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 |