{
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  "Package": "forestly",
  "Title": "Interactive Forest Plot",
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  "Authors@R": "c(\nperson(\"Yilong\", \"Zhang\", role = c(\"aut\")),\nperson(\"Benjamin\", \"Wang\", role = c(\"aut\")),\nperson(\"Yujie\", \"Zhao\", email = \"yujie.zhao@merck.com\", role = c(\"aut\", \"cre\")),\nperson(\"Yihui\", \"Xie\", role = c(\"aut\")),\nperson(\"Hiroaki\", \"Fukuda\", role = c(\"aut\")),\nperson(\"Nan\", \"Xiao\", role = c(\"ctb\")),\nperson(\"Yulia\", \"Sidi\", role = c(\"ctb\")),\nperson(\"Xuan\", \"Deng\", role = c(\"ctb\")),\nperson(\"Jeetener\", \"Chauhan\", role = \"ctb\"),\nperson(\"Li\", \"Ma\", role = \"ctb\"),\nperson(\"Chen\", \"Wang\", role = \"ctb\"),\nperson(\"Madhusudhan\", \"Ginnaram\", role = \"ctb\"),\nperson(\"Merck & Co., Inc., Rahway, NJ, USA and its affiliates\", role = \"cph\")\n)",
  "Description": "Interactive forest plot for clinical trial safety analysis\nusing 'metalite', 'lt', and Analysis Data Model (ADaM)\ndatasets. Includes functionality for adverse event filtering,\nincidence-based group filtering, hover-over reveals, and search\nand sort operations. The workflow allows for metadata\nconstruction, data preparation, output formatting, and\ninteractive plot generation.",
  "License": "GPL (>= 3)",
  "URL": "https://merck.github.io/forestly/,\nhttps://github.com/Merck/forestly",
  "BugReports": "https://github.com/Merck/forestly/issues",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Remotes": [
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  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Roxygen": "list(markdown = TRUE)",
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  "Repository": "https://merck.r-universe.dev",
  "Date/Publication": "2026-10-16 17:07:21 UTC",
  "RemoteUrl": "https://github.com/merck/forestly",
  "RemoteRef": "HEAD",
  "RemoteSha": "32dd4b0d3e3525a0c15adc247b76ca689b6eea7c",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-16 17:41:54 UTC",
    "User": "root"
  },
  "Author": "Yilong Zhang [aut],\nBenjamin Wang [aut],\nYujie Zhao [aut, cre],\nYihui Xie [aut],\nHiroaki Fukuda [aut],\nNan Xiao [ctb],\nYulia Sidi [ctb],\nXuan Deng [ctb],\nJeetener Chauhan [ctb],\nLi Ma [ctb],\nChen Wang [ctb],\nMadhusudhan Ginnaram [ctb],\nMerck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]",
  "Maintainer": "Yujie Zhao <yujie.zhao@merck.com>",
  "_user": "merck",
  "_type": "src",
  "_file": "forestly_0.1.7.tar.gz",
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  "_expires": "2027-01-24T17:56:18.000Z",
  "_created": "2026-10-16T17:41:54.000Z",
  "_published": "2026-10-16T17:56:20.237Z",
  "_buildurl": "https://github.com/r-universe/merck/actions/runs/38941188025",
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    "message": "Use lt's list(names, values) form to drop setNames() calls (#180)\n\n* Use lt's list(names, values) form to drop setNames() calls\n\nlt (>= 0.4.50) lets lt_label()/lt_width() take column names and values as\na single list(names, values) of two parallel vectors, so names held in\nvariables no longer need setNames().\n\n- lt_label(): the AE-proportion and diff-figure headers, and the detail\n  listing's label map in ae_forestly().\n- lt_width(): the column-width map, which also replaces the trailing\n  per-column loops and do.call().\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\n\n* xfun v0.62 is on CRAN\n\nUpdated xfun version requirement and removed yihui/xfun from remotes.\n\n---------\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
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    "description": "This channel is only intended for U.S. and Canadian visitors."
