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An implementation of the two-sample multidimensional Kolmogorov-Smirnov test described by Fasano and Franceschini (1987) <doi:10.1093/mnras/225.1.155>. This test evaluates the null hypothesis that two i.i.d. random samples were drawn from the same underlying probability distribution. The data can be of any dimension, and can be of any type (continuous, discrete, or mixed).
Package details |
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Author | Connor Puritz [aut, cre] (<https://orcid.org/0000-0001-7602-0444>), Elan Ness-Cohn [aut] (<https://orcid.org/0000-0002-3935-6667>), Rosemary Braun [ctb, ths] (<https://orcid.org/0000-0001-9668-9866>), Luca Weihs [cph] (Copyright holder and author of 'RangeTree' class.) |
Maintainer | Connor Puritz <connorpuritz2025@u.northwestern.edu> |
License | MIT + file LICENSE |
Version | 2.2.1 |
URL | https://github.com/braunlab-nu/fasano.franceschini.test |
Package repository | View on CRAN |
Installation |
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