Rank in Similarity Graph Edge-Count Two-Sample Test (RISE)

Implements the Rank In Similarity Graph Edge-count two-sample test (RISE) for high-dimensional and non-Euclidean data. The method constructs similarity-based graphs, such as k-nearest neighbor graph (k-NNG), k-minimum spanning tree (k-MST), and k-minimum distance non-bipartite pairing (k-MDP), and evaluates rank-based within-sample edge counts with asymptotic and permutation p-values. For methodological details, see Zhou and Chen (2023) < https://proceedings.mlr.press/v195/zhou23a.html>.


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("GraphRankTest")

0.1 by Doudou Zhou, a year ago


https://proceedings.mlr.press/v195/zhou23a.html


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


Authors: Doudou Zhou [aut, cre] , Hao Chen [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, ade4, nbpMatching

Suggests testthat, rmarkdown


Suggested by DataSimilarity.


See at CRAN