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r-energy

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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.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-energy

Usage Tracking

1.7_12
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About

Summary

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.

Last Updated

Sep 7, 2019 at 20:12

License

GPL-2

Supported Platforms

linux-64
macOS-64
win-64

Unsupported Platforms

linux-aarch64 Last supported version: 1.7_12
linux-ppc64le Last supported version: 1.7_12
macOS-arm64 Last supported version: 1.7_12