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  "Package": "cAIC4",
  "Type": "Package",
  "Title": "Conditional Akaike Information Criterion for 'lme4' and 'nlme'",
  "Version": "1.1",
  "Date": "2025-04-04",
  "Authors@R": "c(person(given = \"Benjamin\", family = \"Saefken\", role = \"aut\"),\nperson(given = \"David\", family = \"Ruegamer\", role = c(\"aut\", \"cre\"), email = \"david.ruegamer@gmail.com\"),\nperson(given = \"Philipp\", family = \"Baumann\", role = \"aut\"),\nperson(given = \"Rene-Marcel\", family = \"Kruse\", role = \"aut\"),\nperson(given = \"Sonja\", family = \"Greven\", role = \"aut\"),\nperson(given = \"Thomas\", family = \"Kneib\", role = \"aut\"))",
  "Description": "Provides functions for the estimation of the conditional\nAkaike information in generalized mixed-effect models fitted\nwith (g)lmer() from 'lme4', lme() from 'nlme' and gamm() from\n'mgcv'. For a manual on how to use 'cAIC4', see Saefken et al.\n(2021) <doi:10.18637/jss.v099.i08>.",
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  "Encoding": "UTF-8",
  "Author": "Benjamin Saefken [aut], David Ruegamer [aut, cre], Philipp\nBaumann [aut], Rene-Marcel Kruse [aut], Sonja Greven [aut],\nThomas Kneib [aut]",
  "Maintainer": "David Ruegamer <david.ruegamer@gmail.com>",
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  "_updates": [],
  "_tags": [],
  "_stars": 2,
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    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "manual.pdf"
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  "_realowner": "druegamer",
  "_cranurl": false,
  "_releases": [
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      "version": "0.1",
      "date": "2014-06-04"
    },
    {
      "version": "0.2",
      "date": "2014-08-12"
    },
    {
      "version": "0.3",
      "date": "2018-03-21"
    },
    {
      "version": "0.4",
      "date": "2018-05-22"
    },
    {
      "version": "0.5",
      "date": "2018-09-18"
    },
    {
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      "date": "2018-11-11"
    },
    {
      "version": "0.7",
      "date": "2019-02-02"
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      "date": "2019-04-17"
    },
    {
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      "date": "2021-09-22"
    },
    {
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      "date": "2025-04-04"
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  "_exports": [
    "anocAIC",
    "cAIC",
    "deleteZeroComponents",
    "getcondLL",
    "getModelComponents",
    "getWeights",
    "modelAvg",
    "predictMA",
    "stepcAIC",
    "summaryMA"
  ],
  "_datasets": [
    {
      "name": "guWahbaData",
      "title": "Data from Gu and Wahba (1991)",
      "object": "guWahbaData",
      "file": "guWahbaData.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "x0",
        "x1",
        "x2",
        "x3",
        "f",
        "f0",
        "f1",
        "f2",
        "f3"
      ],
      "rows": 400,
      "table": true,
      "tojson": true
    },
    {
      "name": "Zambia",
      "title": "Subset of the Zambia data set on childhood malnutrition",
      "object": "Zambia",
      "file": "Zambia.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "z",
        "c.bf",
        "c.age",
        "m.ht",
        "m.bmi",
        "reg",
        "dr"
      ],
      "rows": 659,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "cAIC4-package",
      "title": "Conditional Akaike Information Criterion for 'lme4' and 'nlme'",
      "topics": [
        "cAIC4-package",
        "cAIC4"
      ]
    },
    {
      "page": "anocAIC",
      "title": "Comparison of several lmer objects via cAIC",
      "topics": [
        "anocAIC"
      ]
    },
    {
      "page": "cAIC",
      "title": "Conditional Akaike Information for 'lme4' and 'lme'",
      "topics": [
        "cAIC"
      ]
    },
    {
      "page": "deleteZeroComponents",
      "title": "Delete random effect terms with zero variance",
      "topics": [
        "deleteZeroComponents",
        "deleteZeroComponents.lme",
        "deleteZeroComponents.merMod"
      ]
    },
    {
      "page": "family.lme",
      "title": "family function for lme objects to have a generic function",
      "topics": [
        "family.lme"
      ]
    },
    {
      "page": "getcondLL",
      "title": "Function to calculate the conditional log-likelihood",
      "topics": [
        "getcondLL",
        "getcondLL.lme",
        "getcondLL.merMod"
      ]
    },
    {
      "page": "getModelComponents",
      "title": "Generic getModelComponents method",
      "topics": [
        "getModelComponents"
      ]
    },
    {
      "page": "getModelComponents.lme",
      "title": "getModelComponents for lme objects",
      "topics": [
        "getModelComponents.lme"
      ]
    },
    {
      "page": "getModelComponents.merMod",
      "title": "getModelComponents for merMods",
      "topics": [
        "getModelComponents.merMod"
      ]
    },
    {
      "page": "getWeights",
      "title": "Optimize weights for model averaging.",
      "topics": [
        "getWeights"
      ]
    },
    {
      "page": "guWahbaData",
      "title": "Data from Gu and Wahba (1991)",
      "topics": [
        "guWahbaData"
      ]
    },
    {
      "page": "modelAvg",
      "title": "Model Averaging for Linear Mixed Models",
      "topics": [
        "modelAvg"
      ]
    },
    {
      "page": "predictMA",
      "title": "Prediction of model averaged linear mixed models",
      "topics": [
        "predictMA"
      ]
    },
    {
      "page": "print.cAIC",
      "title": "Print method for cAIC",
      "topics": [
        "print.cAIC"
      ]
    },
    {
      "page": "stepcAIC",
      "title": "Function to stepwise select the (generalized) linear mixed model fitted via (g)lmer() or (generalized) additive (mixed) model fitted via gamm4() with the smallest cAIC.",
      "topics": [
        "stepcAIC"
      ]
    },
    {
      "page": "summaryMA",
      "title": "Summary of model averaged linear mixed models",
      "topics": [
        "summaryMA"
      ]
    },
    {
      "page": "Zambia",
      "title": "Subset of the Zambia data set on childhood malnutrition",
      "topics": [
        "Zambia"
      ]
    }
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