{
  "_id": "6a288eba732311cd8758aa2b",
  "Package": "vennDiagramLab",
  "Type": "Package",
  "Title": "Headless Venn Diagram Analysis and Rendering",
  "Version": "2.4.0",
  "Date": "2026-06-09",
  "Authors@R": "c(\nperson(\"Zoltán\", \"Dul\", email = \"zoltan.dul@gmail.com\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-9523-3450\")),\nperson(\"Márton\", \"Ölbei\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-4903-6237\")),\nperson(\"N. Shaun B.\", \"Thomas\", role = \"aut\"),\nperson(\"Azeddine\", \"Si Ammour\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-5504-4444\")),\nperson(\"Attila\", \"Csikász-Nagy\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-2919-5601\")))",
  "Description": "Headless companion to the 'Venn Diagram Lab' web tool\n(<https://www.venndiagramlab.org/>). Build, render, and\nstatistically analyze Venn / 'UpSet' diagrams from 'CSV' /\n'TSV' / 'GMT' / 'GMX' inputs. Provides the same 44 SVG models,\nintersection / 'Jaccard' / hypergeometric statistics, and PDF\nreport layout as the web tool, with byte-equivalent 'TSV'\nexports (parity-tested against the published Python package).\nIntegrates with 'ggplot2', 'tidygraph', and 'broom'.",
  "License": "MIT + file LICENSE",
  "Language": "en-US",
  "URL": "https://zoliqua.github.io/Venn-Diagram-Lab/r/,\nhttps://github.com/ZoliQua/Venn-Diagram-Lab,\nhttps://www.venndiagramlab.org/",
  "BugReports": "https://github.com/ZoliQua/Venn-Diagram-Lab/issues",
  "VignetteBuilder": "knitr",
  "biocViews": "Visualization, GeneSetEnrichment, Software",
  "Encoding": "UTF-8",
  "Config/testthat/edition": "3",
  "Config/roxygen2/version": "8.0.0",
  "RoxygenNote": "8.0.0",
  "Collate": "'classes.R' 'errors.R' 'analysis.R' 'broom-tidy.R' 'cluster.R'\n'enrichment-plot-helpers.R' 'excel-workbook.R' 'ggplot-layer.R'\n'io.R' 'proportional.R' 'region-accessors.R'\n'region-expression.R' 'render-enrichment-bar.R'\n'render-enrichment-lollipop.R' 'render-network.R'\n'render-pdf.R' 'render-share-distribution.R'\n'render-svg-items.R' 'render-svg.R' 'render-upset.R'\n'samples.R' 'share-distribution.R' 'statistics.R'\n'tsv-export.R' 'zip-report.R' 'zzz.R'",
  "Config/pak/sysreqs": "libfontconfig1-dev libfreetype6-dev libglpk-dev\nlibicu-dev librsvg2-dev libxml2-dev",
  "Repository": "https://zoliqua.r-universe.dev",
  "Date/Publication": "2026-06-09 21:43:07 UTC",
  "RemoteUrl": "https://github.com/zoliqua/venn-diagram-lab",
  "RemoteRef": "HEAD",
  "RemoteSha": "c13332716a23b5ebeda4d1a1785f551352dca349",
  "RemoteSubdir": "r",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-09 21:57:25 UTC",
    "User": "root"
  },
  "Author": "Zoltán Dul [aut, cre] (ORCID: <https://orcid.org/0000-0002-9523-3450>),\nMárton Ölbei [aut] (ORCID: <https://orcid.org/0000-0002-4903-6237>),\nN. Shaun B. Thomas [aut],\nAzeddine Si Ammour [aut] (ORCID:\n<https://orcid.org/0000-0002-5504-4444>),\nAttila Csikász-Nagy [aut] (ORCID:\n<https://orcid.org/0000-0002-2919-5601>)",
  "Maintainer": "Zoltán Dul <zoltan.dul@gmail.com>",
  "MD5sum": "f0aad426587e4ec95b980450b5fa1e18",
  "_user": "zoliqua",
  "_type": "src",
  "_file": "vennDiagramLab_2.4.0.tar.gz",
  "_fileid": "28eebb6f0f57b9e5a7e9acd94a218521a241f8a1c405be902e5b9a10d09b6d47",
  "_filesize": 4524736,
  "_sha256": "28eebb6f0f57b9e5a7e9acd94a218521a241f8a1c405be902e5b9a10d09b6d47",
  "_created": "2026-06-09T21:57:25.000Z",
  "_published": "2026-06-09T22:07:54.332Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 80436464559,
      "time": 341,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7521282016"
    },
    {
      "job": 80436464566,
      "time": 382,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7521295457"
    },
    {
      "job": 80436464578,
      "time": 212,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7521256985"
    },
    {
      "job": 80436464575,
      "time": 296,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7521281874"
    },
    {
      "job": 80435747579,
      "time": 251,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7521170674"
    },
    {
      "job": 80436464589,
