• # multivariance

• Referenced in 7 articles [sw31266]
• package multivariance: Measuring Multivariate Dependence Using Distance Multivariance. Distance multivariance is a measure of dependence ... Dependence Structures: Estimation and Visualization Using Distance Multivariance. . B. Böttcher, M. Keller-Ressel, R.L. Schilling ... Böttcher, M. Keller-Ressel, R.L. Schilling, Distance multivariance: New dependence measures for random vectors ... fields, Gaussian quadratic forms and sample distance multivariance...
• # Orca

• Referenced in 33 articles [sw32638]
• Mining Distance-Based Outliers. Orca is a program for mining outliers in large multivariate data ... that are rarely seen together. Orca mines distance-based outliers. That is, Orca uses...
• # GUniFrac

• Referenced in 3 articles [sw10012]
• UniFrac distances: Generalized UniFrac distance for comparing microbial communities. Permutational multivariate analysis of variance using...
• # FSDA

• Referenced in 23 articles [sw11737]
• evolved to include the main traditional robust multivariate and regression techniques, including ... scatterplot of units and a plot of distances of such units from a fitted model...
• # T2EQ

• Referenced in 0 articles [sw16708]
• equivalence is a multivariate two-sample equivalence test. Distance measure ... test is the Mahalanobis distance. For multivariate normally distributed data the T^2-test...
• # nbpMatching

• Referenced in 16 articles [sw06785]
• distances based on a given distance matrix. It brings greater flexibility to the matching design ... exact distribution-free test comparing two multivariate distributions. We also introduce an R package that...
• # mipmatch

• Referenced in 17 articles [sw06773]
• minimizing the total sum of distances while constraining the measures of imbalance to be less ... means, variances, and skewness; differences in multivariate moments, such as correlations between covariates; differences...
• # RKHS

• Referenced in 5 articles [sw03078]
• used to provide an extension of the multivariate concept of canonical correlation. A solution ... using the canonical $Y$ scores and related distance measures...
• # MDCGen

• Referenced in 1 article [sw32196]
• feature (i.e., multivariate distributions) or establishing overall intra-cluster distances. Being highly flexible, parameterizable...