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.
copied from cf-staging / r-energyLabel | Latest Version |
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main | 1.7_2 |
cf201901 | 1.7_2 |
cf202003 | 1.7_2 |
gcc7 | 1.7_5 |