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).">

fasano.franceschini.test: Fasano-Franceschini Test: A Multivariate Kolmogorov-Smirnov Two-Sample Test (original) (raw)

An implementation of the two-sample multivariate 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).

Version: 2.2.2
Depends: R (≥ 3.6.2)
Imports: Rcpp (≥ 1.0.0), RcppParallel (≥ 5.0.1)
LinkingTo: Rcpp (≥ 1.0.0), RcppParallel (≥ 5.0.1)
Suggests: testthat (≥ 3.0.0)
Published: 2024-02-07
DOI: 10.32614/CRAN.package.fasano.franceschini.test
Author: Connor Puritz ORCID iD [aut, cre], Elan Ness-Cohn ORCID iD [aut], Rosemary Braun ORCID iD [ctb, ths], Luca Weihs [cph] (Copyright holder and author of 'RangeTree' class.)
Maintainer: Connor Puritz
BugReports: https://github.com/braunlab-nu/fasano.franceschini.test/issues
License: MIT + file
URL: https://github.com/braunlab-nu/fasano.franceschini.test
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: fasano.franceschini.test citation info
Materials: README, NEWS
CRAN checks: fasano.franceschini.test results

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