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eummd  

Efficient Univariate Maximum Mean Discrepancy
View on CRAN: Click here


Download and install eummd package within the R console
Install from CRAN:
install.packages("eummd")

Install from Github:
library("remotes")
install_github("cran/eummd")

Install by package version:
library("remotes")
install_version("eummd", "0.2.0")



Attach the package and use:
library("eummd")
Maintained by
Dean Bodenham
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-08
Latest Update: 2023-10-02
Description:
Computes maximum mean discrepancy two-sample test for univariate data using the Laplacian kernel, as described in Bodenham and Kawahara (2023) . The p-value is computed using permutations. Also includes implementation for computing the robust median difference statistic 'Q_n' from Croux and Rousseeuw (1992) based on Johnson and Mizoguchi (1978) .
How to cite:
Dean Bodenham (2023). eummd: Efficient Univariate Maximum Mean Discrepancy. R package version 0.2.0, https://cran.r-project.org/web/packages/eummd. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.7 (2023-07-08 19:40), 0.1.1 (2023-08-19 02:22), 0.1.4 (2023-10-02 14:30), 0.1.9 (2024-05-21 18:20)
Other packages that cited eummd R package
View eummd citation profile
Other R packages that eummd depends, imports, suggests or enhances
Complete documentation for eummd
Functions, R codes and Examples using the eummd R package
Some associated functions: energydist . eummd . meammd . mediandiff . medianheuristic . mmd . 
Some associated R codes: RcppExports.R . energy.R . eummd.R . meammd.R . medianheuristic.R . naive.R . zzz.R .  Full eummd package functions and examples
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