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.
|Author||Elan Ness-Cohn [aut, cre] (<https://orcid.org/0000-0002-3935-6667>), Rosemary Braun [ctb, ths] (<https://orcid.org/0000-0001-9668-9866>)|
|Maintainer||Elan Ness-Cohn <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.