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, 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.

AuthorMaria L. Rizzo and Gabor J. Szekely
Date of publication2016-08-26 07:34:19
MaintainerMaria Rizzo <mrizzo@bgsu.edu>
LicenseGPL (>= 2)
Version1.7-0

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