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>.
Version: | 0.2.0 |
Depends: | R (≥ 4.1.0), Rcpp (≥ 1.0.0) |
LinkingTo: | Rcpp |
Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
Published: | 2024-10-14 |
DOI: | 10.32614/CRAN.package.eummd |
Author: | Dean Bodenham [aut, cre] |
Maintainer: | Dean Bodenham <deanbodenhampkgs at gmail.com> |
License: | GPL-2 | GPL-3 |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | eummd results |
Reference manual: | eummd.pdf |
Package source: | eummd_0.2.0.tar.gz |
Windows binaries: | r-devel: eummd_0.2.0.zip, r-release: eummd_0.2.0.zip, r-oldrel: eummd_0.2.0.zip |
macOS binaries: | r-release (arm64): eummd_0.2.0.tgz, r-oldrel (arm64): eummd_0.2.0.tgz, r-release (x86_64): eummd_0.2.0.tgz, r-oldrel (x86_64): eummd_0.2.0.tgz |
Old sources: | eummd archive |
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