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R-cran-energy
Jul 20, 2023
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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