{
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  "Package": "tfrmt",
  "Title": "Applies Display Metadata to Analysis Results Datasets",
  "Version": "0.3.0.9000",
  "Authors@R": "c(\nperson(\"Becca\", \"Krouse\", , \"becca.z.krouse@gsk.com\", role = c(\"aut\", \"cre\")),\nperson(\"Christina\", \"Fillmore\", , \"christina.e.fillmore@gsk.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-0595-2302\")),\nperson(\"Ellis\", \"Hughes\", , \"ellis.h.hughes@gsk.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-0637-4436\")),\nperson(\"Karima\", \"Ahmad\", , \"karima.j.ahmad@gsk.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-8784-1712\")),\nperson(\"Shannon\", \"Haughton\", , \"shannon.l.haughton@gsk.com\", role = \"aut\"),\nperson(\"Dragoș\", \"Moldovan-Grünfeld\", , \"dragos.v.moldovan-grunfeld@gsk.com\", role = \"aut\"),\nperson(\"Alanah\", \"Jonas\", , \"alanah.x.jonas@gsk.com\", role = \"aut\"),\nperson(\"GlaxoSmithKline Research & Development Limited\", role = c(\"cph\", \"fnd\")),\nperson(\"Atorus Research LLC\", role = c(\"cph\", \"fnd\"))\n)",
  "Description": "Creates a framework to store and apply display metadata to\nAnalysis Results Datasets (ARDs). The use of 'tfrmt' allows\nusers to define table format and styling without the data, and\nlater apply the format to the data.",
  "License": "Apache License (>= 2)",
  "URL": "https://GSK-Biostatistics.github.io/tfrmt/,\nhttps://github.com/GSK-Biostatistics/tfrmt",
  "BugReports": "https://github.com/GSK-Biostatistics/tfrmt/issues",
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  "Repository": "https://ddsjoberg.r-universe.dev",
  "Date/Publication": "2026-07-02 08:14:46 UTC",
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    "User": "root"
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  "Author": "Becca Krouse [aut, cre],\nChristina Fillmore [aut] (ORCID:\n<https://orcid.org/0000-0003-0595-2302>),\nEllis Hughes [aut] (ORCID: <https://orcid.org/0000-0003-0637-4436>),\nKarima Ahmad [aut] (ORCID: <https://orcid.org/0000-0002-8784-1712>),\nShannon Haughton [aut],\nDragoș Moldovan-Grünfeld [aut],\nAlanah Jonas [aut],\nGlaxoSmithKline Research & Development Limited [cph, fnd],\nAtorus Research LLC [cph, fnd]",
  "Maintainer": "Becca Krouse <becca.z.krouse@gsk.com>",
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  "_created": "2026-07-02T10:02:48.000Z",
  "_published": "2026-07-03T10:43:13.895Z",
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    "apply_frmt",
    "as_json",
    "big_n_structure",
    "body_plan",
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    "col_plan",
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    "display_row_frmts",
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    "element_row_grp_loc",
    "extract_data",
    "footnote_plan",
    "footnote_structure",
    "frmt",
    "frmt_combine",
    "frmt_structure",
    "frmt_when",
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    "is_frmt_combine",
    "is_frmt_structure",
    "is_frmt_when",
    "is_row_grp_structure",
    "json_to_tfrmt",
    "layer_tfrmt",
    "make_mock_data",
    "page_plan",
    "page_structure",
    "param_set",
    "prep_big_n",
    "prep_combine_vars",
    "prep_hierarchical_fill",
    "prep_label",
    "print_mock_gt",
    "print_to_ggplot",
    "print_to_gt",
    "reset_component",
    "row_grp_plan",
    "row_grp_structure",
    "shuffle_card",
    "span_structure",
    "tfrmt",
    "tfrmt_n_pct",
    "tfrmt_sigdig",
    "tfrmt_to_json",
    "update_group"
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      "object": "data_ae",
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        "tbl_df",
        "tbl",
        "data.frame"
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      "fields": [
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        "col1",
        "param",
        "value",
        "ord1",
        "ord2"
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      "table": true,
      "tojson": true
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      "object": "data_efficacy",
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        "tbl",
        "data.frame"
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        "column",
        "param",
        "value",
        "ord1",
        "ord2"
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      "table": true,
      "tojson": true
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      "object": "data_labs",
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        "grouped_df",
        "tbl_df",
        "tbl",
        "data.frame"
