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Title: E-Statistics: Multivariate Inference via the Energy of Data
Version: 1.7-2
Date: 2017-09-14
Author: Maria L. Rizzo and Gabor J. Szekely
Description: 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.
Maintainer: Maria Rizzo <mrizzo@bgsu.edu>
Imports: Rcpp (>= 0.12.6), stats, boot
LinkingTo: Rcpp
Suggests: MASS
URL: https://github.com/mariarizzo/energy
License: GPL (>= 2)
NeedsCompilation: yes
Repository: CRAN
Packaged: 2017-09-14 17:47:42 UTC; Maria
Date/Publication: 2017-09-14 22:25:08 UTC
Built: R 3.4.2; x86_64-pc-linux-gnu; "Wed, 20 Sep 2017 06:21:48 -0500"; unix
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