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  "Title": "Missing Data Imputation and Model Checking",
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  "Date": "2025-09-01",
  "Authors@R": "c(person(\"Andrew\", \"Gelman\", email = \"gelman@stat.columbia.edu\", role = \"ctb\"), \nperson(\"Jennifer\", \"Hill\", email = \"jennifer.hill@nyu.edu\", role = \"ctb\"),\nperson(\"Yu-Sung\", \"Su\", email = \"suyusung@tsinghua.edu.cn\", role = c(\"aut\")),\nperson(\"Masanao\", \"Yajima\", email = \"my2167@columbia.edu\", role = \"ctb\"),\nperson(\"Maria\", \"Pittau\", email = \"grazia@stat.columbia.edu\", role = \"ctb\"),\nperson(\"Ben\", \"Goodrich\", email = \"benjamin.goodrich@columbia.edu\", role = c(\"cre\", \"aut\")),\nperson(\"Yajuan\", \"Si\", email = \"sophie2012@gmail.com\", role = \"ctb\"),\nperson(\"Jon\", \"Kropko\", email = \"jkropko@gmail.com\", role = \"aut\"))",
  "Description": "The mi package provides functions for data manipulation,\nimputing missing values in an approximate Bayesian framework,\ndiagnostics of the models used to generate the imputations,\nconfidence-building mechanisms to validate some of the\nassumptions of the imputation algorithm, and functions to\nanalyze multiply imputed data sets with the appropriate degree\nof sampling uncertainty.",
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    ".prune",
    "change",
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    "change_imputation_method",
    "change_link",
    "change_model",
    "change_size",
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    "missing_data.frame",
    "missing_variable",
    "multinomial",
    "plot",
    "pool",
    "rdata.frame",
    "Rhats"
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      "title": "Subset of variables from the CHAIN project",
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      "file": "CHAIN.RData",
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        "data.frame"
      ],
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        "age",
        "income",
        "healthy",
        "mental",
        "damage",
        "treatment"
      ],
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      "table": true,
      "tojson": true
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      "object": "nlsyV",
      "file": "nlsyV.RData",
      "class": [
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        "first",
        "b.marr",
        "income",
        "momage",
        "momed",
        "momrace"
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      "table": true,
      "tojson": true
    }
  ],
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    {
      "page": "00mi-package",
      "title": "Iterative Multiple Imputation from Conditional Distributions",
      "topics": [
        "mi-package"
      ]
    },
    {
      "page": "01missing_variable",
      "title": "Class \"missing_variable\" and Inherited Classes",
      "topics": [
        "01missing_variable",
        "MatrixTypeThing-class",
        "missing_variable",
        "missing_variable-class",
        "WeAreFamily-class"
      ]
    },
    {
      "page": "02missing_data.frame",
      "title": "Class \"missing_data.frame\"",
      "topics": [
        "02missing_data.frame",
        "missing_data.frame",
        "missing_data.frame-class"
      ]
    },
    {
      "page": "03change",
      "title": "Make Changes to Discretionary Characteristics of Missing Variables",
      "topics": [
        "03change",
        "change",
        "change-methods",
        "change_family",
        "change_imputation_method",
        "change_link",
        "change_model",
        "change_size",
        "change_transformation",
        "change_type"
      ]
    },
    {
      "page": "04mi",
      "title": "Multiple Imputation",
      "topics": [
        "04mi",
        "mi",
        "mi-class",
        "mi-methods"
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    {
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      "title": "Convergence Diagnostics",
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        "mi2BUGS",
        "Rhats"
      ]
    },
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      "title": "Estimate a Model Pooling Over the Imputed Datasets",
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        "display,pooled-method",
        "pool",
        "pooled-class",
        "pooled-methods"
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      "title": "Extract the Completed Data",
      "topics": [
        "07complete",
        "complete",
        "complete-methods"
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      "title": "Class \"allcategorical_missing_data.frame\"",
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        "allcategorical_missing_data.frame-class"
      ]
    },
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      "title": "Class \"bounded-continuous\"",
      "topics": [
        "bounded-continuous",
        "bounded-continuous-class"
      ]
    },
    {
      "page": "categorical",
      "title": "Class \"categorical\" and Inherited Classes",
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        "binary-class",
        "categorical",
        "categorical-class",
        "grouped-binary-class",
        "interval-class",
        "ordered-categorical-class",
        "unordered-categorical-class"
      ]
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    {
      "page": "censored-continuous",
      "title": "The \"censored-continuous\" Class, the \"truncated-continuous\" Class and Inherited Classes",
      "topics": [
        "censored-continuous",
        "censored-continuous-class",
        "FF_censored-continuous-class",
        "FF_truncated-continuous-class",
        "FN_censored-continuous-class",
        "FN_truncated-continuous-class",
        "NF_censored-continuous-class",
        "NF_truncated-continuous-class",
        "NN_censored-continuous-class",
        "NN_truncated-continuous-class",
        "truncated-continuous",
        "truncated-continuous-class"
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    },
    {
      "page": "CHAIN",
      "title": "Subset of variables from the CHAIN project",
      "topics": [
        "CHAIN"
      ]
    },
    {
      "page": "continuous",
      "title": "Class \"continuous\"",
      "topics": [
        "continuous",
        "continuous-class"
      ]
    },
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        "count-class"
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      "title": "Wrappers To Fit a Model",
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        "fit_model-methods"
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      "page": "get_parameters",
      "title": "An Extractor Function for Model Parameters",
      "topics": [
        "get_parameters",
        "get_parameters-methods"
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      "page": "hist",
      "title": "Histograms of Multiply Imputed Data",
      "topics": [
        "hist",
        "hist-methods"
      ]
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    {
      "page": "irrelevant",
      "title": "Class \"irrelevant\" and Inherited Classes",
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        "fixed-class",
        "group-class",
        "irrelevant",
        "irrelevant-class"
      ]
    },
    {
      "page": "mi2stata",
      "title": "Exports completed data in Stata (.dta) or comma-separated (.csv) format",
      "topics": [
        "mi2stata"
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        "mipply"
      ]
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        "multilevel_missing_data.frame-class"
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      "title": "The multinomial family",
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      "topics": [
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      ]
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        "proportion-class"
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      "title": "Generate a random data.frame with tunable characteristics",
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        "rdata.frame"
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      "page": "semi-continuous",
      "title": "Class \"semi-continuous\" and Inherited Classes",
      "topics": [
        "nonnegative-continuous",
        "nonnegative-continuous-class",
        "SC_proportion",
        "SC_proportion-class",
        "semi-continuous",
        "semi-continuous-class"
      ]
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