{
  "_id": "6a103641acfb0bcc41c99faa",
  "Package": "eyetrackingR",
  "Type": "Package",
  "Version": "0.2.2",
  "Title": "Eye-Tracking Data Analysis",
  "Authors@R": "c(\nperson(\"Samuel\", \"Forbes\", email = \"samuel.h.forbes@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Jacob\", \"Dink\", email = \"jacobwdink@gmail.com\", role = c(\"aut\")),\nperson(\"Brock\", \"Ferguson\", email = \"brock.ferguson@gmail.com\", role = c(\"aut\"))\n)",
  "Description": "Addresses tasks along the pipeline from raw data to\nanalysis and visualization for eye-tracking data. Offers\nseveral popular types of analyses, including linear and growth\ncurve time analyses, onset-contingent reaction time analyses,\nas well as several non-parametric bootstrapping approaches. For\nreferences to the approach see Mirman, Dixon & Magnuson (2008)\n<doi:10.1016/j.jml.2007.11.006>, and Barr (2008)\n<doi:10.1016/j.jml.2007.09.002>.",
  "URL": "https://samforbes.me/eyetrackingR/",
  "BugReports": "https://github.com/samhforbes/eyetrackingR/issues",
  "Date": "2025-07-02",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.3.2",
  "Config/pak/sysreqs": "libicu-dev",
  "Repository": "https://samhforbes.r-universe.dev",
  "Date/Publication": "2025-06-16 16:29:39 UTC",
  "RemoteUrl": "https://github.com/samhforbes/eyetrackingr",
  "RemoteRef": "HEAD",
  "RemoteSha": "b6ba4aef82be365e5d6c32a6e92fad48016fc9fd",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-12 06:52:43 UTC",
    "User": "root"
  },
  "Author": "Samuel Forbes [aut, cre],\nJacob Dink [aut],\nBrock Ferguson [aut]",
  "Maintainer": "Samuel Forbes <samuel.h.forbes@gmail.com>",
  "MD5sum": "8fb47d2560b21b3ec4c1216d7dac8349",
  "_user": "samhforbes",
  "_type": "src",
  "_file": "eyetrackingR_0.2.2.tar.gz",
  "_fileid": "b212521eb761ee282fde2e1bdb415638ec094c1fc0769710410fccd3be1696a7",
  "_filesize": 4750940,
  "_sha256": "b212521eb761ee282fde2e1bdb415638ec094c1fc0769710410fccd3be1696a7",
  "_created": "2026-05-12T06:52:43.000Z",
  "_published": "2026-05-22T10:56:01.421Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77365693758,
      "time": 210,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6937607543"
    },
    {
      "job": 77365693555,
      "time": 210,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6937607487"
    },
    {
      "job": 77365693887,
      "time": 306,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6937623283"
    },
    {
      "job": 77365693537,
      "time": 209,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6937599044"
    },
    {
      "job": 77365693450,
      "time": 307,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6937549584"
    },
    {
      "job": 77365693063,
      "time": 126,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7158819195"
    },
    {
      "job": 77365693597,
      "time": 171,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6937597254"
    },
    {
      "job": 77365693944,
      "time": 165,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6937595694"
    },
    {
      "job": 77365693666,
      "time": 165,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6937595776"
    }
  ],
  "_buildurl": "https://github.com/r-universe/samhforbes/actions/runs/25718298697",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/samhforbes/eyetrackingr",
  "_commit": {
    "id": "b6ba4aef82be365e5d6c32a6e92fad48016fc9fd",
    "author": "Sam Forbes <samuel.forbes@durham.ac.uk>",
    "committer": "Sam Forbes <samuel.forbes@durham.ac.uk>",
    "message": "update website\n",
    "time": 1750091379
  },
  "_maintainer": {
    "name": "Samuel Forbes",
    "email": "samuel.h.forbes@gmail.com",
    "login": "samhforbes",
    "twitter": "@samhforbes",
    "uuid": 18288098
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.2.0",
      "role": "Depends"
    },
    {
      "package": "dplyr",
      "version": ">= 0.7.4",
      "role": "Depends"
    },
    {
      "package": "broom",
      "version": ">= 0.3.7",
      "role": "Imports"
    },
    {
      "package": "broom.mixed",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "version": ">= 2.0",
      "role": "Imports"
    },
    {
      "package": "lazyeval",
      "version": ">= 0.1.10",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "zoo",
      "version": ">= 1.7-12",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "version": ">= 0.3.1",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "version": ">= 0.2.4",
      "role": "Imports"
    },
    {
      "package": "pbapply",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "lme4",
      "version": ">= 1.1-10",
      "role": "Suggests"
    },
    {
      "package": "glmmTMB",
      "role": "Suggests"
    },
    {
      "package": "MASS",
      "role": "Suggests"
    },
    {
      "package": "Matrix",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "doMC",
      "role": "Suggests"
    },
    {
      "package": "foreach",
      "role": "Suggests"
    }
  ],
  "_owner": "samhforbes",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-23",
      "n": 3
    },
    {
      "week": "2025-25",
      "n": 4
    }
  ],
  "_tags": [],
  "_stars": 26,
  "_contributors": [
    {
      "user": "brockf",
      "count": 180,
      "uuid": 442122
    },
    {
      "user": "jwdink",
      "count": 171,
      "uuid": 6982295
    },
    {
      "user": "samhforbes",
      "count": 37,
