{
  "_id": "6a102015acfb0bcc41c8b6c9",
  "Package": "ggforestplot",
  "Type": "Package",
  "Title": "Forestplots of Measures of Effects and Their Confidence\nIntervals",
  "Version": "0.1.0",
  "Authors@R": "c(\nperson(\n\"Ilari\", \"Scheinin\", email = \"ilari.scheinin@nightingalehealth.com\",\nrole = c(\"aut\"), comment = c(ORCID = \"0000-0002-4696-9066\")\n),\nperson(\n\"Maria\", \"Kalimeri\", email = \"maria.kalimeri@nightingalehealth.com\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-6569-7553\")\n),\nperson(\n\"Vilma\", \"Jagerroos\", email = \"vilma.jagerroos@nightingalehealth.com\",\nrole = c(\"aut\")\n),\nperson(\n\"Juuso\", \"Parkkinen\", email = \"juuso.parkkinen@nightingalehealth.com\",\nrole = c(\"aut\"), comment = c(ORCID = \"0000-0002-7818-5901\")\n),\nperson(\n\"Emmi\", \"Tikkanen\", email = \"emmi.tikkanen@nightingalehealth.com\",\nrole = c(\"aut\"), comment = c(ORCID = \"0000-0003-1634-4134\")\n),\nperson(\n\"Peter\", \"Würtz\", email = \"peter.wurtz@nightingalehealth.com\",\nrole = c(\"aut\"), comment = c(ORCID = \"0000-0002-5832-0221\")\n),\nperson(\n\"Antti\", \"Kangas\", email = \"antti.kangas@nightingalehealth.com\",\nrole = c(\"aut\"), comment = c(ORCID = \"0000-0001-7492-1732\")\n),\nperson(\n\"Nightingale Health Ltd.\", email = \"contact@nightingalehealth.com\",\nrole = c(\"cph\", \"fnd\")))",
  "Description": "A collection of functions, based on ggplot2, to plot\nforestplots of measures of effects, e.g. linear associations,\nwith their confidence intervals.",
  "License": "MIT + file LICENSE",
  "BugReports": "https://github.com/nightingalehealth/ggforestplot/issues",
  "URL": "https://nightingalehealth.github.io/ggforestplot/index.html,\nhttps://github.com/nightingalehealth/ggforestplot",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.0.2",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev make\nlibicu-dev libuv1-dev",
  "Repository": "https://staffanbetner.r-universe.dev",
  "Date/Publication": "2020-04-08 12:00:58 UTC",
  "RemoteUrl": "https://github.com/NightingaleHealth/ggforestplot",
  "RemoteRef": "HEAD",
  "RemoteSha": "547617e63fa481a5f28ffc56c07d46be4af688b2",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-14 06:29:58 UTC",
    "User": "root"
  },
  "Author": "Ilari Scheinin [aut] (ORCID: <https://orcid.org/0000-0002-4696-9066>),\nMaria Kalimeri [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-6569-7553>),\nVilma Jagerroos [aut],\nJuuso Parkkinen [aut] (ORCID: <https://orcid.org/0000-0002-7818-5901>),\nEmmi Tikkanen [aut] (ORCID: <https://orcid.org/0000-0003-1634-4134>),\nPeter Würtz [aut] (ORCID: <https://orcid.org/0000-0002-5832-0221>),\nAntti Kangas [aut] (ORCID: <https://orcid.org/0000-0001-7492-1732>),\nNightingale Health Ltd. [cph, fnd]",
  "Maintainer": "Maria Kalimeri <maria.kalimeri@nightingalehealth.com>",
  "MD5sum": "d2a2c045a5c04abdd1fbce441bea4df6",
  "_user": "staffanbetner",
  "_type": "src",
  "_file": "ggforestplot_0.1.0.tar.gz",
  "_fileid": "ffc0725c1420c6e1a3231987ee1b8c4441d86d916e085059423c12d148a3ff3f",
  "_filesize": 9485417,
  "_sha256": "ffc0725c1420c6e1a3231987ee1b8c4441d86d916e085059423c12d148a3ff3f",
  "_created": "2026-05-14T06:29:58.000Z",
  "_published": "2026-05-22T09:21:25.814Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77351633685,
      "time": 216,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "ERROR",
      "artifact": "6988626367"
    },
    {
      "job": 77351634101,
      "time": 217,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "6988627657"
    },
    {
      "job": 77351633861,
      "time": 172,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "ERROR",
      "artifact": "6988616902"
    },
    {
      "job": 77351633561,
      "time": 124,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "6988606964"
    },
    {
      "job": 77351633342,
