{
  "_id": "6a1f370ab401979e73428aa7",
  "Package": "fragility",
  "Type": "Package",
  "Title": "Assessing and Visualizing Fragility of Clinical Results with\nBinary Outcomes",
  "Version": "1.6.1",
  "Date": "2025-01-23",
  "Authors@R": "c(person(given = \"Lifeng\", family = \"Lin\",\nrole = c(\"aut\", \"cre\"), email = \"lifenglin@arizona.edu\",\ncomment = c(ORCID = \"0000-0002-3562-9816\")),\nperson(given = \"Haitao\", family = \"Chu\",\nrole = c(\"aut\"), email = \"chux0051@umn.edu\",\ncomment = c(ORCID = \"0000-0003-0932-598X\")))",
  "Maintainer": "Lifeng Lin <lifenglin@arizona.edu>",
  "Description": "A collection of user-friendly functions for assessing and\nvisualizing fragility of individual studies (Walsh et al., 2014\n<doi:10.1016/j.jclinepi.2013.10.019>; Lin, 2021\n<doi:10.1111/jep.13428>), conventional pairwise meta-analyses\n(Atal et al., 2019 <doi:10.1016/j.jclinepi.2019.03.012>), and\nnetwork meta-analyses of multiple treatments with binary\noutcomes (Xing et al., 2020\n<doi:10.1016/j.jclinepi.2020.07.003>). The included functions\nare designed to: 1) calculate the fragility index (i.e., the\nminimal event status modifications that can alter the\nsignificance or non-significance of the original result) and\nfragility quotient (i.e., fragility index divided by sample\nsize) at a specific significance level; 2) give the cases of\nevent status modifications for altering the result's\nsignificance or non-significance and visualize these cases; 3)\nvisualize the trend of statistical significance as event status\nis modified; 4) efficiently derive fragility indexes and\nfragility quotients at multiple significance levels, and\nvisualize the relationship between these fragility measures\nagainst the significance levels; and 5) calculate fragility\nindexes and fragility quotients of multiple datasets (e.g., a\ncollection of clinical trials or meta-analyses) and produce\nplots of their overall distributions. The outputs from these\nfunctions may inform the robustness of clinical results in\nterms of statistical significance and aid the interpretation of\nfragility measures. The usage of this package is illustrated in\nLin et al. (2023 <doi:10.1016/j.ajog.2022.08.053>) and detailed\nin Lin and Chu (2022 <doi:10.1371/journal.pone.0268754>).",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-15 06:05:44 UTC",
    "User": "root"
  },
  "Author": "Lifeng Lin [aut, cre]\n(<https://orcid.org/0000-0002-3562-9816>), Haitao Chu [aut]\n(<https://orcid.org/0000-0003-0932-598X>)",
  "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libxml2-dev\nlibx11-dev",
  "Repository": "https://linlf.r-universe.dev",
  "Date/Publication": "2025-01-23 19:00:05 UTC",
  "RemoteUrl": "https://github.com/cran/fragility",
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  "_created": "2026-05-15T06:05:44.000Z",
  "_published": "2026-06-02T20:03:22.139Z",
  "_distro": "noble",
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  "_updates": [],
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  "_contributors": [
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/fragility"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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  "_cranurl": false,
  "_releases": [
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      "date": "2020-04-07"
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      "version": "1.1",
      "date": "2020-08-12"
    },
    {
      "version": "1.2",
      "date": "2022-04-19"
    },
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      "date": "2022-06-16"
    },
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      "date": "2022-08-29"
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      "date": "2024-08-18"
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      "date": "2024-11-21"
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    "frag.ma.alpha",
    "frag.mas",
    "frag.nma",
    "frag.nma.alpha",
    "frag.studies",
    "frag.study",
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    },
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      "rows": 50,
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  "_help": [
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      ]
    },
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      "title": "Assessing the Fragility of a Meta-Analysis With a Binary Outcome",
      "topics": [
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    },
    {
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      "title": "Assessing the Fragility of a Meta-Analysis at Different Significance Levels",
      "topics": [
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    },
    {
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      "title": "Assessing the Fragility of an Individual Study at Different Significance Levels",
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      "title": "Plot Method for \"frag.alpha\" Objects",
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