{
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  "Package": "NMAR",
  "Type": "Package",
  "Title": "Estimation under not Missing at Random Nonresponse",
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  "Authors@R": "c(person(given = \"Maciej\",\nfamily = \"Beresewicz\",\nrole = c(\"aut\", \"cre\"),\nemail = \"maciej.beresewicz@ue.poznan.pl\",\ncomment = c(ORCID = \"0000-0002-8281-4301\")),\nperson(given = \"Igor\",\nfamily = \"Kołodziej\",\nrole = c(\"aut\", \"ctb\"),\nemail = \"igor.kolodziej@proton.me\"),\nperson(given = \"Mateusz\",\nfamily = \"Iwaniuk\",\nrole = c(\"aut\", \"ctb\"),\nemail = \"mateusz.iwaniuk11@gmail.com\"))",
  "Description": "Methods to estimate finite-population parameters under\nnonresponse that is not missing at random (NMAR, nonignorable).\nIncorporates auxiliary information and user-specified response\nmodels, and supports independent samples and complex survey\ndesigns via objects from the 'survey' package. Provides\ndiagnostics and optional variance estimates. For methodological\nbackground see Qin, Leung and Shao (2002)\n<doi:10.1198/016214502753479338> and Riddles, Kim and Im (2016)\n<doi:10.1093/jssam/smv047>.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/ncn-foreigners/NMAR,\nhttps://ncn-foreigners.ue.poznan.pl/NMAR/index.html",
  "BugReports": "https://github.com/ncn-foreigners/NMAR/issues",
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  "Date/Publication": "2026-02-04 15:09:54 UTC",
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    "User": "root"
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  "Author": "Maciej Beresewicz [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-8281-4301>),\nIgor Kołodziej [aut, ctb],\nMateusz Iwaniuk [aut, ctb]",
  "Maintainer": "Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl>",
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  "_created": "2026-07-04T06:09:08.000Z",
  "_published": "2026-07-04T06:35:06.955Z",
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  "_stars": 4,
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      "title": "Polish Household Budget Data with Simulated Nonignorable Nonresponse",
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      ],
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        "y",
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      "table": true,
      "tojson": true
    },
    {
      "name": "riddles_case2",
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      "object": "riddles_case2",
      "class": [
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      ],
      "fields": [
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        "y",
        "y_true",
        "delta"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "riddles_case3",
      "title": "Riddles Simulation, Case 3: Sine Wave Mean",
      "object": "riddles_case3",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "y",
        "y_true",
        "delta"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "riddles_case4",
      "title": "Riddles Simulation, Case 4: Cubic Mean",
      "object": "riddles_case4",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "y",
        "y_true",
        "delta"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
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      "title": "Aggregated Exit Poll Data for Gangdong-Gap (2012)",
      "object": "voting",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Gender",
        "Age_group",
        "Voted_A",
        "Voted_B",
        "Other",
        "Refusal",
        "Total"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "coef.nmar_result",
      "title": "Default coefficients for NMAR results",
      "topics": [
        "coef.nmar_result"
      ]
    },
    {
      "page": "coef.summary_nmar_result",
      "title": "Coefficient table for summary objects",
      "topics": [
        "coef.summary_nmar_result"
      ]
    },
    {
      "page": "confint.nmar_result",
      "title": "Wald confidence interval for NMAR results",
      "topics": [
        "confint.nmar_result"
      ]
    },
    {
      "page": "confint.summary_nmar_result",
      "title": "Confidence intervals for summary objects",
      "topics": [
        "confint.summary_nmar_result"
      ]
    },
    {
      "page": "el_engine",
      "title": "Empirical likelihood engine for NMAR",
      "topics": [
        "el_engine"
      ]
    },
    {
      "page": "engine_config",
