Package: energy
Title: E-Statistics: Multivariate Inference via the Energy of Data
Version: 1.7-6
Date: 2019-07-04
Authors@R: c(
    person("Maria", "Rizzo", , "mrizzo@bgsu.edu", c("aut", "cre")),
    person("Gabor", "Szekely", , , "aut"))
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, 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.
Imports: Rcpp (>= 0.12.6), stats, boot
LinkingTo: Rcpp
Suggests: MASS, CompQuadForm
Depends: R (>= 2.10)
URL: https://github.com/mariarizzo/energy
License: GPL (>= 2)
NeedsCompilation: yes
Repository: CRAN
Packaged: 2019-07-05 23:21:29 UTC; maria
Author: Maria Rizzo [aut, cre],
  Gabor Szekely [aut]
Maintainer: Maria Rizzo <mrizzo@bgsu.edu>
Date/Publication: 2019-07-06 15:40:03 UTC
Built: R 3.5.1; x86_64-w64-mingw32; 2019-09-07 20:11:19 UTC; windows
Archs: x64
