energy (1.7-5)

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, 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.

Maintainer: Maria Rizzo
Author(s): Maria Rizzo [aut, cre], Gabor Szekely [aut]

License: GPL (>= 2)

Uses: boot, Rcpp, MASS
Reverse depends: compositions, dCovTS, EnergyOnlineCPM, fAssets, fastHICA, HellCor, MBC
Reverse suggests: cdcsis, compositions, dimRed, FAiR, fAssets, shotGroups, steadyICA

Released over 1 year ago.