{
  "_id": "6a1025a3acfb0bcc41c8ed4a",
  "Package": "svyROC",
  "Title": "Estimation of the ROC Curve and the AUC for Complex Survey Data",
  "Version": "1.1.0",
  "Authors@R": "c(person(\"Amaia\", \"Iparragirre\", , \"amaia.iparragirre@ehu.eus\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-0660-6535\")),\nperson(\"Irantzu\", \"Barrio\", role = c(\"aut\")),\nperson(\"Inmaculada\", \"Arostegui\", role = c(\"aut\")))",
  "Maintainer": "Amaia Iparragirre <amaia.iparragirre@ehu.eus>",
  "Description": "Estimate the receiver operating characteristic (ROC)\ncurve, area under the curve (AUC) and optimal cut-off points\nfor individual classification taking into account complex\nsampling designs when working with complex survey data. Methods\nimplemented in this package are described in: A. Iparragirre,\nI. Barrio, I. Arostegui (2024) <doi:10.1002/sta4.635>; A.\nIparragirre, I. Barrio, J. Aramendi, I. Arostegui (2022)\n<doi:10.2436/20.8080.02.121>; A. Iparragirre, I. Barrio (2024)\n<doi:10.1007/978-3-031-65723-8_7>.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
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  "LazyData": "true",
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  "Repository": "https://aiparragirre.r-universe.dev",
  "Date/Publication": "2026-04-13 09:45:00 UTC",
  "RemoteUrl": "https://github.com/aiparragirre/svyroc",
  "RemoteRef": "HEAD",
  "RemoteSha": "0a60ccf7772e5f8e02bfe56c09c8888815b64ed0",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-13 09:27:03 UTC",
    "User": "root"
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  "Author": "Amaia Iparragirre [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-0660-6535>),\nIrantzu Barrio [aut],\nInmaculada Arostegui [aut]",
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  "_type": "src",
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  "_created": "2026-05-13T09:27:03.000Z",
  "_published": "2026-05-22T09:45:07.408Z",
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    "author": "Amaia Iparragirre <40216412+aiparragirre@users.noreply.github.com>",
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    "message": "Add files via upload",
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    "email": "amaia.iparragirre@ehu.eus",
    "login": "aiparragirre",
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  "_updates": [
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      "week": "2026-14",
      "n": 1
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    {
      "week": "2026-16",
      "n": 3
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  "_topics": [
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    "auc-optimism-correction",
    "complex-survey-data",
    "optimal-cut-off-points",
    "roc-curve",
    "sampling-weights"
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      "date": "2024-10-25"
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    "ht.paired",
    "wauc",
    "wocp",
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    "wroc.plot",
    "wse",
    "wsp"
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      "title": "Simulated data",
      "object": "example_data_wroc",
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      ],
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        "weights",
        "phat"
      ],
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      "tojson": true
    },
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      "title": "Simulated data",
      "object": "example_variables_wroc",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "x1",
        "x2",
        "x3",
        "x4",
        "x5",
        "x6",
        "strata",
        "cluster",
        "weights"
      ],
      "rows": 1720,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_variables_wroc_2",
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      "object": "example_variables_wroc_2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "x1",
        "x2",
        "x3",
        "x4",
        "x5",
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        "weights",
        "phat.1",
        "phat.2",
        "phat"
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      "tojson": false
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      "page": "ci.wauc",
      "title": "Design-based confidence intervals for the AUC.",
      "topics": [
        "ci.wauc"
      ]
    },
    {
      "page": "corrected.wauc",
      "title": "Corrected estimate of the AUC based on replicate weights.",
      "topics": [
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      ]
    },
    {
      "page": "example_data_wroc",
      "title": "Simulated data",
      "topics": [
        "example_data_wroc"
      ]
    },
    {
      "page": "example_variables_wroc",
      "title": "Simulated data",
      "topics": [
        "example_variables_wroc"
      ]
    },
    {
      "page": "example_variables_wroc_2",
      "title": "Simulated data",
      "topics": [
        "example_variables_wroc_2"
      ]
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      "page": "ht.indep",
      "title": "Design-based hypothesis test for the comparison of two independent AUCs.",
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      ]
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      "title": "Design-based hypothesis test for the comparison of two paired AUCs.",
      "topics": [
        "ht.paired"
      ]
    },
    {
      "page": "wauc",
      "title": "Estimation of the AUC of logistic regression models with complex survey data.",
      "topics": [
        "wauc"
      ]
    },
    {
      "page": "wocp",
      "title": "Optimal cut-off points for complex survey data",
      "topics": [
        "wocp"
      ]
    },
    {
      "page": "wroc",
      "title": "Estimation of the ROC curve of logistic regression models with complex survey data",
      "topics": [
        "wroc"
      ]
    },
    {
      "page": "wroc.plot",
      "title": "Estimation of the ROC curve of logistic regression models with complex survey data",
      "topics": [
        "wroc.plot"
      ]
    },
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      "title": "Estimation of the sensitivity with complex survey data",
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      ]
    },
    {
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