      "time": 302,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6988579336"
    },
    {
      "job": 77351633078,
      "time": 131,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7157135460"
    },
    {
      "job": 77351633294,
      "time": 195,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "ERROR",
      "artifact": "6988622244"
    },
    {
      "job": 77351633815,
      "time": 186,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "ERROR",
      "artifact": "6988620027"
    },
    {
      "job": 77351633662,
      "time": 183,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "ERROR",
      "artifact": "6988620372"
    }
  ],
  "_buildurl": "https://github.com/r-universe/staffanbetner/actions/runs/25845442120",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/NightingaleHealth/ggforestplot",
  "_commit": {
    "id": "547617e63fa481a5f28ffc56c07d46be4af688b2",
    "author": "Vilma Jägerroos <vilma.jagerroos@nightingalehealth.com>",
    "committer": "Vilma Jägerroos <vilma.jagerroos@nightingalehealth.com>",
    "message": "Merge branch 'VJ#all-biomarkers-pdf-new-biomarkers' into 'master'\n\nVj#all biomarkers pdf new biomarkers\n\n- `plot_all_NG_biomarkers()` accepts now layout as an input parameter. Layout can be one predefined layouts in `df_grouping_all_NG_biomarkers` or user provided tibble. Tests added to test handling of incorrect layout. Columns are created with `ggforce::facet_col()` instead of `patchwork::wrap_plots()` \n- `forestplot()` takes x-tick breaks as an input parameter\n- `discovery_regression()` accepts factor predictors. In this case additional column with term is returned. Tests added for this\n- `df_NG_biomarker_metadata` updated to include new biomarkers. Unit column is set deprecated since different quantification versions can have different units\n- `df_grouping_all_NG_biomarkers` was updated to contain layouts for 2016 and 2020 platforms\n- `df_linear_associations` and `df_logodds_associations` where updated with new names of some biomarkers\n- `df_demo_metabolomic_data`, `data-raw/metabolomics_data.zip` and the same data in `vignettes/data` was updated to have new biomarkers\n- Vignettes updated to reflect number of biomarkers in current platform, warnings related to `tidyr::nest()` and `dplyr::funs()` corrected were corrected and `ggforce::facet_col()` was used in examples instead of `patchwork::wrap_plots()`\n- `patchwork` is now installed from CRAN \n\nSee merge request academia-support-libraries/ggforestplot!7",
    "time": 1586347258
  },
  "_maintainer": {
    "name": "Maria Kalimeri",
    "email": "maria.kalimeri@nightingalehealth.com",
    "orcid": "0000-0002-6569-7553"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "broom",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "version": ">= 0.8.0",
      "role": "Imports"
    },
    {
      "package": "generics",
      "role": "Imports"
    },
    {
      "package": "ggforce",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "ggplotify",
      "role": "Imports"
    },
    {
      "package": "ggstance",
      "role": "Imports"
    },
    {
      "package": "grid",
      "role": "Imports"
    },
    {
      "package": "gridExtra",
      "role": "Imports"
    },
    {
      "package": "lazyeval",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "patchwork",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "scales",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "survival",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "tidyselect",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "readr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "tidyverse",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "vdiffr",
      "role": "Suggests"
    }
  ],
  "_owner": "nightingalehealth",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 65,
  "_userbio": {
    "uuid": 8129424,
    "type": "user",