      "time": 163,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7521224015"
    },
    {
      "job": 80436464649,
      "time": 435,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7521312852"
    },
    {
      "job": 80436464617,
      "time": 369,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7521291122"
    },
    {
      "job": 80436464574,
      "time": 569,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7521355541"
    }
  ],
  "_buildurl": "https://github.com/r-universe/zoliqua/actions/runs/27238282125",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/zoliqua/venn-diagram-lab",
  "_commit": {
    "id": "c13332716a23b5ebeda4d1a1785f551352dca349",
    "author": "Zoltán Dul <zoltan.dul@gmail.com>",
    "committer": "Zoltán Dul <zoltan.dul@gmail.com>",
    "message": "chore(r): bump vennDiagramLab 2.2.3 -> 2.4.0; track USER_GUIDE; absolute README links\n\nCross-package version sync (no functional R changes since 2.2.3 — the\nmatplotlib backend was Python-only).\n\n- DESCRIPTION: Version 2.2.3 -> 2.4.0, Date -> 2026-06-09. vdl_version()\n  reads packageVersion() dynamically, so it follows automatically.\n- NEWS.md: v2.4.0 entry (version-only release, lockstep with web tool + Python).\n- docs/USER_GUIDE.md version markers -> 2.4.0; USER_GUIDE.pdf regenerated\n  (pandoc + xelatex, --toc). Now tracked (docs/ un-ignored at repo root).\n- README: relative links (USER_GUIDE .md/.pdf, LICENSE) -> absolute\n  https://github.com/.../blob/main/r/... URLs so they resolve off-repo.\n- R CMD build OK (vennDiagramLab_2.4.0.tar.gz).\n",
    "time": 1781041387
  },
  "_maintainer": {
    "name": "Zoltán Dul",
    "email": "zoltan.dul@gmail.com",
    "login": "zoliqua",
    "linkedin": "in/zoltandul",
    "orcid": "0000-0002-9523-3450",
    "description": "An independent develeoper from Hungary. A funny dentist 🦷 and a geek 👨🏻‍💻 together. PhD from King's College London in biomedical sciences 👨🏻‍🎓. ",
    "uuid": 456454
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.2",
      "role": "Depends"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "jsonlite",
      "role": "Imports"
    },
    {
      "package": "xml2",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "ComplexUpset",
      "role": "Imports"
    },
    {
      "package": "ggraph",
      "role": "Imports"
    },
    {
      "package": "tidygraph",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "rsvg",
      "role": "Imports"
    },
    {
      "package": "patchwork",
      "role": "Imports"
    },
    {
      "package": "gridExtra",
      "role": "Imports"
    },
    {
      "package": "openxlsx",
      "role": "Imports"
    },
    {
      "package": "zip",
      "role": "Imports"
    },
    {
      "package": "BiocGenerics",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "rprojroot",
      "role": "Suggests"
    },
    {
      "package": "pdftools",
      "role": "Suggests"
    },
    {
      "package": "svglite",
      "role": "Suggests"
    },
    {
      "package": "broom",
      "role": "Suggests"
    },
    {
      "package": "tibble",
      "role": "Suggests"
    },
    {
      "package": "dplyr",
      "role": "Suggests"
    },
    {
      "package": "covr",
      "role": "Suggests"
    },
    {
      "package": "BiocCheck",
      "role": "Suggests"
    },
    {
      "package": "lintr",
      "role": "Suggests"
    },
    {
      "package": "pkgdown",
      "role": "Suggests"
    }
  ],
  "_owner": "zoliqua",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-49",
      "n": 4
    },
    {
      "week": "2025-50",
      "n": 8
    },
    {
      "week": "2025-51",
      "n": 7
    },
    {
      "week": "2025-52",
      "n": 10
    },
    {
      "week": "2026-01",
      "n": 10
    },
    {
      "week": "2026-02",
      "n": 7
    },
    {
      "week": "2026-03",
      "n": 7
    },
    {
      "week": "2026-04",
      "n": 4
    },
    {
      "week": "2026-05",
      "n": 1
    },
    {
      "week": "2026-13",
      "n": 5
    },
    {
      "week": "2026-14",
      "n": 7
    },
    {
