{
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  "Package": "flexmix",
  "Type": "Package",
  "Title": "Flexible Mixture Modeling",
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  "Authors@R": "c(person(\"Bettina\", \"Gruen\", role = c(\"aut\", \"cre\"),\nemail = \"Bettina.Gruen@R-project.org\",\ncomment = c(ORCID = \"0000-0001-7265-4773\")),\nperson(\"Friedrich\", \"Leisch\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-7278-1983\")),\nperson(\"Deepayan\", \"Sarkar\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0003-4107-1553\")),\nperson(\"Frederic\", \"Mortier\", role = \"ctb\"),\nperson(\"Nicolas\", \"Picard\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0001-5548-9171\")))",
  "Description": "A general framework for finite mixtures of regression\nmodels using the EM algorithm is implemented. The E-step and\nall data handling are provided, while the M-step can be\nsupplied by the user to easily define new models. Existing\ndrivers implement mixtures of standard linear models,\ngeneralized linear models and model-based clustering.",
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  "Maintainer": "Bettina Gruen <Bettina.Gruen@R-project.org>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-02-28 06:20:02 UTC",
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    "logLik",
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    "refit",
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    "rflexmix",
    "rFLXM",
    "show",
    "stepFlexmix",
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    "unique"
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        "AIC,stepFlexmix-method"
      ]
    },
    {
      "page": "betablocker",
      "title": "Clinical Trial of Beta-Blockers",
      "topics": [
        "betablocker"
      ]
    },
    {
      "page": "BIC-methods",
      "title": "Methods for Function BIC",
      "topics": [
        "BIC,flexmix-method",
        "BIC,stepFlexmix-method"
      ]
    },
    {
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      "title": "Articles by Graduate Students in Biochemistry Ph.D. Programs",
      "topics": [
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      "page": "boot",
      "title": "Bootstrap a flexmix Object",
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        "boot,flexmix-method",
        "clusters,FLXboot,listOrdata.frame-method",
        "FLXboot-class",
        "LR_test",
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      "page": "EIC",
      "title": "Entropic Measure Information Criterion",
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        "EIC,flexmix-method",
        "EIC,stepFlexmix-method"
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      "title": "Artificial Data from a Generalized Linear Regression Mixture",
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        "ExLinear"
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      "title": "Artificial Example with 4 Gaussians",
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        "Nclus"
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        "fitted,FLXR-method",
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      "title": "Flexible Mixture Modeling",
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        "flexmix,formula,ANY,ANY,ANY,FLXM-method",
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      "page": "FLXcomponent-class",
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      "page": "patent",
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      "page": "plot-methods",
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      "page": "seizure",
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      "page": "stepFlexmix",
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