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-post-staging / r-energy
conda install conda-forge::r-energyconda install conda-forge/label/cf201901::r-energyconda install conda-forge/label/cf202003::r-energyconda install conda-forge/label/gcc7::r-energy