      "week": "2026-15",
      "n": 4
    },
    {
      "week": "2026-18",
      "n": 27
    },
    {
      "week": "2026-19",
      "n": 24
    },
    {
      "week": "2026-20",
      "n": 5
    },
    {
      "week": "2026-21",
      "n": 11
    },
    {
      "week": "2026-22",
      "n": 15
    },
    {
      "week": "2026-23",
      "n": 86
    },
    {
      "week": "2026-24",
      "n": 9
    }
  ],
  "_tags": [
    {
      "name": "v1.0.1",
      "date": "2025-12-30"
    },
    {
      "name": "v1.5.0",
      "date": "2026-01-06"
    },
    {
      "name": "v1.9.5",
      "date": "2026-03-27"
    },
    {
      "name": "v1.13.5",
      "date": "2026-04-12"
    },
    {
      "name": "v1.14.0",
      "date": "2026-05-01"
    },
    {
      "name": "v2.0.0",
      "date": "2026-05-03"
    },
    {
      "name": "v2.0.0-rc2",
      "date": "2026-05-03"
    },
    {
      "name": "v2.0.0-rc3",
      "date": "2026-05-03"
    },
    {
      "name": "v2.0.1",
      "date": "2026-05-03"
    },
    {
      "name": "v2.0.2",
      "date": "2026-05-03"
    },
    {
      "name": "r-v2.0.0",
      "date": "2026-05-05"
    },
    {
      "name": "r-v2.0.2",
      "date": "2026-05-07"
    },
    {
      "name": "r-v2.0.3",
      "date": "2026-05-08"
    },
    {
      "name": "r-v2.0.5",
      "date": "2026-05-12"
    },
    {
      "name": "v2.4.0",
      "date": "2026-06-09"
    },
    {
      "name": "v2.4.1",
      "date": "2026-06-09"
    }
  ],
  "_topics": [
    "visualization",
    "genesetenrichment",
    "software",
    "adelaide",
    "bioinformatics",
    "data-visualization",
    "edwards-venn",
    "euler",
    "hamilton",
    "interactive",
    "manawatu",
    "massey",
    "palmerton-north",
    "python-package",
    "react",
    "set-theory",
    "svg",
    "typescript",
    "upsetplot",
    "venn",
    "venn-diagram",
    "venndiagram",
    "victoria"
  ],
  "_stars": 1,
  "_contributors": [
    {
      "user": "zoliqua",
      "count": 252,
      "uuid": 456454
    }
  ],
  "_userbio": {
    "uuid": 456454,
    "type": "user",
    "name": "Zoltan Dul, PhD",
    "description": "An independent develeoper from Hungary. A funny dentist 🦷 and a geek 👨🏻‍💻 together. PhD from King's College London in biomedical sciences 👨🏻‍🎓. "
  },
  "_downloads": {
    "count": 466,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/vennDiagramLab"
  },
  "_devurl": "https://github.com/zoliqua/venn-diagram-lab",
  "_pkgdown": "https://zoliqua.github.io/Venn-Diagram-Lab/r/",
  "_searchresults": 0,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/vennDiagramLab.html",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/zoliqua/venn-diagram-lab",
  "_realowner": "zoliqua",
  "_cranurl": true,
  "_releases": [
    {
      "version": "2.0.5",
      "date": "2026-05-18"
    }
  ],
  "_exports": [
    "analyze",
    "bh_fdr",
    "circle_intersection_area",
    "cluster_set_order",
    "compute_pairwise",
    "dice",
    "effective_universe",
    "exclusive_items",
    "fold_enrichment",
    "generate_proportional_svg",
    "geom_venn",
    "hypergeometric_p_value",
    "intersection_items",
    "item_share_distribution",
    "jaccard",
    "list_models",
    "list_samples",
    "load_csv",
    "load_gmt",
    "load_gmx",
    "load_sample",
    "load_tsv",
    "overlap_coefficient",
    "parse_region_expression",
    "render_cluster_heatmap",
    "render_enrichment_bar",
    "render_enrichment_lollipop",
    "render_network",
    "render_share_distribution",
    "render_upset",
    "render_venn_svg",
    "solve_2set",
    "solve_3set",
    "statistics",
    "to_excel_workbook",
    "to_matrix_tsv",
    "to_pdf_report",
    "to_region_summary_tsv",
    "to_statistics_tsv",
    "to_zip_report",
    "union_items",
    "vdl_version"
  ],
  "_help": [
    {
      "page": "analyze",
      "title": "Analyze a Venn diagram dataset",
      "topics": [
        "analyze"
      ]
    },
    {
      "page": "augment.RegionResult",
      "title": "Augment method for RegionResult (broom-compatible)",
      "topics": [
        "augment.RegionResult"
