Package: eummd
Title: Efficient Univariate Maximum Mean Discrepancy
Version: 0.1.9
Date: 2024-05-18
Authors@R: c(person("Dean", "Bodenham", role = c("aut", "cre"), 
            email = "deanbodenhampkgs@gmail.com"))
Description: Computes maximum mean discrepancy two-sample test for univariate data using the Laplacian kernel, as described in Bodenham and Kawahara (2023) <doi:10.1007/s11222-023-10271-x>. The p-value is computed using permutations. Also includes implementation for computing the robust median difference statistic 'Q_n' from Croux and Rousseeuw (1992) <doi:10.1007/978-3-662-26811-7_58> based on Johnson and Mizoguchi (1978) <doi:10.1137/0207013>. 
Depends: R (>= 4.1.0), Rcpp (>= 1.0.0)
License: GPL-2 | GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-05-18 17:06:25 UTC; dean
Author: Dean Bodenham [aut, cre]
Maintainer: Dean Bodenham <deanbodenhampkgs@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-21 16:20:02 UTC
Built: R 4.2.3; aarch64-apple-darwin20; 2024-05-21 17:55:55 UTC; unix
Archs: eummd.so.dSYM
