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  "Title": "Flexible Modeling of Multivariate Count Data via the\nMultivariate Conway-Maxwell-Poisson Distribution",
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  "Authors@R": "c(\nperson(\"Kimberly\", \"Sellers\", email = \"Kimberly.Sellers@georgetown.edu\", role = \"aut\"),\nperson(\"Darcy\" , \"Steeg Morris\", role = \"aut\"),\nperson(\"Narayanaswamy\" , \"Balakrishnan\" , role = \"aut\"),\nperson(\"Diag\", \"Davenport\", email = \"diag.davenport@gmail.com\",  role = c(\"aut\", \"cre\"))\n)",
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  "Description": "A toolkit containing statistical analysis models motivated\nby multivariate forms of the Conway-Maxwell-Poisson\n(COM-Poisson) distribution for flexible modeling of\nmultivariate count data, especially in the presence of data\ndispersion. Currently the package only supports bivariate data,\nvia the bivariate COM-Poisson distribution described in Sellers\net al. (2016) <doi:10.1016/j.jmva.2016.04.007>. Future\ndevelopment will extend the package to higher-dimensional data.",
  "URL": "http://dx.doi.org/10.1016/j.jmva.2016.04.007",
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