      ]
    },
    {
      "page": "bh_fdr",
      "title": "Benjamini-Hochberg FDR adjustment",
      "topics": [
        "bh_fdr"
      ]
    },
    {
      "page": "circle_intersection_area",
      "title": "Lens-shaped intersection area of two circles",
      "topics": [
        "circle_intersection_area"
      ]
    },
    {
      "page": "cluster_set_order",
      "title": "Hierarchical clustering on a symmetric distance matrix.",
      "topics": [
        "cluster_set_order"
      ]
    },
    {
      "page": "compute_pairwise",
      "title": "Compute all 5 pairwise statistical tables",
      "topics": [
        "compute_pairwise"
      ]
    },
    {
      "page": "dice",
      "title": "Sorensen-Dice coefficient",
      "topics": [
        "dice"
      ]
    },
    {
      "page": "effective_universe",
      "title": "Effective hypergeometric universe size for a RegionResult",
      "topics": [
        "effective_universe",
        "effective_universe,RegionResult-method"
      ]
    },
    {
      "page": "exclusive_items",
      "title": "Items exclusive to a specific set combination",
      "topics": [
        "exclusive_items"
      ]
    },
    {
      "page": "fold_enrichment",
      "title": "Fold enrichment (observed / expected ratio)",
      "topics": [
        "fold_enrichment"
      ]
    },
    {
      "page": "generate_proportional_svg",
      "title": "Generate an area-proportional SVG for a 2- or 3-set RegionResult",
      "topics": [
        "generate_proportional_svg"
      ]
    },
    {
      "page": "geom_venn",
      "title": "Embed a rendered Venn diagram as a ggplot2 layer",
      "topics": [
        "geom_venn"
      ]
    },
    {
      "page": "glance.RegionResult",
      "title": "Glance method for RegionResult (broom-compatible)",
      "topics": [
        "glance.RegionResult"
      ]
    },
    {
      "page": "hypergeometric_p_value",
      "title": "One-sided hypergeometric p-value (over-representation)",
      "topics": [
        "hypergeometric_p_value"
      ]
    },
    {
      "page": "intersection_items",
      "title": "Items in the intersection of the named sets",
      "topics": [
        "intersection_items"
      ]
    },
    {
      "page": "item_share_distribution",
      "title": "Item Share Distribution",
      "topics": [
        "item_share_distribution"
      ]
    },
    {
      "page": "jaccard",
      "title": "Jaccard similarity index",
      "topics": [
        "jaccard"
      ]
    },
    {
      "page": "list_models",
      "title": "List all bundled Venn diagram models",
      "topics": [
        "list_models"
      ]
    },
    {
      "page": "list_samples",
      "title": "List bundled sample dataset names",
      "topics": [
        "list_samples"
      ]
    },
    {
      "page": "load_csv",
      "title": "Load a delimited file (CSV/TSV) into a [`VennDataset-class`]",
      "topics": [
        "load_csv"
      ]
    },
    {
      "page": "load_gmt",
      "title": "Load a GMT (Gene Matrix Transposed) file into a [`VennDataset-class`]",
      "topics": [
        "load_gmt"
      ]
    },
    {
      "page": "load_gmx",
      "title": "Load a GMX file (transposed GMT) into a [`VennDataset-class`]",
      "topics": [
        "load_gmx"
      ]
    },
    {
      "page": "load_sample",
      "title": "Load a bundled sample dataset by name",
      "topics": [
        "load_sample"
      ]
    },
    {
      "page": "load_tsv",
      "title": "Load a tab-separated file into a [`VennDataset-class`]",
      "topics": [
        "load_tsv"
      ]
    },
    {
      "page": "overlap_coefficient",
      "title": "Szymkiewicz-Simpson overlap coefficient",
      "topics": [
        "overlap_coefficient"
      ]
    },
    {
      "page": "parse_region_expression",
      "title": "Parse a Boolean region expression into bitmasks",
      "topics": [
        "parse_region_expression"
      ]
    },
    {
      "page": "RegionData-class",
      "title": "RegionData: one region of a Venn diagram",
      "topics": [
        "RegionData-class"
