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, 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: 1.7-0
Imports: Rcpp (≥ 0.12.6), stats, boot
LinkingTo: Rcpp
Suggests: MASS
Published: 2016-08-26
Author: Maria L. Rizzo and Gabor J. Szekely
Maintainer: Maria Rizzo <mrizzo at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
In views: Multivariate
CRAN checks: energy results


Reference manual: energy.pdf
Package source: energy_1.7-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: energy_1.7-0.tgz
OS X Mavericks binaries: r-oldrel: energy_1.7-0.tgz
Old sources: energy archive

Reverse dependencies:

Reverse depends: compositions, dCovTS, fastHICA, MBC
Reverse imports: aSPC, fAssets, kpcalg, MXM, pgraph
Reverse suggests: cdcsis, dimRed, FAiR, shotGroups, steadyICA


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