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  "Package": "multivariance",
  "Title": "Measuring Multivariate Dependence Using Distance Multivariance",
  "Version": "2.4.1",
  "Date": "2021-10-06",
  "Authors@R": "c(\nperson(\"Björn\", \"Böttcher\", email = \"bjoern.boettcher@tu-dresden.de\",role = c(\"aut\", \"cre\")),\nperson(\"Martin\", \"Keller-Ressel\", email = \"martin.keller-ressel@tu-dresden.de\", role = \"ctb\")\n)",
  "Description": "Distance multivariance is a measure of dependence which\ncan be used to detect and quantify dependence of arbitrarily\nmany random vectors. The necessary functions are implemented in\nthis packages and examples are given. It includes: distance\nmultivariance, distance multicorrelation, dependence structure\ndetection, tests of independence and copula versions of\ndistance multivariance based on the Monte Carlo empirical\ntransform. Detailed references are given in the package\ndescription, as starting point for the theoretic background we\nrefer to: B. Böttcher, Dependence and Dependence Structures:\nEstimation and Visualization Using the Unifying Concept of\nDistance Multivariance. Open Statistics, Vol. 1, No. 1 (2020),\n<doi:10.1515/stat-2020-0001>.",
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  "Author": "Björn Böttcher [aut, cre], Martin Keller-Ressel [ctb]",
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      "title": "multivariance: Measuring Multivariate Dependence Using Distance Multivariance",
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