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.
Documentation: Downloads: Reverse dependencies: Reverse depends: EnergyOnlineCPM, HellCor, MBC Reverse imports: ANCOMBC, biosensors.usc, cassowaryr, CircMLE, Compositional, dda, etree, FAfA, fAssets, GiniDistance, hySAINT, itdr, Lheuristic, linkspotter, metrica, mgc, miRLAB, miRSM, MVN, nda, pgraph, PhyloProfile, scperturbR, semidist, stops, TDAkit, VariableScreening Reverse suggests: bullseye, compositions, copulaSim, correlation, DataSimilarity, dimRed, FCPS, Pigengene, shotGroups, steadyICA, tourr Linking:Please use the canonical form https://CRAN.R-project.org/package=energy to link to this page.
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