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 |