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  "Date": "2023-12-02",
  "Title": "Model-Based Clustering of Categorical Sequences",
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  "LazyData": "no",
  "Description": "Clustering categorical sequences by means of finite\nmixtures with Markov model components is the main utility of\nClickClust. The package also allows detecting blocks of\nequivalent states by forward and backward state selection\nprocedures.",
  "License": "GPL (>= 2)",
  "Packaged": {
    "Date": "2026-05-29 11:13:08 UTC",
    "User": "root"
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  "Author": "Volodymyr Melnykov [aut, cre], Rouben Rostamian [ctb, cph]\n(memory allocation in c)",
  "Maintainer": "Volodymyr Melnykov <vmelnykov@ua.edu>",
  "NeedsCompilation": "yes",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-12-04 02:38:45 UTC",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/ClickClust.html",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
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  "_realowner": "cran",
  "_cranurl": false,
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    "click.predict",
    "click.read",
    "click.sim",
    "click.var",
    "print.EM",
    "print.search",
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  "_help": [
    {
      "page": "ClickClust-package",
      "title": "Model-based clustering of categorical sequences",
      "topics": [
        "ClickClust-package"
      ]
    },
    {
      "page": "B3",
      "title": "Dataset: result of backward state selection",
      "topics": [
        "B3"
      ]
    },
    {
      "page": "C",
      "title": "Dataset: simulated dataset",
      "topics": [
        "C"
      ]
    },
    {
      "page": "BackwardSearch",
      "title": "Backward search for equivalent states",
      "topics": [
        "click.backward"
      ]
    },
    {
      "page": "ClickClust",
      "title": "EM algorithm for mixtures of Markov models",
      "topics": [
        "click.EM"
      ]
    },
    {
      "page": "ForwardSearch",
      "title": "Forward search for equivalent states",
      "topics": [
        "click.forward"
      ]
    },
    {
      "page": "ClickPlot",
      "title": "Plot of the obtained clustering solution",
      "topics": [
        "click.plot"
      ]
    },
    {
      "page": "Predict",
      "title": "Prediction of future state visits",
      "topics": [
        "click.predict"
      ]
    },
    {
      "page": "ReadData",
      "title": "Reading sequences of visited states",
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        "click.read"
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    },
    {
      "page": "SimData",
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      "topics": [
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    },
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      "page": "VarEst",
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      "topics": [
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    },
    {
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      "title": "Dataset: msnbc323",
      "topics": [
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    },
    {
      "page": "print.summary",
      "title": "Functions for Printing or Summarizing Objects",
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        "print.search",
        "summary.EM",
        "summary.search"
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    },
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