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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' |
| find.cluster | cluster detection |
| independence.test | test for independence |
| m.multivariance | m distance multivariance |
| multicorrelation | distance multicorrelation |
| multivariance | distance multivariance |
| multivariance.pvalue | transform multivariance to p-value |
| multivariances.all | simultaneous computation of total/ 2-/ 3- /... multivariance |
| 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.cols | resample the columns of a matrix |
| tetrahedron | dependence example: tetrahedron sampling |
| total.multivariance | total distance multivariance |