CRAN/E | eummd

eummd

Efficient Univariate Maximum Mean Discrepancy

Installation

About

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.

Key Metrics

Version 0.1.4
R ≥ 4.1.0
Published 2023-10-02 218 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks eummd results

Downloads

Yesterday 0
Last 7 days 7 -59%
Last 30 days 92 -42%
Last 90 days 358 -39%
Last 365 days 1.671

Maintainer

Maintainer

Dean Bodenham

deanbodenhampkgs@gmail.com

Authors

Dean Bodenham

aut / cre

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

eummd archive

Depends

R ≥ 4.1.0
Rcpp ≥ 1.0.0

Suggests

testthat ≥ 3.0.0
knitr
rmarkdown

LinkingTo

Rcpp