CRAN/E | KMD

KMD

Kernel Measure of Multi-Sample Dissimilarity

Installation

About

Implementations of the kernel measure of multi-sample dissimilarity (KMD) between several samples using K-nearest neighbor graphs and minimum spanning trees. The KMD measures the dissimilarity between multiple samples, based on the observations from them. It converges to the population quantity (depending on the kernel) which is between 0 and 1. A small value indicates the multiple samples are from the same distribution, and a large value indicates the corresponding distributions are different. The population quantity is 0 if and only if all distributions are the same, and 1 if and only if all distributions are mutually singular. The package also implements the tests based on KMD for H0: the M distributions are equal against H1: not all the distributions are equal. Both permutation test and asymptotic test are available. These tests are consistent against all alternatives where at least two samples have different distributions. For more details on KMD and the associated tests, see Huang, Z. and B. Sen (2022) .

Key Metrics

Version 0.1.0
R ≥ 4.0.0
Published 2022-10-06 539 days ago
Needs compilation? no
License GPL-3
CRAN checks KMD results

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Maintainer

Maintainer

Zhen Huang

zh2395@columbia.edu

Authors

Zhen Huang

aut / cre

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 4.0.0
data.table

Imports

RANN
proxy
mlpack
boot
igraph