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:
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