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
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    "extra/manual.pdf",
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    "extra/readme.md"
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    "background_panel",
    "format_ae_forestly",
    "plot_dot",
    "plot_errorbar",
    "prepare_ae_forestly",
    "rtf_static_forestly",
    "table_panel",
    "theme_panel"
  ],
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      "title": "An adverse event dataset",
      "object": "forestly_adae",
      "class": [
        "data.frame"
      ],
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        "SITEID",
        "USUBJID",
        "TRTA",
        "TRTAN",
        "AGE",
        "AGEGR1",
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        "RACE",
        "RACEN",
        "SEX",
        "SAFFL",
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        "TRTEDT",
        "ASTDT",
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        "ASTDY",
        "AENDT",
        "AENDY",
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        "ADURU",
        "AETERM",
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        "AEDECOD",
        "AEPTCD",
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        "AEHLTCD",
        "AEHLGT",
        "AEHLGTCD",
        "AEBODSYS",
        "AESOC",
        "AESOCCD",
        "AESEV",
        "AESER",
        "AESCAN",
        "AESCONG",
        "AESDISAB",
        "AESDTH",
        "AESHOSP",
        "AESLIFE",
        "AESOD",
        "AEREL",
        "AEACN",
        "AEOUT",
        "AESEQ",
        "TRTEMFL",
        "AOCCFL",
        "AOCCSFL",
        "AOCCPFL",
        "AOCC02FL",
        "AOCC03FL",
        "AOCC04FL",
        "CQ01NAM",
        "AOCC01FL",
        "AREL",
        "ATOXGRN"
      ],
      "rows": 736,
      "table": true,
      "tojson": true
    },
    {
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      "object": "forestly_adae_3grp",
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      ],
      "fields": [
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      "tojson": true
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        "SITEID",
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        "SEX",
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        "ITTFL",
        "EFFFL",
        "COMP8FL",
        "COMP16FL",
        "COMP24FL",
        "DISCONFL",
        "DSRAEFL",
        "DTHFL",
        "BMIBL",
        "BMIBLGR1",
        "HEIGHTBL",
        "WEIGHTBL",
        "EDUCLVL",
        "DISONSDT",
        "DURDIS",
        "DURDSGR1",
        "VISIT1DT",
        "RFSTDTC",
        "RFENDTC",
        "VISNUMEN",
        "RFENDT",
        "DCDECOD",
        "DCREASCD",
        "MMSETOT",
        "TRTA"
      ],
      "rows": 170,
      "table": true,
      "tojson": true
    },
    {
      "name": "forestly_adsl_3grp",
      "title": "A subject level demographic dataset",
      "object": "forestly_adsl_3grp",
      "class": [
        "data.frame"
      ],
      "fields": [
        "STUDYID",
        "USUBJID",
        "SUBJID",
        "SITEID",
        "SITEGR1",
        "ARM",
        "TRT01P",
        "TRT01PN",
        "TRT01A",
        "TRT01AN",
        "TRTSDT",
        "TRTEDT",
        "TRTDUR",
        "AVGDD",
        "CUMDOSE",
        "AGE",
        "AGEGR1",
        "AGEGR1N",
        "AGEU",
        "RACE",
        "RACEN",
        "SEX",
        "ETHNIC",
        "SAFFL",
        "ITTFL",
        "EFFFL",
        "COMP8FL",
        "COMP16FL",
        "COMP24FL",
        "DISCONFL",
        "DSRAEFL",
        "DTHFL",
        "BMIBL",
        "BMIBLGR1",
        "HEIGHTBL",
        "WEIGHTBL",
        "EDUCLVL",
        "DISONSDT",
        "DURDIS",
        "DURDSGR1",
        "VISIT1DT",
        "RFSTDTC",
        "RFENDTC",
        "VISNUMEN",
        "RFENDT",
        "DCDECOD",
        "DCREASCD",
        "MMSETOT",
        "TRTA"
      ],
      "rows": 254,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ae_forestly",
      "title": "Display interactive forest plot",
      "topics": [
        "ae_forestly"
      ]
    },
    {
      "page": "background_panel",
      "title": "Add background for creating plot with customized color",
      "topics": [
        "background_panel"
      ]
    },
    {
      "page": "forestly_adae",
      "title": "An adverse event dataset",
      "topics": [
        "forestly_adae"
      ]
    },
    {
      "page": "forestly_adae_3grp",
      "title": "An adverse event dataset",
      "topics": [
        "forestly_adae_3grp"
      ]
    },
    {
      "page": "forestly_adsl",
      "title": "A subject level demographic dataset",
      "topics": [
        "forestly_adsl"
      ]
    },
    {
      "page": "forestly_adsl_3grp",
      "title": "A subject level demographic dataset",
      "topics": [
        "forestly_adsl_3grp"
      ]
    },
    {
      "page": "format_ae_forestly",
      "title": "Format outdata for interactive forest plot",
      "topics": [
        "format_ae_forestly"
      ]
    },
    {
      "page": "plot_dot",
      "title": "Dot plot",
      "topics": [
        "plot_dot"
      ]
    },
    {
      "page": "plot_errorbar",
      "title": "Plot to display risk difference",
      "topics": [
        "plot_errorbar"
      ]
    },
    {
      "page": "prepare_ae_forestly",
      "title": "Prepare datasets for interactive forest plot",
      "topics": [
        "prepare_ae_forestly"
      ]
    },
    {
      "page": "rtf_static_forestly",
      "title": "Output static forest plot",
      "topics": [
        "rtf_static_forestly"
      ]
    },
    {
      "page": "table_panel",
      "title": "Create table panel ggplot2 object for rainfall or forest plot",
      "topics": [
        "table_panel"
      ]
    },
    {
      "page": "theme_panel",
      "title": "Theme function for plot with multiple panels",
      "topics": [
        "theme_panel"
      ]
    }
  ],
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  "_readme": "https://github.com/merck/forestly/raw/HEAD/README.md",
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