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.
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Reverse dependencies:
| Reverse depends: | EnergyOnlineCPM,HellCor,MBC |
| Reverse imports: | ANCOMBC,biosensors.usc,cassowaryr,CircMLE,Compositional,dda,energyGOF,etree,FAfA,fAssets,GiniDistance,hbsaems,hySAINT,itdr,Lheuristic,linkspotter,metrica,mgc,miRLAB,miRSM,MVN,nda,pgraph,PhyloProfile,scperturbR,semidist,stops,TDAkit,tourr,VariableScreening |
| Reverse suggests: | bullseye,compositions,copulaSim,correlation,corrselect,DataSimilarity,dimRed,FCPS,shotGroups,steadyICA |
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