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multivariance
View on CRAN: Click
here
Download and install multivariance package within the R console
Install from CRAN:
install.packages("multivariance")
Install from Github:
library("remotes")
install_github("cran/multivariance")
Install by package version:
library("remotes")
install_version("multivariance", "2.4.1")
Attach the package and use:
library("multivariance")
Maintained by
Björn Böttcher
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.multivariance . multivariance results . multivariance.pdf . multivariance_2.4.1.tar.gz . multivariance_2.4.1.zip . multivariance_2.4.1.zip . multivariance_2.4.1.zip . multivariance_2.4.1.tgz . multivariance_2.4.1.tgz . multivariance_2.4.1.tgz . multivariance_2.4.1.tgz . multivariance_2.4.1.tgz . multivariance_2.4.1.tgz . multivariance archive . https://CRAN.R-project.org/package=multivariance .
First Published: 2017-11-02
Latest Update: 2021-10-06
Description:
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. B
How to cite:
Björn Böttcher (2017). multivariance: Measuring Multivariate Dependence Using Distance Multivariance. R package version 2.4.1, https://cran.r-project.org/web/packages/multivariance. Accessed 04 Apr. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for multivariance
Functions, R codes and Examples using
the multivariance R package
Some associated functions: N.coefficients . anscombe.extended . cdm.mu.bcd . cdm . cdms.mu.bcd . cdms . circle.coordinates . clean.graph . coins . copula.multicorrelation . copula.multicorrelation.test . copula.multivariance . d2 . dep_struct_iterated_13_100 . dep_struct_ring_15_100 . dep_struct_several_26_100 . dep_struct_star_9_100 . dependence.structure.full . dependence.structure . dist.to.matrix . dm . dms . double.center . doubleCenterBiasCorrected . doubleCenterBiasCorrectedUpper . doubleCenterBiasCorrectedUpperLower . doubleCenterSymMat . emp.transf.dep . emp.transf . emp.transf.vec . fastEuclideanCdm . fastdist . find.cluster . independence.test . is.doubly.centered . layout_on_circles . lower.order . m.multivariance . match.rows . match_rows . moments.for.pearson . mu3.unbiased . multicorrelation.bias.corrected . multicorrelation . multivariance-package . multivariance . multivariance.pvalue . multivariance.test . multivariance.timing . multivariances.all . p.value.to.star.label . pairwise.multicorrelation.bias.corrected . pearson.pvalue . pearson.pvalue.unif . pearson.qf . rejection.level . resample.multivariance . resample.pvalue . resample.rejection.level . sample.cdms . sample.cols . signed.sqrt . simple.int.hash . sums.of.products . tetrahedron . total.multicorrelation.bias.corrected.upper . total.multivariance .
Some associated R codes: RcppExports.R . multivariance-functions.R . Full multivariance package functions and examples
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