{
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  "Package": "saeTrafo",
  "Type": "Package",
  "Title": "Transformations for Unit-Level Small Area Models",
  "Version": "1.0.2",
  "Author": "Nora Würz [aut]",
  "Maintainer": "Nora Würz <nora.wuerz@uni-bamberg.de>",
  "Description": "The aim of this package is to offer new methodology for\nunit-level small area models under transformations and limited\npopulation auxiliary information. In addition to this new\nmethodology, the widely used nested error regression model\nwithout transformations (see \"An Error-Components Model for\nPrediction of County Crop Areas Using Survey and Satellite\nData\" by Battese, Harter and Fuller (1988)\n<doi:10.1080/01621459.1988.10478561>) and its well-known\nuncertainty estimate (see \"The estimation of the mean squared\nerror of small-area estimators\" by Prasad and Rao (1990)\n<doi:10.1080/01621459.1995.10476570>) are provided. In this\npackage, the log transformation and the data-driven log-shift\ntransformation are provided. If a transformation is selected,\nan appropriate method is chosen depending on the respective\ninput of the population data: Individual population data (see\n\"Empirical best prediction under a nested error model with log\ntransformation\" by Molina and Martín (2018)\n<doi:10.1214/17-aos1608>) but also aggregated population data\n(see \"Estimating regional income indicators under\ntransformations and access to limited population auxiliary\ninformation\" by Würz, Schmid and Tzavidis <unpublished>) can be\nentered. Especially under limited data access, new\nmethodologies are provided in saeTrafo. Several options are\navailable to assess the used model and to judge, present and\nexport its results. For a detailed description of the package\nand the methods used see the corresponding vignette.",
  "License": "GPL-2",
  "URL": "https://github.com/NoraWuerz/saeTrafo",
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  "Repository": "https://norawuerz.r-universe.dev",
  "Date/Publication": "2024-05-23 06:52:39 UTC",
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    "message": "Small correction in g2 Prasad Rao MSE\n",
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    "random.effects.NER",
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      "table": true,
      "tojson": true
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      "table": false,
      "tojson": true
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      "title": "Aggregates from simulated eusilc population data: domain-specific covariances",
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      "fields": [],
      "table": true,
      "tojson": true
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      "title": "Aggregates from simulated eusilc population data: domain-specific means",
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      ],
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      "table": true,
      "tojson": true
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  "_help": [
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      "page": "compare_plot",
      "title": "Shows plots for the comparison of estimates",
      "topics": [
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        "compare_plot.NER",
        "compare_plots_saeTrafo"
      ]
    },
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      "page": "compare_pred",
      "title": "Compare predictions of model objects",
      "topics": [
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        "compare_pred.saeTrafo"
      ]
    },
    {
      "page": "estimators",
      "title": "Presents point, MSE and CV estimates",
      "topics": [
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        "estimators.saeTrafo"
      ]
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      ]
    },
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      "title": "Simulated eusilc data - sample data",
      "topics": [
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      "title": "Extract fixed effects from an saeTrafo object",
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        "fixed.effects.NER",
        "fixef",
        "fixef.NER"
      ]
    },
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      "title": "Extract saeTrafo object data",
      "topics": [
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        "getData.NER"
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    },
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      "topics": [
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        "getGroups.NER"
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    },
    {
      "page": "getGroupsFormula",
      "title": "Extract grouping formula from a saeTrafo object",
      "topics": [
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        "getGroupsFormula.NER"
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      "title": "Extract response variable from an saeTrafo object",
      "topics": [
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        "getResponse.NER"
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        "saeTrafo"
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