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.
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curl https://depscope.dev/api/check/conda/r-energyFirst published · 2021-02-22 19:53:03.524000+00:00
Last updated · 2025-09-14 02:56:51.068000+00:00