{
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  "Package": "ChoR",
  "Title": "Chordalysis R Package",
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  "Date": "2018-05-16",
  "Authors@R": "c(\nperson(given = \"François\",  family = \"Petitjean\", role = \"aut\"),\nperson(given = \"Matthieu\",  family = \"Herrmann\",  role = c(\"aut\", \"com\", \"cre\"), email = \"matthieu.herrmann@monash.edu\"),\nperson(given = \"Christoph\", family = \"Bergmeir\",  role = c(\"ctb\"))  )",
  "Description": "Learning the structure of graphical models from datasets\nwith thousands of variables. More information about the\nresearch papers detailing the theory behind Chordalysis is\navailable at <http://www.francois-petitjean.com/Research> (KDD\n2016, SDM 2015, ICDM 2014, ICDM 2013). The R package\ndevelopment site is <https://github.com/HerrmannM/Monash-ChoR>.",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-03 07:13:58 UTC",
    "User": "root"
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  "Author": "François Petitjean [aut], Matthieu Herrmann [aut, com, cre],\nChristoph Bergmeir [ctb]",
  "Maintainer": "Matthieu Herrmann <matthieu.herrmann@monash.edu>",
  "Config/pak/sysreqs": "default-jdk",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2018-05-16 04:04:52 UTC",
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    "extra/citation.html",
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      "date": "2017-02-20"
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    },
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      "date": "2017-10-13"
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      "date": "2018-05-16"
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    "ChoR.as.formula",
    "ChoR.as.graph",
    "ChoR.Budget",
    "ChoR.MML",
    "ChoR.SMT"
  ],
  "_help": [
    {
      "page": "ChoR",
      "title": "Getting started with the ChoR package",
      "topics": [
        "ChoR-package",
        "ChoR"
      ]
    },
    {
      "page": "ChoR.as.cliques",
      "title": "Get the cliques.",
      "topics": [
        "ChoR.as.cliques"
      ]
    },
    {
      "page": "ChoR.as.formula",
      "title": "Get the formula.",
      "topics": [
        "ChoR.as.formula"
      ]
    },
    {
      "page": "ChoR.as.graph",
      "title": "Get the graph.",
      "topics": [
        "ChoR.as.graph"
      ]
    },
    {
      "page": "ChoR.Budget",
      "title": "Call to the budget chordalysis algorithm.",
      "topics": [
        "ChoR.Budget"
      ]
    },
    {
      "page": "ChoR.loadData",
      "title": "[INTERNAL] Load the data from a dataframe (and with an optionnal cardinality vector)",
      "topics": [
        "ChoR.loadData"
      ]
    },
    {
      "page": "ChoR.MML",
      "title": "Call to the MML chordalysis algorithm.",
      "topics": [
        "ChoR.MML"
      ]
    },
    {
      "page": "ChoR.processResult",
      "title": "[INTERNAL] Process the result of a java Chordalysis algorithm.",
      "topics": [
        "ChoR.processResult"
      ]
    },
    {
      "page": "ChoR.SMT",
      "title": "Call to the SMT chordalysis algorithm.",
      "topics": [
        "ChoR.SMT"
      ]
    },
    {
      "page": "print.chordalysis",
      "title": "Gives a string representation of the model.",
      "topics": [
        "print.chordalysis"
      ]
    },
    {
      "page": "toString",
      "title": "[INTERNAL] Gives a string representation of the model.",
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      ]
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