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.
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
EnergyOnlineCPM, HellCor, MBC |
| Reverse imports: |
ANCOMBC, biosensors.usc, cassowaryr, CircMLE, Compositional, etree, fAssets, GiniDistance, hySAINT, itdr, kpcalg, linkspotter, metrica, mgc, miRLAB, miRSM, MVN, MXM, nda, pgraph, PhyloProfile, scperturbR, semidist, Statsomat, stops, TDAkit, VariableScreening |
| Reverse suggests: |
bullseye, compositions, copulaSim, correlation, dimRed, FAfA, FCPS, Pigengene, shotGroups, steadyICA, tourr |
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