      "title": "Extract engine configuration",
      "topics": [
        "engine_config"
      ]
    },
    {
      "page": "engine_name",
      "title": "Canonical engine name",
      "topics": [
        "engine_name"
      ]
    },
    {
      "page": "exptilt_engine",
      "title": "Exponential tilting engine for NMAR",
      "topics": [
        "exptilt_engine"
      ]
    },
    {
      "page": "exptilt_nonparam_engine",
      "title": "Nonparametric exponential tilting engine for NMAR",
      "topics": [
        "exptilt_nonparam_engine"
      ]
    },
    {
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      "title": "Default fitted values for NMAR results",
      "topics": [
        "fitted.nmar_result"
      ]
    },
    {
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      "title": "Formatter for engines",
      "topics": [
        "format.nmar_engine"
      ]
    },
    {
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      "title": "Default formula for NMAR results",
      "topics": [
        "formula.nmar_result"
      ]
    },
    {
      "page": "glance.nmar_result",
      "title": "Glance summary for NMAR results",
      "topics": [
        "glance.nmar_result"
      ]
    },
    {
      "page": "nmar",
      "title": "Not Missing at Random Estimation",
      "topics": [
        "nmar"
      ]
    },
    {
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      "title": "Polish Household Budget Data with Simulated Nonignorable Nonresponse",
      "topics": [
        "polish_households"
      ]
    },
    {
      "page": "print.nmar_engine",
      "title": "Print method for engines",
      "topics": [
        "print.nmar_engine"
      ]
    },
    {
      "page": "print.nmar_result",
      "title": "Print method for nmar_result",
      "topics": [
        "print.nmar_result"
      ]
    },
    {
      "page": "print.nmar_result_el",
      "title": "Print method for EL results",
      "topics": [
        "print.nmar_result_el"
      ]
    },
    {
      "page": "print.nmar_result_exptilt",
      "title": "Print method for Exponential Tilting results (engine-specific)",
      "topics": [
        "print.nmar_result_exptilt"
      ]
    },
    {
      "page": "print.summary_nmar_result",
      "title": "Print method for summary.nmar_result",
      "topics": [
        "print.summary_nmar_result"
      ]
    },
    {
      "page": "riddles_case1",
      "title": "Riddles Simulation, Case 1: Linear Mean",
      "topics": [
        "riddles_case1"
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    {
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      "topics": [
        "riddles_case2"
      ]
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      "title": "Riddles Simulation, Case 3: Sine Wave Mean",
      "topics": [
        "riddles_case3"
      ]
    },
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      "page": "riddles_case4",
      "title": "Riddles Simulation, Case 4: Cubic Mean",
      "topics": [
        "riddles_case4"
      ]
    },
    {
      "page": "se",
      "title": "Extract standard error for NMAR results",
      "topics": [
        "se"
      ]
    },
    {
      "page": "summary.nmar_result",
      "title": "Summary method for nmar_result",
      "topics": [
        "summary.nmar_result"
      ]
    },
    {
      "page": "summary.nmar_result_el",
      "title": "Summary method for EL results",
      "topics": [
        "summary.nmar_result_el"
      ]
    },
    {
      "page": "summary.nmar_result_exptilt",
      "title": "Summary method for Exponential Tilting results (engine-specific)",
      "topics": [
        "summary.nmar_result_exptilt"
      ]
    },
    {
      "page": "tidy.nmar_result",
      "title": "Tidy summary for NMAR results",
      "topics": [
        "tidy.nmar_result"
      ]
    },
    {
      "page": "vcov.nmar_result",
      "title": "Variance-covariance for NMAR results",
      "topics": [
        "vcov.nmar_result"
      ]
    },
    {
      "page": "voting",
      "title": "Aggregated Exit Poll Data for Gangdong-Gap (2012)",
      "topics": [
        "voting"
      ]
    },
    {
      "page": "weights.nmar_result",
      "title": "Extract weights from an `nmar_result`",
      "topics": [
        "weights.nmar_result"
      ]
    }
  ],
  "_pkglogo": "https://github.com/ncn-foreigners/nmar/raw/HEAD/logo.png",
  "_readme": "https://github.com/ncn-foreigners/nmar/raw/HEAD/README.md",
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