Measuring Multivariate Dependence Using Distance Multivariance
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Documentation for package ‘multivariance’ version 2.4.1
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 |
| CMcor | coupla versions of distance multicorrelation |
| 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 |
| Mcor | distance multicorrelation |
| 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 |