Fasano-Franceschini Test: A 2-D Kolmogorov-Smirnov Two-Sample Test

An implementation of the 2-D Kolmogorov-Smirnov (KS) two-sample test as defined by Fasano and Franceschini (Fasano and Franceschini 1987). The 'fasano.franceschini.test' package provides three improvements over the current 2-D KS test on the Comprehensive R Archive Network (CRAN): (i) the Fasano and Franceschini test has been shown to run in O(n^2) versus the Peacock implementation which runs in O(n^3); (ii) the package implements a procedure for handling ties in the data; and (iii) the package implements a parallelized permutation procedure for improved significance testing. Ultimately, the 'fasano.franceschini.test' package presents a robust statistical test for analyzing random samples defined in 2-dimensions.


Reference manual

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1.1.0 by Elan Ness-Cohn, 5 months ago


Report a bug at https://github.com/nesscoder/fasano.franceschini.test/issues

Browse source code at https://github.com/cran/fasano.franceschini.test

Authors: Elan Ness-Cohn [aut, cre] , Rosemary Braun [ctb, ths]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports stats, parallel, methods

Suggests tidyverse, knitr, rmarkdown, bookdown, testthat

See at CRAN