      ]
    },
    {
      "page": "RegionResult-class",
      "title": "RegionResult: result of analyze()",
      "topics": [
        "RegionResult-class"
      ]
    },
    {
      "page": "render_cluster_heatmap",
      "title": "Render a cluster-ordered Jaccard similarity heatmap",
      "topics": [
        "render_cluster_heatmap"
      ]
    },
    {
      "page": "render_enrichment_bar",
      "title": "Render the pairwise enrichment bar chart",
      "topics": [
        "render_enrichment_bar"
      ]
    },
    {
      "page": "render_enrichment_lollipop",
      "title": "Render the pairwise enrichment lollipop chart",
      "topics": [
        "render_enrichment_lollipop"
      ]
    },
    {
      "page": "render_network",
      "title": "Render a force-directed network plot from a RegionResult",
      "topics": [
        "render_network"
      ]
    },
    {
      "page": "render_share_distribution",
      "title": "Render the Item Share Distribution histogram",
      "topics": [
        "render_share_distribution"
      ]
    },
    {
      "page": "render_upset",
      "title": "Render an UpSet plot from a RegionResult",
      "topics": [
        "render_upset"
      ]
    },
    {
      "page": "render_venn_svg",
      "title": "Render a RegionResult onto its model SVG and return the raw SVG string",
      "topics": [
        "render_venn_svg"
      ]
    },
    {
      "page": "solve_2set",
      "title": "Area-proportional 2-set circle layout",
      "topics": [
        "solve_2set"
      ]
    },
    {
      "page": "solve_3set",
      "title": "Area-proportional 3-set circle layout (Wilkinson 2012-style triangulation)",
      "topics": [
        "solve_3set"
      ]
    },
    {
      "page": "statistics",
      "title": "Lazy pairwise statistics for a RegionResult",
      "topics": [
        "statistics",
        "statistics,RegionResult-method"
      ]
    },
    {
      "page": "StatisticsResult-class",
      "title": "StatisticsResult: container for pairwise statistical metric tables",
      "topics": [
        "StatisticsResult-class"
      ]
    },
    {
      "page": "SvgImage-class",
      "title": "SvgImage: wrapper for rendered SVG output",
      "topics": [
        "SvgImage-class"
      ]
    },
    {
      "page": "tidy.RegionResult",
      "title": "Tidy method for RegionResult (broom-compatible)",
      "topics": [
        "tidy.RegionResult"
      ]
    },
    {
      "page": "to_excel_workbook",
      "title": "Write a 3-sheet Excel workbook matching the webtool's ZIP bundle",
      "topics": [
        "to_excel_workbook"
      ]
    },
    {
      "page": "to_matrix_tsv",
      "title": "Write the Item Matrix TSV",
      "topics": [
        "to_matrix_tsv",
        "to_matrix_tsv,RegionResult-method"
      ]
    },
    {
      "page": "to_pdf_report",
      "title": "Compose a multi-page PDF report from a RegionResult",
      "topics": [
        "to_pdf_report"
      ]
    },
    {
      "page": "to_region_summary_tsv",
      "title": "Write the Region Summary TSV",
      "topics": [
        "to_region_summary_tsv",
        "to_region_summary_tsv,RegionResult-method"
      ]
    },
    {
      "page": "to_statistics_tsv",
      "title": "Write the pairwise Statistics TSV",
      "topics": [
        "to_statistics_tsv",
        "to_statistics_tsv,RegionResult-method"
      ]
    },
    {
      "page": "to_zip_report",
      "title": "Write a Full Report ZIP bundle",
      "topics": [
        "to_zip_report"
      ]
    },
    {
      "page": "union_items",
      "title": "Items in the union of the named sets",
      "topics": [
        "union_items"
      ]
    },
    {
      "page": "vdl_version",
      "title": "Get the vennDiagramLab package version",
      "topics": [
        "vdl_version"
      ]
    },
    {
      "page": "VennDataset-class",
      "title": "VennDataset: in-memory representation of a Venn-diagram input",
      "topics": [
        "VennDataset-class"
      ]
    }
  ],
  "_readme": "https://github.com/zoliqua/venn-diagram-lab/raw/HEAD/r/README.md",
