# Fasano-Franceschini Test: an Implementation of a 2-Dimensional Kolmogorov-Smirnov test in R

@inproceedings{NessCohn2021FasanoFranceschiniTA, title={Fasano-Franceschini Test: an Implementation of a 2-Dimensional Kolmogorov-Smirnov test in R}, author={Elan Ness-Cohn and Rosemary I Braun}, year={2021} }

The univariate Kolmogorov-Smirnov (KS) test is a non–parametric statistical test designed to assess whether two samples come from the same underlying distribution. The versatility of the KS test has made it a cornerstone of statistical analysis across the scientific disciplines. However, the test proposed by Kolmogorov and Smirnov does not naturally extend to multidimensional distributions. Here, we present the fasano.franceschini.test package, an R implementation of the 2-D KS two–sample test…

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