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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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13,840

Version

1.7-11

License

GPL (>= 2)

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Last Published

December 22nd, 2022

Functions in energy (1.7-11)

dcov2d

Fast dCor and dCov for bivariate data only
dcovU_stats

Unbiased distance covariance statistics
indep.etest

Energy Statistic Test of Independence
EVnormal

Eigenvalues for the energy Test of Univariate Normality
kgroups

K-Groups Clustering
centering distance matrices

Double centering and U-centering
U_product

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

Unbiased dcov and bias-corrected dcor statistics
edist

E-distance
eqdist.etest

Multisample E-statistic (Energy) Test of Equal Distributions
distance correlation

Distance Correlation and Covariance Statistics
mutual independence

Energy Test of Mutual Independence
normal.test

Energy Test of Univariate Normality
indep.test

Energy-tests of Independence
energy-deprecated

Deprecated Functions
pdcor

Partial distance correlation and covariance
energy-package

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

Sort, order and rank a vector
Poisson Tests

Goodness-of-Fit Tests for Poisson Distribution
mvI.test

Energy Statistic Test of Independence
mvnorm.test

E-statistic (Energy) Test of Multivariate Normality
energy.hclust

Hierarchical Clustering by Minimum (Energy) E-distance
dcov.test

Distance Covariance Test and Distance Correlation test
dcorT

Distance Correlation t-Test
disco

distance components (DISCO)
Distance Matrix

Distance Matrices