  "_rundeps": [
    "base64enc",
    "BiocGenerics",
    "cachem",
    "cli",
    "colorspace",
    "ComplexUpset",
    "cpp11",
    "dplyr",
    "farver",
    "fastmap",
    "generics",
    "ggforce",
    "ggplot2",
    "ggraph",
    "ggrepel",
    "glue",
    "graphlayouts",
    "gridExtra",
    "gtable",
    "igraph",
    "isoband",
    "jsonlite",
    "labeling",
    "lattice",
    "lifecycle",
    "magrittr",
    "MASS",
    "Matrix",
    "memoise",
    "openxlsx",
    "patchwork",
    "pillar",
    "pkgconfig",
    "polyclip",
    "purrr",
    "R6",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "rlang",
    "rsvg",
    "S7",
    "scales",
    "stringi",
    "stringr",
    "systemfonts",
    "tibble",
    "tidygraph",
    "tidyr",
    "tidyselect",
    "tweenr",
    "utf8",
    "vctrs",
    "viridis",
    "viridisLite",
    "withr",
    "xml2",
    "zip"
  ],
  "_vignettes": [
    {
      "source": "v03_proportional_diagrams.Rmd",
      "filename": "v03_proportional_diagrams.html",
      "title": "Area-proportional 2/3-set diagrams",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Area-proportional 2/3-set diagrams",
        "When to use proportional",
        "A 2-set example",
        "A 3-set example",
        "Low-level helpers",
        "circle_intersection_area(r1, r2, d)",
        "solve_2set(a_only, b_only, ab)",
        "solve_3set(regions)",
        "What's next"
      ],
      "created": "2026-05-04 20:13:12",
      "modified": "2026-05-12 18:42:39",
      "commits": 3
    },
    {
      "source": "v04_upset_vs_venn_vs_network.Rmd",
      "filename": "v04_upset_vs_venn_vs_network.html",
      "title": "Choosing UpSet vs Venn vs Network",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Choosing UpSet vs Venn vs Network",
        "Quick guidance",
        "Venn",
        "UpSet",
        "Network",
        "When the three views disagree",
        "What's next"
      ],
      "created": "2026-05-04 20:13:12",
      "modified": "2026-05-12 18:42:39",
      "commits": 4
    },
    {
      "source": "v08_custom_styling_and_export.Rmd",
      "filename": "v08_custom_styling_and_export.html",
      "title": "Custom styling and export",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Custom styling and export",
        "Custom names",
        "Custom colors",
        "Hide the count labels",
        "Post-render SVG manipulation with xml2",
        "Embed in a ggplot2 chain",
        "Multi-format export",
        "What's next"
      ],
      "created": "2026-05-04 20:13:12",
      "modified": "2026-05-12 18:42:39",
      "commits": 3
    },
    {
      "source": "v07_pdf_reports.Rmd",
      "filename": "v07_pdf_reports.html",
      "title": "PDF reports",
      "engine": "knitr::rmarkdown",
      "headings": [
        "PDF reports",
        "Generating the report",
        "What the report contains",
        "What's next"
      ],
      "created": "2026-05-04 20:13:12",
      "modified": "2026-05-12 18:42:39",
      "commits": 3
    },
    {
      "source": "v06_pipeline_integration.Rmd",
      "filename": "v06_pipeline_integration.html",
      "title": "Pipeline integration (targets / drake)",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Pipeline integration",
        "broom methods",
        "Combining with dplyr",
        "targets pipeline (sketch)",
        "Caching tip",
        "What's next"
      ],
      "created": "2026-05-04 20:13:12",
      "modified": "2026-05-12 18:42:39",
      "commits": 3
    },
    {
      "source": "v01_quickstart.Rmd",
      "filename": "v01_quickstart.html",
      "title": "Quickstart",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Quickstart",
        "1. Load the package",
        "2. Pick a bundled sample",
        "3. Load it as a VennDataset",
        "4. Analyze",
        "5. Render",
        "What's next"
      ],
      "created": "2026-05-04 20:13:12",
      "modified": "2026-05-12 18:42:39",
      "commits": 2
    },
    {
      "source": "v02_real_cancer_drivers.Rmd",
      "filename": "v02_real_cancer_drivers.html",
