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  "Package": "MLCOPULA",
  "Type": "Package",
  "Title": "Classification Models with Copula Functions",
  "Description": "Provides several classifiers based on probabilistic\nmodels. These classifiers allow to model the dependence\nstructure of continuous features through bivariate copula\nfunctions and graphical models, see Salinas-Gutiérrez et al.\n(2014) <doi:10.1007/s00180-013-0457-y>.",
  "Version": "1.1.0",
  "Authors@R": "c(person(given=\"Rogelio\", family=\"Salinas Gutiérrez\", role = c(\"aut\", \"cre\", \"cph\"),\nemail = \"rsalinas@correo.uaa.mx\", comment = c(ORCID = \"0000-0002-1669-4460\")),\nperson(given=\"Angélica\", family=\"Hernández Quintero\", role = c(\"aut\", \"cph\"), comment = c(ORCID = \"0009-0000-0400-1244\")),\nperson(given=\"Pedro Abraham\", family=\"Montoya Calzada\", role = c(\"aut\", \"cph\"), comment = c(ORCID = \"0009-0002-3497-210X\")),\nperson(given=\"Carlos Alberto\", family=\"López Hernández\", role = c(\"aut\", \"cph\"), comment = c(ORCID = \"0009-0000-9428-1293\")),\nperson(given=\"Juan Manuel\", family=\"Marquez Romero\", role = c(\"aut\", \"cph\"), comment = c(ORCID = \"0000-0002-5059-1174\")))",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.2.1",
  "Author": "Rogelio Salinas Gutiérrez [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-1669-4460>), Angélica Hernández\nQuintero [aut, cph] (ORCID:\n<https://orcid.org/0009-0000-0400-1244>), Pedro Abraham Montoya\nCalzada [aut, cph] (ORCID:\n<https://orcid.org/0009-0002-3497-210X>), Carlos Alberto López\nHernández [aut, cph] (ORCID:\n<https://orcid.org/0009-0000-9428-1293>), Juan Manuel Marquez\nRomero [aut, cph] (ORCID:\n<https://orcid.org/0000-0002-5059-1174>)",
  "Maintainer": "Rogelio Salinas Gutiérrez <rsalinas@correo.uaa.mx>",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-18 06:05:30 UTC",
    "User": "root"
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-09-19 23:40:21 UTC",
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    "copulaClassifier",
    "copulaPredict"
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      "title": "Calculates classification performance metrics.",
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    {
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