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.
|Author||Maria Rizzo [aut, cre], Gabor Szekely [aut]|
|Maintainer||Maria Rizzo <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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