Graph-Based k-Sample Comparisons and Relevance Analysis in High Dimensions

We propose two distribution-free test statistics based on between-sample edge counts and measure the degree of relevance by standardized counts. Users can set edge costs in the graph to compare the parameters of the distributions. Methods for comparing distributions are as described in: Xiaoping Shi (2021) .


Reference manual

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

install.packages("GRelevance")

1.0 by Xiaoping Shi, 4 years ago


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


Authors: Xiaoping Shi [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports mvtnorm, MASS, philentropy


See at CRAN