Man pages for multivariance
Measuring Multivariate Dependence Using Distance Multivariance
| anscombe.extended | Extended Anscombe's Quartett |
| cdm | computes a doubly centered distance matrix |
| cdm.mu.bcd | given the sample of a single variable the doubly centered... |
| cdms | computes the doubly centered distance matrices |
| cdms.mu.bcd | computes the doubly centered distance matrices, mus and bcds |
| circle.coordinates | calculates the coordinates of n points on a circle of radius... |
| 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... |
| copula.multivariance | copula version of distance multivariance |
| d2 | functions which are required for the calculation of the... |
| dependence.structure | determines the dependence structure |
| dependence.structure.full | functions to detect the full (without clustering) dependence... |
| 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' |
| dist.to.matrix | transforms a distance matrix to a matrix |
| dm | distance matrix |
| dms | list of distance matrices |
| double.center | double centering of a matrix |
| doubleCenterBiasCorrected | bias corrected double centering # included for speed... |
| doubleCenterBiasCorrectedUpper | bias corrected double centering with normalizing # included... |
| doubleCenterBiasCorrectedUpperLower | bias corrected double centering with normalizing constants... |
| doubleCenterSymMat | double center a symmetric matrix |
| emp.transf | Monte Carlo empirical transform |
| emp.transf.dep | A dependent Monte Carlo emprical transform |
| emp.transf.vec | Transform a vector of samples into a vector of samples of the... |
| fastdist | fast Euclidean distance matrix |
| fastEuclideanCdm | fast centered Euclidean distance matrix |
| find.cluster | cluster detection |
| independence.test | test for independence |
| is.doubly.centered | checks if a matrix is doubly centered |
| layout_on_circles | special igraph layout for the dependence structure... |
| lower.order | check if lower order dependencies are present for the given... |
| match_rows | for the fast detection of the full dependence structure |
| match.rows | Returns the row indices of matrix A which match with B Use... |
| m.multivariance | m distance multivariance |
| moments.for.pearson | computes the moments as required for Pearson's approximation |
| mu3.unbiased | given the distance matrix the unbiased estimate for mu3 is... |
| multicorrelation | distance multicorrelation |
| multicorrelation.bias.corrected | bias corrected total multicorrelations |
| multivariance | distance multivariance |
| multivariance-package | multivariance: Measuring Multivariate Dependence Using... |
| multivariance.pvalue | transform multivariance to p-value |
| multivariances.all | simultaneous computation of multivariance and total/ 2-/... |
| multivariance.test | independence tests based on (total-/2-/3-) multivariance |
| multivariance.timing | estimate of the computation time |
| N.coefficients | Computes the explicit coefficients for the finite sample... |
| pairwise.multicorrelation.bias.corrected | pairwise multicorrelation |
| pearson.pvalue | fast p-value approximation |
| pearson.pvalue.unif | compute the p-value by Pearson's approximation assuming... |
| pearson.qf | approximate distribution function of a Gaussian quadratic... |
| p.value.to.star.label | transforms a p-value into the corresponding label |
| 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 |
| signed.sqrt | sign preserving square root |
| simple.int.hash | Simple integer hash from text |
| sums.of.products | This is the function GC which is required for the computation... |
| tetrahedron | dependence example: tetrahedron sampling |
| total.multicorrelation.bias.corrected.upper | # included for speed. it is faster than upper.lower |
| total.multivariance | total distance multivariance |
