{ "_id": "6a22935ccd65a98ecbd561e3", "Package": "mvcauchy", "Type": "Package", "Title": "Multivariate Cauchy Distribution", "Version": "1.1", "Date": "2024-06-03", "Authors@R": "c( person(\"Michail\", \"Tsagris\", role = c(\"aut\", \"cre\"), email = \"mtsagris@uoc.gr\"),\nperson(\"Christos\", \"Adam\", role = \"ctb\", email = \"pada4m4@gmail.com\") )", "Author": "Michail Tsagris [aut, cre], Christos Adam [ctb]", "Maintainer": "Michail Tsagris ", "Description": "The Cauchy distribution is a special case of the t\ndistribution when the degrees of freedom are equal to 1. The\nfunctions are related to the multivariate Cauchy distribution\nand include simulation, computation of the density, maximum\nlikelihood estimation, contour plot of the bivariate Cauchy\ndistribution, and discriminant analysis. References include:\nNadarajah S. and Kotz S. (2008). \"Estimation methods for the\nmultivariate t distribution\". Acta Applicandae Mathematicae,\n102(1): 99--118. , and Kanti V.\nMardia, John T. Kent and John M. Bibby (1979). \"Multivariate\nanalysis\", ISBN:978-0124712522. 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