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, 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.

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Package
energy
Title
E-Statistics: Multivariate Inference via the Energy of Data
Version
1.7-5
Date
2018-08-11
Description
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.
Imports
Rcpp (>= 0.12.6), stats, boot
LinkingTo
Rcpp
Suggests
MASS
URL
License
GPL (>= 2)
NeedsCompilation
yes
Repository
CRAN
Packaged
2018-08-11 17:00:17 UTC; Maria
Author
Maria Rizzo [aut, cre], Gabor Szekely [aut]
Maintainer
Maria Rizzo
Date/Publication
2018-08-11 22:00:12 UTC

install.packages('energy')

1.7-5

4 months ago

https://github.com/mariarizzo/energy

Maria Rizzo

GPL (>= 2)

Imports

Rcpp (>= 0.12.6), stats, boot

Suggests

MASS

Discussions