Measuring Multivariate Dependence Using Distance Multivariance


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Documentation for package ‘multivariance’ version 2.2.0

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multivariance-package multivariance: Measuring Multivariate Dependence Using Distance Multivariance
cdm centered distance matrix
cdms computes the centered distance matrices
clean.graph cleanup dependence structure graph
coins dependence example: k-independent coin sampling
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'
fastdist fast Euclidean distance matrix
fastEuclideanCdm fast centered Euclidean distance matrix
find.cluster cluster detection
independence.test test for independence
layout_on_circles A 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 of 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 centered distance matrices
sample.cols resample the columns of a matrix
tetrahedron dependence example: tetrahedron sampling
total.multivariance total distance multivariance