eummd: Efficient Univariate Maximum Mean Discrepancy

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: 0.1.4
Depends: R (≥ 4.1.0), Rcpp (≥ 1.0.0)
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2023-10-02
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

Documentation:

Reference manual: eummd.pdf

Downloads:

Package source: eummd_0.1.4.tar.gz
Windows binaries: r-devel: eummd_0.1.4.zip, r-release: eummd_0.1.4.zip, r-oldrel: eummd_0.1.4.zip
macOS binaries: r-release (arm64): eummd_0.1.4.tgz, r-oldrel (arm64): eummd_0.1.4.tgz, r-release (x86_64): eummd_0.1.4.tgz
Old sources: eummd archive

Linking:

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