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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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13,586

Version

1.7-9

License

GPL (>= 2)

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Maintainer

Maria Rizzo

Last Published

January 25th, 2022

Functions in energy (1.7-9)

Unbiased distance covariance

Unbiased dcov and bias-corrected dcor statistics
centering distance matrices

Double centering and U-centering
disco

distance components (DISCO)
dcov2d

Fast dCor and dCov for bivariate data only
edist

E-distance
dcovU_stats

Unbiased distance covariance statistics
dcov.test

Distance Covariance Test and Distance Correlation test
U_product

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

Distance Correlation and Covariance Statistics
dcorT

Distance Correlation t-Test
mvI.test

Energy Statistic Test of Independence
energy-package

E-statistics: Multivariate Inference via the Energy of Data
energy-deprecated

Deprecated Functions
sortrank

Sort, order and rank a vector
EVnormal

Eigenvalues for the energy Test of Univariate Normality
Poisson Tests

Goodness-of-Fit Tests for Poisson Distribution
energy.hclust

Hierarchical Clustering by Minimum (Energy) E-distance
eqdist.etest

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

Energy Test of Univariate Normality
mvnorm.test

E-statistic (Energy) Test of Multivariate Normality
indep.etest

Energy Statistic Test of Independence
pdcor

Partial distance correlation and covariance
indep.test

Energy-tests of Independence
kgroups

K-Groups Clustering