The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

multivariance: Measuring Multivariate Dependence Using Distance Multivariance

Distance multivariance is a measure of dependence which can be used to detect and quantify dependence of arbitrarily many random vectors. The necessary functions are implemented in this packages and examples are given. It includes: distance multivariance, distance multicorrelation, dependence structure detection, tests of independence and copula versions of distance multivariance based on the Monte Carlo empirical transform. Detailed references are given in the package description, as starting point for the theoretic background we refer to: B. Böttcher, Dependence and Dependence Structures: Estimation and Visualization Using the Unifying Concept of Distance Multivariance. Open Statistics, Vol. 1, No. 1 (2020), <doi:10.1515/stat-2020-0001>.

Version: 2.4.1
Depends: R (≥ 3.3.0)
Imports: igraph, graphics, stats, Rcpp, microbenchmark
LinkingTo: Rcpp
Suggests: testthat
Published: 2021-10-06
DOI: 10.32614/CRAN.package.multivariance
Author: Björn Böttcher [aut, cre], Martin Keller-Ressel [ctb]
Maintainer: Björn Böttcher <bjoern.boettcher at tu-dresden.de>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: multivariance results

Documentation:

Reference manual: multivariance.pdf

Downloads:

Package source: multivariance_2.4.1.tar.gz
Windows binaries: r-devel: multivariance_2.4.1.zip, r-release: multivariance_2.4.1.zip, r-oldrel: multivariance_2.4.1.zip
macOS binaries: r-release (arm64): multivariance_2.4.1.tgz, r-oldrel (arm64): multivariance_2.4.1.tgz, r-release (x86_64): multivariance_2.4.1.tgz, r-oldrel (x86_64): multivariance_2.4.1.tgz
Old sources: multivariance archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=multivariance to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.