    "name": "Staffan Betnér",
    "description": "Statistician"
  },
  "_downloads": {
    "count": 0,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ggforestplot"
  },
  "_devurl": "https://github.com/nightingalehealth/ggforestplot",
  "_searchresults": 407,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ggforestplot.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_cranurl": false,
  "_exports": [
    "discovery_regression",
    "display_ng_colours",
    "display_ng_palettes",
    "forestplot",
    "geom_effect",
    "geom_stripes",
    "ng_colour",
    "ng_palette_c",
    "ng_palette_d",
    "plot_all_NG_biomarkers",
    "scale_colour_ng_c",
    "scale_colour_ng_d",
    "scale_fill_ng_c",
    "scale_fill_ng_d",
    "theme_forest"
  ],
  "_datasets": [
    {
      "name": "df_demo_metabolic_data",
      "title": "Simulated Metabolic Data",
      "object": "df_demo_metabolic_data",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "id",
        "gender",
        "baseline_age",
        "BMI",
        "incident_diabetes",
        "age_at_diabetes",
        "Total_C",
        "non_HDL_C",
        "Remnant_C",
        "VLDL_C",
        "Clinical_LDL_C",
        "LDL_C",
        "HDL_C",
        "Total_TG",
        "VLDL_TG",
        "LDL_TG",
        "HDL_TG",
        "Total_PL",
        "VLDL_PL",
        "LDL_PL",
        "HDL_PL",
        "Total_CE",
        "VLDL_CE",
        "LDL_CE",
        "HDL_CE",
        "Total_FC",
        "VLDL_FC",
        "LDL_FC",
        "HDL_FC",
        "Total_L",
        "VLDL_L",
        "LDL_L",
        "HDL_L",
        "Total_P",
        "VLDL_P",
        "LDL_P",
        "HDL_P",
        "VLDL_size",
        "LDL_size",
        "HDL_size",
        "Phosphoglyc",
        "TG_by_PG",
        "Cholines",
        "Phosphatidylc",
        "Sphingomyelins",
        "ApoB",
        "ApoA1",
        "ApoB_by_ApoA1",
        "Total_FA",
        "Unsaturation",
        "Omega_3",
        "Omega_6",
        "PUFA",
        "MUFA",
        "SFA",
        "LA",
        "DHA",
        "Omega_3_pct",
        "Omega_6_pct",
        "PUFA_pct",
        "MUFA_pct",
        "SFA_pct",
        "LA_pct",
        "DHA_pct",
        "PUFA_by_MUFA",
        "Omega_6_by_Omega_3",
        "Ala",
        "Gln",
        "Gly",
        "His",
        "Total_BCAA",
        "Ile",
        "Leu",
        "Val",
        "Phe",
        "Tyr",
        "Glucose",
        "Lactate",
        "Pyruvate",
        "Citrate",
        "Glycerol",
        "bOHbutyrate",
        "Acetate",
        "Acetoacetate",
        "Acetone",
        "Creatinine",
        "Albumin",
        "GlycA",
        "XXL_VLDL_P",
        "XXL_VLDL_L",
        "XXL_VLDL_PL",
        "XXL_VLDL_C",
        "XXL_VLDL_CE",
        "XXL_VLDL_FC",
        "XXL_VLDL_TG",
        "XL_VLDL_P",
        "XL_VLDL_L",
        "XL_VLDL_PL",
        "XL_VLDL_C",
        "XL_VLDL_CE",
        "XL_VLDL_FC",
        "XL_VLDL_TG",
        "L_VLDL_P",
        "L_VLDL_L",
        "L_VLDL_PL",
        "L_VLDL_C",
        "L_VLDL_CE",
        "L_VLDL_FC",
        "L_VLDL_TG",
        "M_VLDL_P",
        "M_VLDL_L",
        "M_VLDL_PL",
        "M_VLDL_C",
        "M_VLDL_CE",
        "M_VLDL_FC",
        "M_VLDL_TG",
        "S_VLDL_P",
        "S_VLDL_L",
        "S_VLDL_PL",
        "S_VLDL_C",
        "S_VLDL_CE",
        "S_VLDL_FC",
        "S_VLDL_TG",
        "XS_VLDL_P",
        "XS_VLDL_L",
        "XS_VLDL_PL",
        "XS_VLDL_C",
        "XS_VLDL_CE",
        "XS_VLDL_FC",
        "XS_VLDL_TG",
        "IDL_P",
        "IDL_L",
        "IDL_PL",
        "IDL_C",
        "IDL_CE",
        "IDL_FC",
        "IDL_TG",
        "L_LDL_P",
        "L_LDL_L",
        "L_LDL_PL",
        "L_LDL_C",
        "L_LDL_CE",
        "L_LDL_FC",
        "L_LDL_TG",
        "M_LDL_P",
        "M_LDL_L",
        "M_LDL_PL",
        "M_LDL_C",
