An implementation of the 2D KolmogorovSmirnov (KS) twosample test as defined by Fasano and Franceschini (Fasano and Franceschini 1987). The 'fasano.franceschini.test' package provides three improvements over the current 2D 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 2dimensions.
Package details 


Author  Elan NessCohn [aut, cre] (<https://orcid.org/0000000239356667>), Rosemary Braun [ctb, ths] (<https://orcid.org/0000000196689866>) 
Maintainer  Elan NessCohn <elannesscohn2017@u.northwestern.edu> 
License  MIT + file LICENSE 
Version  1.1.0 
URL  https://github.com/nesscoder/fasano.franceschini.test 
Package repository  View on CRAN 
Installation 
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