{
  "_id": "6a143bb8acfb0bcc41d42303",
  "Package": "metasens",
  "Title": "Statistical Methods for Sensitivity Analysis in Meta-Analysis",
  "Version": "1.5-3",
  "Date": "2025-05-02",
  "Authors@R": "c(person(\"Guido\", \"Schwarzer\",\nrole = c(\"cre\", \"aut\"),\nemail = \"guido.schwarzer@uniklinik-freiburg.de\",\ncomment = c(ORCID = \"0000-0001-6214-9087\")),\nperson(\"James R.\",\"Carpenter\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0003-3890-6206\")),\nperson(\"Gerta\",\"Rücker\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-2192-2560\")))",
  "Author": "Guido Schwarzer [cre, aut]\n(<https://orcid.org/0000-0001-6214-9087>), James R. Carpenter\n[aut] (<https://orcid.org/0000-0003-3890-6206>), Gerta Rücker\n[aut] (<https://orcid.org/0000-0002-2192-2560>)",
  "URL": "https://github.com/guido-s/metasens,\nhttps://link.springer.com/book/10.1007/978-3-319-21416-0",
  "Description": "The following methods are implemented to evaluate how\nsensitive the results of a meta-analysis are to potential bias\nin meta-analysis and to support Schwarzer et al. (2015)\n<DOI:10.1007/978-3-319-21416-0>, Chapter 5 'Small-Study Effects\nin Meta-Analysis': - Copas selection model described in Copas &\nShi (2001) <DOI:10.1177/096228020101000402>; - limit\nmeta-analysis by Rücker et al. (2011)\n<DOI:10.1093/biostatistics/kxq046>; - upper bound for outcome\nreporting bias by Copas & Jackson (2004)\n<DOI:10.1111/j.0006-341X.2004.00161.x>; - imputation methods\nfor missing binary data by Gamble & Hollis (2005)\n<DOI:10.1016/j.jclinepi.2004.09.013> and Higgins et al. (2008)\n<DOI:10.1177/1740774508091600>; - LFK index test and Doi plot\nby Furuya-Kanamori et al. (2018)\n<DOI:10.1097/XEB.0000000000000141>.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.2",
  "Config/pak/sysreqs": "cmake make libicu-dev libxml2-dev libx11-dev",
  "Repository": "https://guido-s.r-universe.dev",
  "Date/Publication": "2025-05-02 10:12:40 UTC",
  "RemoteUrl": "https://github.com/guido-s/metasens",
  "RemoteRef": "HEAD",
  "RemoteSha": "71e2760f62f39fcd3dc56480e1273d2fc3e39d3a",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-25 12:04:26 UTC",
    "User": "root"
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  "Maintainer": "Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>",
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    "author": "Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>",
    "committer": "Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>",
    "message": "Merge branch 'release' into develop\n",
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    "name": "Guido Schwarzer",
    "email": "guido.schwarzer@uniklinik-freiburg.de",
    "login": "guido-s",
    "description": "Research interests: meta-analysis, statistical programming - Author of Use-R! book \"Meta-Analysis with R\" (http://www.springer.com/gp/book/9783319214153)",
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  "_usedby": 0,
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  "_tags": [],
  "_topics": [
    "adjustment",
    "meta-analysis",
    "publication-bias",
    "rstudio"
  ],
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  "_contributors": [
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      "user": "guido-s",
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    "description": "Research interests: meta-analysis, statistical programming - Author of Use-R! book \"Meta-Analysis with R\" (http://www.springer.com/gp/book/9783319214153)"
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  "_realowner": "guido-s",
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      "date": "2014-06-24"
    },
    {
      "version": "0.2-0",
      "date": "2014-12-07"
    },
    {
      "version": "0.3-0",
      "date": "2016-02-17"
    },
    {
      "version": "0.3-1",
      "date": "2016-10-15"
    },
    {
      "version": "0.3-2",
      "date": "2017-12-06"
    },
    {
      "version": "0.4-0",
      "date": "2019-08-06"
    },
    {
      "version": "0.4-1",
      "date": "2020-07-02"
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    {
      "version": "0.5-0",
      "date": "2020-09-29"
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    {
      "version": "0.6-0",
      "date": "2021-01-16"
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    {
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      "date": "2022-07-12"
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      "date": "2023-02-28"
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    "doiplot",
    "forest.orbbound",
    "funnel.limitmeta",
    "lfkindex",
    "limitmeta",
    "metamiss",
    "orbbound",
    "plot.copas",
    "print.copas",
    "print.lfkindex",
    "print.orbbound",
    "print.summary.copas",
    "summary.copas",
    "summary.limitmeta"
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      "name": "Crowther2003",
      "title": "Aspirin after Myocardial Infarction",
      "object": "Crowther2003",
      "file": "Crowther2003.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "pvh.e",
        "n.e",
        "pvh.c",
        "n.c"
      ],
      "rows": 9,
      "table": true,
      "tojson": true
    },
    {
      "name": "Moore1998",
      "title": "NSAIDS in acute pain",
      "object": "Moore1998",
      "file": "Moore1998.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "study",
        "succ.e",
        "nobs.e",
        "succ.c",
        "nobs.c"
      ],
      "rows": 37,
      "table": true,
      "tojson": true
    }
  ],
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    {
      "page": "metasens-package",
      "title": "metasens: Brief overview of methods and general hints",
      "topics": [
        "metasens-package",
        "metasens"
      ]
    },
    {
      "page": "copas",
      "title": "Copas selection model analysis",
      "topics": [
        "copas"
      ]
    },
    {
      "page": "Crowther2003",
      "title": "Aspirin after Myocardial Infarction",
      "topics": [
        "Crowther2003"
      ]
    },
    {
      "page": "doiplot",
      "title": "Doi plot for Asymmetry",
      "topics": [
        "doiplot"
      ]
    },
    {
      "page": "forest.orbbound",
      "title": "Forest plot for 'orbbound' object (bound for outcome reporting bias)",
      "topics": [
        "forest.orbbound"
      ]
    },
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      "page": "funnel.limitmeta",
      "title": "Funnel plot for limit meta-analysis",
      "topics": [
        "funnel.limitmeta"
      ]
    },
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      "title": "LFK Index Test for Asymmetry",
      "topics": [
        "lfkindex",
        "print.lfkindex"
      ]
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      "title": "Limit meta-analysis",
      "topics": [
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      ]
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      "title": "Imputation methods for missing binary data",
      "topics": [
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      "topics": [
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    },
    {
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      "title": "Sensitivity Analysis for Outcome Reporting Bias (ORB)",
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      "title": "Display results of Copas selection modelling",
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      ]
    },
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      "title": "Print results of Copas selection model",
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