• 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...
  • steadyICA

  • Referenced in 2 articles [sw35833]
  • Tests of Independence via Multivariate Distance Covariance. Functions related to multivariate measures of independence...
  • blockTools

  • Referenced in 1 article [sw25104]
  • condition, by creating a measure of multivariate distance between all possible pairs of units. Maximum...
  • GUniFrac

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

  • Referenced in 3 articles [sw16569]
  • normal random vectors, evaluating multivariate normal densities and Mahalanobis distances. These tools are very efficient...
  • PIONEER

  • Referenced in 1 article [sw12530]
  • PIONEER: Distance-based multivariate analysis. PIONEER is a program for the analysis of (social science...
  • CerioliOutlierDetection

  • Referenced in 3 articles [sw11068]
  • Cerioli (2010) for multivariate outlier detection via robust Mahalanobis distances. It also provides the finite...
  • 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...
  • crossmatch

  • Referenced in 1 article [sw21025]
  • test for comparing two multivariate distributions by using the distance between observations. The input...
  • adephylo

  • Referenced in 3 articles [sw08303]
  • phylogenetic distances and proximities, and novel methods for describing further univariate and multivariate phylogenetic structures...
  • 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...
  • modi

  • Referenced in 1 article [sw38777]
  • Mahalanobis distance or data depth. Imputation is based on the multivariate normal model or uses...
  • dCovTS

  • Referenced in 1 article [sw27900]
  • plotting the distance covariance and correlation function of a univariate or a multivariate time series...
  • 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...
  • gmfd

  • Referenced in 1 article [sw31204]
  • univariate and multivariate functional data, using a generalization of Mahalanobis distance, along with some functions...
  • 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...
  • hadimvo

  • Referenced in 2 articles [sw37494]
  • command hadimvo: hadimvo identifies multiple outliers in multivariate data using the method of Hadi ... newvar2 can also be created containing the distances from the basic subset...