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  "Title": "Generalized Linear Models Adjusting for Misrepresentation",
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  "Authors@R": "c( person(\"Patrick\", \"Rafael\", role = c(\"cre\", \"aut\"), email = \"pbr2608@vt.edu\"), person(\"Xia\", \"Michelle\", role = \"aut\"), person(\"Rexford\", \"Akakpo\", role = \"aut\"))",
  "Description": "Fit Generalized Linear Models to continuous and count\noutcomes, as well as estimate the prevalence of\nmisrepresentation of an important binary predictor.\nMisrepresentation typically arises when there is an incentive\nfor the binary factor to be misclassified in one direction\n(e.g., in insurance settings where policy holders may purposely\ndeny a risk status in order to lower the insurance premium).\nThis is accomplished by treating a subset of the response\nvariable as resulting from a mixture distribution. Model\nparameters are estimated via the Expectation Maximization\nalgorithm and standard errors of the estimates are obtained\nfrom closed forms of the Observed Fisher Information. For an\nintroduction to the models and the misrepresentation framework,\nsee Xia et. al., (2023)\n<https://variancejournal.org/article/73151-maximum-likelihood-approaches-to-misrepresentation-models-in-glm-ratemaking-model-comparisons>.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-19 06:48:17 UTC",
    "User": "root"
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  "Author": "Patrick Rafael [cre, aut], Xia Michelle [aut], Rexford Akakpo\n[aut]",
  "Maintainer": "Patrick Rafael <pbr2608@vt.edu>",
  "Repository": "https://pleasedontdothat.r-universe.dev",
  "Date/Publication": "2024-04-19 02:36:01 UTC",
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      "title": "MEPS 2014 Full Year Consolidated Data File",
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      ],
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      "title": "Fit a Linear Regression Misrepresentation Model using EM Algorithm",
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    },
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      "title": "Fit a Poisson Misrepresentation Model using EM Algorithm",
      "topics": [
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    },
    {
      "page": "predict.misrepEM",
      "title": "Predict method for 'misrepEM' Model Fits",
      "topics": [
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      ]
    },
    {
      "page": "summary.misrepEM",
      "title": "Summarize a 'misrepEM' Model Fit",
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