Title: Fasano-Franceschini Test: A 2-D Kolmogorov-Smirnov Two-Sample
Description: 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 bootstrapping procedure for improved significance testing. Ultimately, the 'fasano.franceschini.test' package presents a robust statistical test for analyzing random samples defined in 2-dimensions.
Suggests: tidyverse, knitr, rmarkdown, bookdown, testthat (>= 3.0.0)
Packaged: 2021-06-21 17:18:16 UTC; elanness-cohn
Author: Elan Ness-Cohn [aut, cre] (<https://orcid.org/0000-0002-3935-6667>),
Rosemary Braun [ctb, ths] (<https://orcid.org/0000-0001-9668-9866>)

Packaged: 2021-07-16 15:54:51 UTC; elanness-cohn

Description: 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.
Packaged: 2021-09-02 20:25:05 UTC; elanness-cohn

Title: Fasano-Franceschini Test: A Multidimensional Kolmogorov-Smirnov
person("Connor", "Puritz", , "connorpuritz2025@u.northwestern.edu", role = c("aut", "cre"),
person("Elan", "Ness-Cohn", , "elanness-cohn2017@u.northwestern.edu", role = "aut",
person("Rosemary", "Braun", , "rbraun@northwestern.edu", role = c("ctb", "ths"),
comment = "Copyright holder and author of 'RangeTree' class.")
Description: 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).
Imports: Rcpp (>= 1.0.0), RcppParallel (>= 5.0.1), stats
LinkingTo: Rcpp (>= 1.0.0), RcppParallel (>= 5.0.1)
Packaged: 2022-05-28 03:19:24 UTC; connorpuritz
Author: Connor Puritz [aut, cre] (<https://orcid.org/0000-0001-7602-0444>),
Rosemary Braun [ctb, ths] (<https://orcid.org/0000-0001-9668-9866>),
Luca Weihs [cph] (Copyright holder and author of 'RangeTree' class.)