energy: 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, 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.
||Rcpp (≥ 0.12.6), stats, boot
||Maria L. Rizzo and Gabor J. Szekely
||Maria Rizzo <mrizzo at bgsu.edu>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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