energy: E-Statistics: Multivariate Inference via the Energy of Data

E-statistics (energy) tests and statistics for multivariate and univariate inference, including distance correlation, one-sample, two-sample, and multi-sample tests for comparing multivariate distributions, are implemented. Measuring and testing multivariate independence based on distance correlation, partial distance correlation, multivariate goodness-of-fit tests, k-groups and hierarchical clustering based on energy distance, testing for multivariate normality, distance components (disco) for non-parametric analysis of structured data, and other energy statistics/methods are implemented.

Version:	1.7-12
Depends:	R (≥ 3.1)
Imports:	Rcpp (≥ 0.12.6), stats, boot, gsl
LinkingTo:	Rcpp
Suggests:	MASS, CompQuadForm, knitr, rmarkdown
Published:	2024-08-24
DOI:	10.32614/CRAN.package.energy
Author:	Maria Rizzo [aut, cre], Gabor Szekely [aut]
Maintainer:	Maria Rizzo <mrizzo at bgsu.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/mariarizzo/energy
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	energy results

Documentation:

Reference manual:

energy.html , energy.pdf

Downloads:

Package source:	energy_1.7-12.tar.gz
Windows binaries:	r-devel: energy_1.7-12.zip, r-release: energy_1.7-12.zip, r-oldrel: energy_1.7-12.zip
macOS binaries:	r-release (arm64): energy_1.7-12.tgz, r-oldrel (arm64): energy_1.7-12.tgz, r-release (x86_64): energy_1.7-12.tgz, r-oldrel (x86_64): energy_1.7-12.tgz
Old sources:	energy archive

Reverse dependencies:

Reverse depends:	EnergyOnlineCPM, HellCor, MBC
Reverse imports:	ANCOMBC, biosensors.usc, cassowaryr, CircMLE, Compositional, dda, energyGOF, etree, FAfA, fAssets, GiniDistance, hbsaems, hySAINT, itdr, Lheuristic, linkspotter, metrica, mgc, miRLAB, miRSM, MVN, nda, pgraph, PhyloProfile, scperturbR, semidist, stops, TDAkit, tourr, VariableScreening
Reverse suggests:	bullseye, compositions, copulaSim, correlation, corrselect, DataSimilarity, dimRed, FCPS, Pigengene, shotGroups, steadyICA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=energy to link to this page.