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Tip revision: 2ffcc6849222a41d7684515fd823120c29cfa0e2 authored by Björn Böttcher on 06 February 2019, 12:30:06 UTC
version 2.0.0
Tip revision: 2ffcc68
Package: multivariance
Title: Measuring Multivariate Dependence Using Distance Multivariance
Version: 2.0.0
Date: 2019-02-04
Authors@R: c(
    person("Björn", "Böttcher", email = "",role = c("aut", "cre")),
    person("Martin", "Keller-Ressel", email = "", role = "ctb")
Description: Distance multivariance is a measure of dependence which can be used to detect 
    and quantify dependence. The necessary functions are implemented in this packages, 
    and examples are given. For the theoretic background we refer to the papers:
    B. Böttcher, M. Keller-Ressel, R.L. Schilling, Detecting independence of random vectors: generalized distance covariance and Gaussian covariance. VMSTA, 2018, Vol. 5, No. 3, 353-383. <arXiv:1711.07778>.
    B. Böttcher, M. Keller-Ressel, R.L. Schilling, Distance multivariance: New dependence measures for random vectors. <arXiv:1711.07775>.
    B. Böttcher, Dependence and Dependence Structures: Estimation and Visualization Using Distance Multivariance. <arXiv:1712.06532>.
    G. Berschneider, B. Böttcher, On complex Gaussian random fields, Gaussian quadratic forms and sample distance multivariance. <arXiv:1808.07280>.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: igraph, graphics, stats, Rcpp, microbenchmark
RoxygenNote: 6.1.1
Suggests: testthat
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2019-02-06 12:44:10 UTC; BB
Author: Björn Böttcher [aut, cre],
  Martin Keller-Ressel [ctb]
Maintainer: Björn Böttcher <>
Repository: CRAN
Date/Publication: 2019-02-06 13:30:06 UTC
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