Package: eummd 0.2.0
Dean Bodenham
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>.
Authors:
eummd_0.2.0.tar.gz
eummd_0.2.0.tar.gz(r-4.5-noble)eummd_0.2.0.tar.gz(r-4.4-noble)
eummd_0.2.0.tgz(r-4.4-emscripten)eummd_0.2.0.tgz(r-4.3-emscripten)
eummd.pdf |eummd.html✨
eummd/json (API)
NEWS
| # Install 'eummd' in R: |
| install.packages('eummd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:fd8e42d50f. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 14 2024 |
| R-4.5-linux-x86_64 | OK | Dec 14 2024 |
Exports:energydisteummdmeammdmediandiffmedianheuristicmmd
Dependencies:Rcpp
