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, 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.
| Version: |
1.7-0 |
| Imports: |
Rcpp (≥ 0.12.6), stats, boot |
| LinkingTo: |
Rcpp |
| Suggests: |
MASS |
| Published: |
2016-08-26 |
| Author: |
Maria L. Rizzo and Gabor J. Szekely |
| Maintainer: |
Maria Rizzo <mrizzo at bgsu.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| In views: |
Multivariate |
| CRAN checks: |
energy results |
Downloads:
Reverse dependencies:
| Reverse depends: |
compositions, dCovTS, fastHICA, MBC |
| Reverse imports: |
fAssets, kpcalg, MXM, pgraph |
| Reverse suggests: |
cdcsis, dimRed, FAiR, shotGroups, steadyICA |
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