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Tip revision: a8a673ff6b5bbf21ff110579fb06b2dfb6236967 authored by Björn Böttcher on 18 June 2019, 11:20:03 UTC
version 2.2.0
Tip revision: a8a673f
Package: multivariance
Title: Measuring Multivariate Dependence Using Distance Multivariance
Version: 2.2.0
Date: 2019-06-18
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, Dependence and Dependence Structures: Estimation and Visualization Using Distance Multivariance. <arXiv:1712.06532>.
    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>.
    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: 2019-06-18 11:18:18 UTC; BB
Author: Björn Böttcher [aut, cre],
  Martin Keller-Ressel [ctb]
Maintainer: Björn Böttcher <>
Repository: CRAN
Date/Publication: 2019-06-18 12:20:03 UTC
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