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        "rowlbl",
        "col1",
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        "param",
        "value",
        "ord1",
        "ord2",
        "ord3"
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      "table": true,
      "tojson": true
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      "page": "apply_frmt",
      "title": "Apply formatting",
      "topics": [
        "apply_frmt",
        "apply_frmt.frmt",
        "apply_frmt.frmt_combine",
        "apply_frmt.frmt_when"
      ]
    },
    {
      "page": "big_n_structure",
      "title": "Big N Structure",
      "topics": [
        "big_n_structure"
      ]
    },
    {
      "page": "body_plan",
      "title": "Table Body Plan",
      "topics": [
        "body_plan"
      ]
    },
    {
      "page": "col_plan",
      "title": "Define the Column Plan & Span Structures",
      "topics": [
        "col_plan",
        "span_structure"
      ]
    },
    {
      "page": "col_style_plan",
      "title": "Column Style Plan",
      "topics": [
        "col_style_plan"
      ]
    },
    {
      "page": "theme_element",
      "title": "Column Style Structure",
      "topics": [
        "col_style_structure"
      ]
    },
    {
      "page": "data_ae",
      "title": "Adverse Events Analysis Results Data",
      "topics": [
        "data_ae"
      ]
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      "title": "Demography Analysis Results Data",
      "topics": [
        "data_demog"
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      "title": "Efficacy Analysis Results Data",
      "topics": [
        "data_efficacy"
      ]
    },
    {
      "page": "data_labs",
      "title": "Labs Analysis Results Data",
      "topics": [
        "data_labs"
      ]
    },
    {
      "page": "display_row_frmts",
      "title": "Display formatting applied to each row",
      "topics": [
        "display_row_frmts"
      ]
    },
    {
      "page": "display_val_frmts",
      "title": "Display formatted values",
      "topics": [
        "display_val_frmts"
      ]
    },
    {
      "page": "element_block",
      "title": "Element block",
      "topics": [
        "element_block"
      ]
    },
    {
      "page": "element_row_grp_loc",
      "title": "Element Row Group Location",
      "topics": [
        "element_row_grp_loc"
      ]
    },
    {
      "page": "extract_data",
      "title": "Extract underlying data from tfrmt output",
      "topics": [
        "extract_data"
      ]
    },
    {
      "page": "footnote_plan",
      "title": "Footnote Plan",
      "topics": [
        "footnote_plan"
      ]
    },
    {
      "page": "footnote_structure",
      "title": "Footnote Structure",
      "topics": [
        "footnote_structure"
      ]
    },
    {
      "page": "frmt",
      "title": "Table Value Formatting",
      "topics": [
        "frmt",
        "frmt_combine",
        "frmt_when"
      ]
    },
    {
      "page": "frmt_structure",
      "title": "Format Structure Object",
      "topics": [
        "frmt_structure"
      ]
    },
    {
      "page": "frmt_utils",
      "title": "Check if input is a frmt",
      "topics": [
        "is_frmt",
        "is_frmt_combine",
        "is_frmt_structure",
        "is_frmt_when",
        "is_row_grp_structure"
      ]
    },
    {
      "page": "json_to_tfrmt",
      "title": "json to tfrmt",
      "topics": [
        "json_to_tfrmt"
      ]
    },
    {
      "page": "layer_tfrmt",
      "title": "Layer tfrmt objects together",
      "topics": [
        "layer_tfrmt"
      ]
    },
    {
      "page": "make_mock_data",
      "title": "Make mock data for display shells",
      "topics": [
        "make_mock_data"
      ]
    },
    {
      "page": "page_plan",
      "title": "Page Plan",
      "topics": [
        "page_plan"
      ]
    },
    {
      "page": "page_structure",
      "title": "Page structure",
      "topics": [
        "page_structure"
      ]
    },
    {
      "page": "param_set",
      "title": "Set custom parameter-level significant digits rounding",
      "topics": [
        "param_set"
      ]
    },
    {
      "page": "prep_big_n",
      "title": "Prepare 'bigN' stat variables",
      "topics": [
        "prep_big_n"
      ]
    },
    {
      "page": "prep_combine_vars",
      "title": "Combine variables",
      "topics": [
        "prep_combine_vars"
      ]
    },
    {
      "page": "prep_hierarchical_fill",
      "title": "Fill missing values in hierarchical variables",
      "topics": [
        "prep_hierarchical_fill"
      ]
    },
    {
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