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  "Title": "Educational Assessment Tools for Replication Methods",
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  "Description": "Replication methods to compute some basic statistic\noperations (means, standard deviations, frequency tables,\npercentiles, mean comparisons using weighted effect coding,\ngeneralized linear models, and linear multilevel models) in\ncomplex survey designs comprising multiple imputed or nested\nimputed variables and/or a clustered sampling structure which\nboth deserve special procedures at least in estimating standard\nerrors. See the package documentation for a more detailed\ndescription along with references.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "URL": "https://github.com/weirichs/eatRep,\nhttps://weirichs.github.io/eatRep/",
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  "Repository": "https://weirichs.r-universe.dev",
  "Date/Publication": "2026-07-05 20:29:25 UTC",
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    "pool.R2",
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      ],
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        "idstud",
        "idclass",
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        "jkzone",
        "jkrep",
        "imp",
        "nest",
        "country",
        "sex",
        "ses",
        "mig",
        "domain",
        "score",
        "comp",
        "failMin",
        "passReg",
        "passOpt",
        "leScore",
        "leComp",
        "leFailMin",
        "lePassReg",
        "lePassOpt"
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      "title": "Statistical analyses in complex survey designs with multiple imputed data and trend estimation.",
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        "eatRep-package"
      ]
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      "topics": [
        "checkLEs"
      ]
    },
    {
      "page": "generateRandomJk1Zones",
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      "topics": [
        "generateRandomJk1Zones"
      ]
    },
    {
      "page": "lsa",
      "title": "Achievement data from two large-scale assessments of 2010 and 2015.",
      "topics": [
        "lsa"
      ]
    },
    {
      "page": "pool.R2",
      "title": "Compute R^2 in multiple imputed and nested multiple imputed data",
      "topics": [
        "pool.R2"
      ]
    },
    {
      "page": "repGlm",
      "title": "Replication methods (JK1, JK2 and BRR) for linear regression models and trend estimation.",
      "topics": [
        "jk2.glm",
        "repGlm"
      ]
    },
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      "title": "Replication methods (JK1 and JK2) for multilevel linear regression models and trend estimation.",
      "topics": [
        "repLmer"
      ]
    },
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        "repMean"
      ]
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        "report2"
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        "repQuantile"
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        "repTable"
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      "title": "Replication analyses with eatRep",
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      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "0. Installation",
        "1. Example data",
        "1.1 Excursus: reshape imputed data from wide into long format",
        "2. Main functions of \"eatRep\"",
        "2.1 Mean analysis",
        "2.2 Group differences in means",
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        "2.5 Trend analyses",
        "2.6 Loops across non-nested (grouping) variables",
        "2.7 Adjusted means",
        "3. Frequency analyses (repTable)",
        "3.1 Looping across several dependent variables",
        "3.2 Nested loops",
        "4. Analyses of ranges (repQuantile)",
        "5. Regression analyses (repGlm)",
        "References"
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