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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: | 1.7-11 |
Depends: | R (≥ 3.1) |
Imports: | Rcpp (≥ 0.12.6), stats, boot, gsl |
LinkingTo: | Rcpp |
Suggests: | MASS, CompQuadForm |
Published: | 2022-12-22 |
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 |
Reference manual: | energy.pdf |
Package source: | energy_1.7-11.tar.gz |
Windows binaries: | r-devel: energy_1.7-11.zip, r-release: energy_1.7-11.zip, r-oldrel: energy_1.7-11.zip |
macOS binaries: | r-release (arm64): energy_1.7-11.tgz, r-oldrel (arm64): energy_1.7-11.tgz, r-release (x86_64): energy_1.7-11.tgz, r-oldrel (x86_64): energy_1.7-11.tgz |
Old sources: | energy archive |
Reverse depends: | EnergyOnlineCPM, HellCor, MBC |
Reverse imports: | ANCOMBC, biosensors.usc, cassowaryr, CircMLE, Compositional, EDMeasure, etree, fAssets, GiniDistance, hySAINT, itdr, kpcalg, linkspotter, metrica, mgc, miRLAB, miRSM, MVN, MXM, nda, pgraph, PhyloProfile, scperturbR, semidist, Statsomat, stops, TDAkit, VariableScreening |
Reverse suggests: | compositions, copulaSim, correlation, dimRed, FAfA, FCPS, Pigengene, shotGroups, steadyICA, tourr |
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.
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