        "M_LDL_CE",
        "M_LDL_FC",
        "M_LDL_TG",
        "S_LDL_P",
        "S_LDL_L",
        "S_LDL_PL",
        "S_LDL_C",
        "S_LDL_CE",
        "S_LDL_FC",
        "S_LDL_TG",
        "XL_HDL_P",
        "XL_HDL_L",
        "XL_HDL_PL",
        "XL_HDL_C",
        "XL_HDL_CE",
        "XL_HDL_FC",
        "XL_HDL_TG",
        "L_HDL_P",
        "L_HDL_L",
        "L_HDL_PL",
        "L_HDL_C",
        "L_HDL_CE",
        "L_HDL_FC",
        "L_HDL_TG",
        "M_HDL_P",
        "M_HDL_L",
        "M_HDL_PL",
        "M_HDL_C",
        "M_HDL_CE",
        "M_HDL_FC",
        "M_HDL_TG",
        "S_HDL_P",
        "S_HDL_L",
        "S_HDL_PL",
        "S_HDL_C",
        "S_HDL_CE",
        "S_HDL_FC",
        "S_HDL_TG",
        "XXL_VLDL_PL_pct",
        "XXL_VLDL_C_pct",
        "XXL_VLDL_CE_pct",
        "XXL_VLDL_FC_pct",
        "XXL_VLDL_TG_pct",
        "XL_VLDL_PL_pct",
        "XL_VLDL_C_pct",
        "XL_VLDL_CE_pct",
        "XL_VLDL_FC_pct",
        "XL_VLDL_TG_pct",
        "L_VLDL_PL_pct",
        "L_VLDL_C_pct",
        "L_VLDL_CE_pct",
        "L_VLDL_FC_pct",
        "L_VLDL_TG_pct",
        "M_VLDL_PL_pct",
        "M_VLDL_C_pct",
        "M_VLDL_CE_pct",
        "M_VLDL_FC_pct",
        "M_VLDL_TG_pct",
        "S_VLDL_PL_pct",
        "S_VLDL_C_pct",
        "S_VLDL_CE_pct",
        "S_VLDL_FC_pct",
        "S_VLDL_TG_pct",
        "XS_VLDL_PL_pct",
        "XS_VLDL_C_pct",
        "XS_VLDL_CE_pct",
        "XS_VLDL_FC_pct",
        "XS_VLDL_TG_pct",
        "IDL_PL_pct",
        "IDL_C_pct",
        "IDL_CE_pct",
        "IDL_FC_pct",
        "IDL_TG_pct",
        "L_LDL_PL_pct",
        "L_LDL_C_pct",
        "L_LDL_CE_pct",
        "L_LDL_FC_pct",
        "L_LDL_TG_pct",
        "M_LDL_PL_pct",
        "M_LDL_C_pct",
        "M_LDL_CE_pct",
        "M_LDL_FC_pct",
        "M_LDL_TG_pct",
        "S_LDL_PL_pct",
        "S_LDL_C_pct",
        "S_LDL_CE_pct",
        "S_LDL_FC_pct",
        "S_LDL_TG_pct",
        "XL_HDL_PL_pct",
        "XL_HDL_C_pct",
        "XL_HDL_CE_pct",
        "XL_HDL_FC_pct",
        "XL_HDL_TG_pct",
        "L_HDL_PL_pct",
        "L_HDL_C_pct",
        "L_HDL_CE_pct",
        "L_HDL_FC_pct",
        "L_HDL_TG_pct",
        "M_HDL_PL_pct",
        "M_HDL_C_pct",
        "M_HDL_CE_pct",
        "M_HDL_FC_pct",
        "M_HDL_TG_pct",
        "S_HDL_PL_pct",
        "S_HDL_C_pct",
        "S_HDL_CE_pct",
        "S_HDL_FC_pct",
        "S_HDL_TG_pct"
      ],
      "rows": 1887,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_grouping_all_NG_biomarkers",
      "title": "Example of Biomarker Grouping Data Frames for Nightingale Biomarkers",
      "object": "df_grouping_all_ng_biomarkers",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "version",
        "layout"
      ],
      "rows": 2,
      "table": false,
      "tojson": true
    },
    {
      "name": "df_linear_associations",
      "title": "Linear Associations of Blood Biomarkers to BMI, HOMA-IR and Fasting Glucose",
      "object": "df_linear_associations",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "name",
        "trait",
        "beta",
        "se",
        "pvalue"
      ],
      "rows": 681,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_logodds_associations",
      "title": "Odds Ratios of Blood Biomarkers with Incident Type 2 Diabetes",
      "object": "df_logodds_associations",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "name",
        "study",
        "beta",
        "se",
        "pvalue",
        "n"
      ],
      "rows": 1135,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_NG_biomarker_metadata",
      "title": "Information and Grouping for Nightingale's Blood Biomarkers",
      "object": "df_NG_biomarker_metadata",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "abbreviation",
        "machine_readable_name",
        "name",
