>

Documentation:   PDF Manual  

GPL (>= 2) license

Imports stats, MASS, Matrix, nbpMatching, crossmatch

Suggests ape

See at CRAN