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, 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.
Downloads:
Reverse dependencies:
Reverse depends: |
dCovTS, EnergyOnlineCPM, fastHICA, HellCor, MBC |
Reverse imports: |
aSPC, EDMeasure, fAssets, GiniDistance, kpcalg, linkspotter, mgc, miRLAB, miRSM, MVN, MXM, pgraph, PhyloProfile, RiemBaseExt, VariableScreening |
Reverse suggests: |
compositions, correlation, dimRed, FCPS, Pigengene, shotGroups, steadyICA |
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