        "description",
        "alternative_names",
        "group",
        "subgroup",
        "unit"
      ],
      "rows": 252,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "df_demo_metabolic_data",
      "title": "Simulated Metabolic Data",
      "topics": [
        "df_demo_metabolic_data"
      ]
    },
    {
      "page": "df_grouping_all_NG_biomarkers",
      "title": "Example of Biomarker Grouping Data Frames for Nightingale Biomarkers",
      "topics": [
        "df_grouping_all_NG_biomarkers"
      ]
    },
    {
      "page": "df_linear_associations",
      "title": "Linear Associations of Blood Biomarkers to BMI, HOMA-IR and Fasting Glucose",
      "topics": [
        "df_linear_associations"
      ]
    },
    {
      "page": "df_logodds_associations",
      "title": "Odds Ratios of Blood Biomarkers with Incident Type 2 Diabetes",
      "topics": [
        "df_logodds_associations"
      ]
    },
    {
      "page": "df_NG_biomarker_metadata",
      "title": "Information and Grouping for Nightingale's Blood Biomarkers",
      "topics": [
        "df_NG_biomarker_metadata"
      ]
    },
    {
      "page": "discovery_regression",
      "title": "Exploratory Analysis",
      "topics": [
        "discovery_regression"
      ]
    },
    {
      "page": "forestplot",
      "title": "Draw a Forestplot of Measures of Effects",
      "topics": [
        "forestplot"
      ]
    },
    {
      "page": "geom_effect",
      "title": "Horizontal Study Effects with Confidence Intervals",
      "topics": [
        "geom_effect"
      ]
    },
    {
      "page": "geom_stripes",
      "title": "Alternating Background Colour",
      "topics": [
        "geom_stripes"
      ]
    },
    {
      "page": "ng_colour",
      "title": "Nightingale's colours",
      "topics": [
        "display_ng_colours",
        "ng_colour"
      ]
    },
    {
      "page": "ng_palette",
      "title": "Nightingale's colour palettes",
      "topics": [
        "display_ng_palettes",
        "ng_palette_c",
        "ng_palette_d"
      ]
    },
    {
      "page": "plot_all_NG_biomarkers",
      "title": "Print a Forestplot for All Nightingale Biomarkers",
      "topics": [
        "plot_all_NG_biomarkers"
      ]
    },
    {
      "page": "ng_scale",
      "title": "Colour scale constructor for Nightingale colours",
      "topics": [
        "scale_colour_ng_c",
        "scale_colour_ng_d",
        "scale_fill_ng_c",
        "scale_fill_ng_d"
      ]
    },
    {
      "page": "theme_forest",
      "title": "Forestplot Theme",
      "topics": [
        "theme_forest"
      ]
    }
  ],
  "_pkglogo": "https://github.com/NightingaleHealth/ggforestplot/raw/HEAD/man/figures/logo.svg",
  "_readme": "https://github.com/NightingaleHealth/ggforestplot/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "base64enc",
    "broom",
    "cli",
    "cpp11",
    "digest",
    "dplyr",
    "farver",
    "fs",
    "generics",
    "ggforce",
    "ggplot2",
    "ggplotify",
    "ggstance",
    "glue",
    "gridExtra",
    "gridGraphics",
    "gtable",
    "isoband",
    "jsonlite",
    "labeling",
    "lattice",
    "lazyeval",
    "lifecycle",
    "magrittr",
    "MASS",
    "Matrix",
    "patchwork",
    "pillar",
    "pkgconfig",
    "plyr",
    "polyclip",
    "purrr",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "rlang",
    "S7",
    "scales",
    "stringi",
    "stringr",
    "survival",
    "systemfonts",
    "tibble",
    "tidyr",
    "tidyselect",
    "tweenr",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "yulab.utils"
  ],
  "_vignettes": [
    {
      "source": "nmr-data-analysis-tutorial.Rmd",
      "filename": "nmr-data-analysis-tutorial.html",
      "title": "NMR Data Analysis Tutorial",
      "author": "Nightingale Health Ltd.",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Prerequisites",
