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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling source/ R- | eummd_0.2.0.tar.gz |
37.4 KiB |
0.2.0 |
latest source/ R- | eummd_0.2.0.tar.gz |
37.4 KiB |
0.2.0 |
2026-04-23 source/ R- | eummd_0.2.0.tar.gz |
37.4 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | eummd_0.2.0.zip |
458.7 KiB |