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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.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, etree, fAssets, GiniDistance, hySAINT, itdr, kpcalg, linkspotter, metrica, mgc, miRLAB, miRSM, MVN, nda, pgraph, PhyloProfile, scperturbR, semidist, Statsomat, stops, TDAkit, VariableScreening
Reverse suggests: bullseye, compositions, copulaSim, correlation, dimRed, FAfA, FCPS, Pigengene, shotGroups, steadyICA, tourr

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.