        "Overview of Nightingale blood biomarker data",
        "Rename alternative biomarker names",
        "Association analysis",
        "Join the blood biomarker data with other variables",
        "Linear regression",
        "Forest plot",
        "Statistical significance for multiple testing",
        "Cox proportional hazards regression",
        "A forestplot for all Nightingale blood biomarkers",
        "Final remarks",
        "References"
      ],
      "created": "2019-03-02 14:08:34",
      "modified": "2020-04-08 12:00:58",
      "commits": 4
    },
    {
      "source": "ggforestplot.Rmd",
      "filename": "ggforestplot.html",
      "title": "Using ggforestplot",
      "author": "Nightingale Health Ltd.",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Installation",
        "Usage",
        "Adding information on statistical significance",
        "Comparing several traits",
        "Grouping the biomarkers",
        "Plotting odds / hazard ratios"
      ],
      "created": "2019-03-02 14:08:34",
      "modified": "2020-04-08 12:00:58",
      "commits": 4
    }
  ],
  "_score": 6.422507765868076,
  "_indexed": false,
  "_nocasepkg": "ggforestplot",
  "_universes": [
    "staffanbetner"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-05-14T06:32:48.000Z",
      "distro": "noble",
      "commit": "547617e63fa481a5f28ffc56c07d46be4af688b2",
      "fileid": "539230903c552d87a3a33517e6d7dd8b76d5ff034afaaf099c3f5f56b1e63d6e",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/staffanbetner/actions/runs/25845442120"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-05-14T06:32:57.000Z",
      "distro": "noble",
      "commit": "547617e63fa481a5f28ffc56c07d46be4af688b2",
      "fileid": "b444beb2bc564d299240e89e288a20402cc2e18b454a2d3ebdc169a96f6fb01f",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/staffanbetner/actions/runs/25845442120"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-05-14T06:32:24.000Z",
      "commit": "547617e63fa481a5f28ffc56c07d46be4af688b2",
      "fileid": "5996277ec7643aca6d7cdafe619601e6542679c8a37d3077a9d6680571fd938d",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/staffanbetner/actions/runs/25845442120"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-05-14T06:31:46.000Z",
      "commit": "547617e63fa481a5f28ffc56c07d46be4af688b2",
      "fileid": "89b381fb29dc0931aaf267f79c834ddf57bae613929219bf4d61398d6d65f54e",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/staffanbetner/actions/runs/25845442120"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-05-14T06:32:12.000Z",
      "commit": "547617e63fa481a5f28ffc56c07d46be4af688b2",
      "fileid": "142c1dec7ff599d2dbac060914e4f9ddcace7c8c6b1014c06e6f4a06ac1f6864",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/staffanbetner/actions/runs/25845442120"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-05-14T06:32:04.000Z",
      "commit": "547617e63fa481a5f28ffc56c07d46be4af688b2",
      "fileid": "358b348ee675d8b471d1548d9ad7893bb8521598fdf1177953dfa3d32685f2a7",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/staffanbetner/actions/runs/25845442120"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-05-14T06:32:25.000Z",
      "commit": "547617e63fa481a5f28ffc56c07d46be4af688b2",
      "fileid": "97fefd3ecd51778a415f21073373ba630eb8445a489c747ea4131a1a4ab52a73",
      "status": "failure",
      "check": "ERROR",
      "buildurl": "https://github.com/r-universe/staffanbetner/actions/runs/25845442120"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.0",
      "date": "2026-05-22T09:21:08.000Z",
      "commit": "547617e63fa481a5f28ffc56c07d46be4af688b2",
      "fileid": "3e6d81a917f3ceb0b0c0bfc101f2b4e7792afbef9d556d42d8db9a6e507e32a7",
      "status": "success",
      "buildurl": "https://github.com/r-universe/staffanbetner/actions/runs/25845442120"
    }
  ]
}