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Package: multivariance Title: Measuring Multivariate Dependence Using Distance Multivariance Version: 1.2.1 Date: 2019-01-04 Authors@R: c( person("Björn", "Böttcher", email = "firstname.lastname@example.org",role = c("aut", "cre")), person("Martin", "Keller-Ressel", email = "email@example.com", 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 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: abind, igraph, graphics, stats, Rcpp RoxygenNote: 6.1.1 Suggests: testthat LinkingTo: Rcpp NeedsCompilation: yes Packaged: 2019-01-04 08:40:30 UTC; BB Author: Björn Böttcher [aut, cre], Martin Keller-Ressel [ctb] Maintainer: Björn Böttcher <firstname.lastname@example.org> Repository: CRAN Date/Publication: 2019-01-05 00:20:03 UTC