      "title": "Real cancer drivers walkthrough",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Real cancer drivers walkthrough",
        "Set sizes",
        "Universe",
        "Analyze",
        "Set sizes (inclusive) and intersection layout",
        "A summary at a glance",
        "Render the venn diagram",
        "UpSet view",
        "Top significant intersections",
        "Item-level annotation",
        "Save the region summary",
        "What's next"
      ],
      "created": "2026-05-04 20:13:12",
      "modified": "2026-05-12 18:42:39",
      "commits": 4
    },
    {
      "source": "v05_statistics_deep_dive.Rmd",
      "filename": "v05_statistics_deep_dive.html",
      "title": "Statistics deep dive (Jaccard, Dice, hypergeometric, BH-FDR)",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Statistics deep dive",
        "The five metrics",
        "Compute one metric directly",
        "All pairs at once",
        "BH-FDR adjustment",
        "broom-compatible long-form",
        "Reproducing the web tool's coloring",
        "What's next"
      ],
      "created": "2026-05-04 20:13:12",
      "modified": "2026-05-12 18:42:39",
      "commits": 2
    }
  ],
  "_score": 5.880813592280791,
  "_indexed": true,
  "_nocasepkg": "venndiagramlab",
  "_universes": [
    "zoliqua"
  ],
  "_previous": "2.2.3",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.4.0",
      "date": "2026-06-09T22:00:39.000Z",
      "distro": "noble",
      "commit": "c13332716a23b5ebeda4d1a1785f551352dca349",
      "fileid": "2cbceea2d23aef3c76cf4b221972f966781aa2b1b3cd8dcc7693dbb2e67af4b2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/zoliqua/actions/runs/27238282125"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "2.4.0",
      "date": "2026-06-09T22:01:16.000Z",
      "distro": "noble",
      "commit": "c13332716a23b5ebeda4d1a1785f551352dca349",
      "fileid": "18eeab26fe3f5e96ed4d6bf1201cbdf4d0b17a36d084b9ae1e45f198dc210fc3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/zoliqua/actions/runs/27238282125"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "2.4.0",
      "date": "2026-06-09T22:00:35.000Z",
      "commit": "c13332716a23b5ebeda4d1a1785f551352dca349",
      "fileid": "562a651c37a145eb24a0eeea0f4e6d861194350f405ea1ebe385ce5f73fe2200",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/zoliqua/actions/runs/27238282125"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "2.4.0",
      "date": "2026-06-09T22:00:34.000Z",
      "commit": "c13332716a23b5ebeda4d1a1785f551352dca349",
      "fileid": "f41fb508e3c11d523fde63b468745bcfff25b8412ed79429db66a6adf69ac603",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/zoliqua/actions/runs/27238282125"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.4.0",
      "date": "2026-06-09T22:00:36.000Z",
      "commit": "c13332716a23b5ebeda4d1a1785f551352dca349",
      "fileid": "d2b3f8b5d985eb62ef288ed20ee7c4c1a4628432eaf19222c82596c0fef6cdfd",
      "status": "success",
      "buildurl": "https://github.com/r-universe/zoliqua/actions/runs/27238282125"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "2.4.0",
      "date": "2026-06-09T22:00:43.000Z",
      "commit": "c13332716a23b5ebeda4d1a1785f551352dca349",
      "fileid": "a8101cb73fc64dc65f1cacb073cd1ff5a6dc577143c5d0702eb9e8faf70d7583",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/zoliqua/actions/runs/27238282125"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "2.4.0",
      "date": "2026-06-09T21:59:48.000Z",
      "commit": "c13332716a23b5ebeda4d1a1785f551352dca349",
      "fileid": "073b81e889ede752ef5013f4f4700cd7c3628c083bb94826635cd2b31bc18624",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/zoliqua/actions/runs/27238282125"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "2.4.0",
      "date": "2026-06-09T21:59:36.000Z",
      "commit": "c13332716a23b5ebeda4d1a1785f551352dca349",
      "fileid": "2db0078514bc0ccb9b0ebf06c00eec68842c2f8dd75c7339544dfb11643ba649",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/zoliqua/actions/runs/27238282125"
    }
  ]
}