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.html ,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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