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.
- Version0.2.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/14/2024
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Team
Dean Bodenham
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