## 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 |

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