# Measuring Multivariate Dependence Using Distance Multivariance

## Documentation for package ‘multivariance’ version 2.3.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

multivariance-package | multivariance: Measuring Multivariate Dependence Using Distance Multivariance
anscombe.extended | Extended Anscombe's Quartett
cdm | computes a doubly centered distance matrix
cdms | computes the doubly centered distance matrices
clean.graph | cleanup dependence structure graph
coins | dependence example: k-independent coin sampling
copula.multicorrelation | coupla versions of distance multicorrelation
copula.multicorrelation.test | independence tests using the copula versions of distance multivariance
copula.multivariance | copula version of distance multivariance
dependence.structure | determines the dependence structure
dep_struct_iterated_13_100 | example dataset for 'dependence.structure'
dep_struct_ring_15_100 | example dataset for 'dependence.structure'
dep_struct_several_26_100 | example dataset for 'dependence.structure'
dep_struct_star_9_100 | example dataset for 'dependence.structure'
emp.transf | Monte Carlo empirical transform
fastdist | fast Euclidean distance matrix
fastEuclideanCdm | fast centered Euclidean distance matrix
find.cluster | cluster detection
independence.test | test for independence
layout_on_circles | special igraph layout for the dependence structure visualization
m.multivariance | m distance multivariance
multicorrelation | distance multicorrelation
multivariance | distance multivariance
multivariance.pvalue | transform multivariance to p-value
multivariance.test | independence tests based on (total-/2-/3-) multivariance
multivariance.timing | estimate of the computation time
multivariances.all | simultaneous computation of multivariance and total/ 2-/ 3-multivariance
pearson.pvalue | fast p-value approximation
pearson.qf | approximate distribution function of a Gaussian quadratic form
rejection.level | rejection level for the test statistic
resample.multivariance | resampling (total /m-) multivariance
resample.pvalue | p-value via resampling
resample.rejection.level | rejection level via resampling
sample.cdms | resamples doubly centered distance matrices
sample.cols | resample the columns of a matrix
tetrahedron | dependence example: tetrahedron sampling
total.multivariance | total distance multivariance