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energy

energy package for R

The energy package for R implements several methods in multivariate analysis and multivariate inference based on the energy distance, which characterizes equality of distributions.

Distance correlation (multivariate independence), disco (nonparametric extension of ANOVA), and goodness-of-fit tests are examples of some of the methods included.

energy is named based on the analogy with potential energy in physics. See the references in the manual for more details.

[]https://cran.r-project.org/package=energy)

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install.packages('energy')

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8,439

Version

1.7-7

License

GPL (>= 2)

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Maintainer

Maria Rizzo

Last Published

December 7th, 2019

Functions in energy (1.7-7)

distance correlation

Distance Correlation and Covariance Statistics
disco

distance components (DISCO)
edist

E-distance
U_product

Inner product in the Hilbert space of U-centered distance matrices
centering distance matrices

Double centering and U-centering
energy-deprecated

Deprecated Functions
poisson.mtest

Mean Distance Test for Poisson Distribution
energy-package

E-statistics: Multivariate Inference via the Energy of Data
sortrank

Sort, order and rank a vector
energy.hclust

Hierarchical Clustering by Minimum (Energy) E-distance
EVnormal

Eigenvalues for the energy Test of Univariate Normality
indep.etest

Energy Statistic Test of Independence
normal.test

Energy Test of Univariate Normality
pdcor

Partial distance correlation and covariance
eqdist.etest

Multisample E-statistic (Energy) Test of Equal Distributions
indep.test

Energy-tests of Independence
mvI.test

Energy Statistic Test of Independence
kgroups

K-Groups Clustering
mvnorm.test

E-statistic (Energy) Test of Multivariate Normality
dcov2d

Fast dCor and dCov for bivariate data only
dcorT

Distance Correlation t-Test
Unbiased distance covariance

Unbiased dcov and bias-corrected dcor statistics
dcov.test

Distance Covariance Test and Distance Correlation test
dcovU_stats

Unbiased distance covariance statistics