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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.
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