      "uuid": 18288098
    },
    {
      "user": "kristabh",
      "count": 3,
      "uuid": 7000200
    }
  ],
  "_userbio": {
    "uuid": 18288098,
    "type": "user",
    "name": "Sam Forbes",
    "description": "Associate Professor in Psychology at Durham University"
  },
  "_downloads": {
    "count": 349,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/eyetrackingR"
  },
  "_mentions": 7,
  "_devurl": "https://github.com/samhforbes/eyetrackingr",
  "_searchresults": 65,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/eyetrackingR.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/samhforbes/eyetrackingr",
  "_realowner": "samhforbes",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2015-11-05"
    },
    {
      "version": "0.1.1",
      "date": "2015-11-16"
    },
    {
      "version": "0.1.2",
      "date": "2016-01-09"
    },
    {
      "version": "0.1.3",
      "date": "2016-01-09"
    },
    {
      "version": "0.1.4",
      "date": "2016-01-26"
    },
    {
      "version": "0.1.5",
      "date": "2016-03-06"
    },
    {
      "version": "0.1.6",
      "date": "2016-03-17"
    },
    {
      "version": "0.1.7",
      "date": "2018-02-14"
    },
    {
      "version": "0.1.8",
      "date": "2018-12-03"
    },
    {
      "version": "0.2.0",
      "date": "2021-09-27"
    },
    {
      "version": "0.2.1",
      "date": "2023-09-15"
    },
    {
      "version": "0.2.2",
      "date": "2025-06-18"
    }
  ],
  "_exports": [
    "add_aoi",
    "analyze_boot_splines",
    "analyze_time_bins",
    "analyze_time_clusters",
    "clean_by_trackloss",
    "describe_data",
    "get_time_clusters",
    "make_boot_splines_data",
    "make_eyetrackingr_data",
    "make_onset_data",
    "make_switch_data",
    "make_time_cluster_data",
    "make_time_sequence_data",
    "make_time_window_data",
    "reclass",
    "simulate_eyetrackingr_data",
    "subset_by_window",
    "trackloss_analysis"
  ],
  "_datasets": [
    {
      "name": "word_recognition",
      "title": "Data collected in an infant eyetracking study",
      "object": "word_recognition",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ParticipantName",
        "Sex",
        "Age",
        "TrialNum",
        "Trial",
        "TimeFromTrialOnset",
        "Subphase",
        "TimeFromSubphaseOnset",
        "AOI",
        "Animate",
        "Inanimate",
        "TrackLoss",
        "MCDI_Total",
        "MCDI_Nouns",
        "MCDI_Verbs"
      ],
      "rows": 195912,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_aoi",
      "title": "Add an area-of-interest to your dataset, based on x-y coordinates and the AOI rectangle.",
      "topics": [
        "add_aoi"
      ]
    },
    {
      "page": "analyze_boot_splines",
      "title": "Estimate confidence intervals for bootstrapped splines data",
      "topics": [
        "analyze_boot_splines",
        "analyze_boot_splines.boot_splines_data"
      ]
    },
    {
      "page": "analyze_time_bins",
      "title": "analyze_time_bins()",
      "topics": [
        "analyze_time_bins",
        "analyze_time_bins.time_sequence_data"
      ]
    },
    {
      "page": "analyze_time_clusters",
      "title": "Bootstrap analysis of time-clusters.",
      "topics": [
        "analyze_time_clusters",
        "analyze_time_clusters.time_cluster_data"
      ]
    },
    {
      "page": "clean_by_trackloss",
      "title": "Clean data by removing high-trackloss trials/subjects.",
      "topics": [
        "clean_by_trackloss"
      ]
    },
    {
      "page": "describe_data",
      "title": "Describe dataset",
      "topics": [
        "describe_data"
      ]
    },
    {
      "page": "eyetrackingR",
      "title": "eyetrackingR: A package for cleaning, analyzing, and visualizing eye-tracking datasets",
      "topics": [
        "eyetrackingR-package",
        "eyetrackingR"
      ]
    },
    {
      "page": "get_time_clusters",
      "title": "Get information about the clusters in a cluster-analysis",
      "topics": [
        "get_time_clusters",
        "get_time_clusters.cluster_analysis",
        "get_time_clusters.time_cluster_data"
      ]
    },
    {
      "page": "make_boot_splines_data",
      "title": "Bootstrap resample splines for time-series data.",
      "topics": [
        "make_boot_splines_data",
        "make_boot_splines_data.time_sequence_data"
      ]
    },
    {
      "page": "make_eyetrackingr_data",
      "title": "Convert raw data for use in eyetrackingR",
      "topics": [
        "make_eyetrackingr_data"
      ]
    },
    {
      "page": "make_onset_data",
      "title": "Make onset-contingent data.",
      "topics": [
        "make_onset_data"
      ]
    },
    {
      "page": "make_switch_data",
      "title": "Summarize data into time-to-switch from initial AOI.",
      "topics": [
        "make_switch_data",
        "make_switch_data.onset_data"
      ]
    },
    {
      "page": "make_time_cluster_data",
      "title": "Make data for cluster analysis.",
      "topics": [
        "make_time_cluster_data",
        "make_time_cluster_data.time_sequence_data"
      ]
    },
    {
      "page": "make_time_sequence_data",
      "title": "make_time_sequence_data()",
      "topics": [
        "make_time_sequence_data"
      ]
    },
    {
      "page": "make_time_window_data",
      "title": "Make a dataset collapsing over a time-window",
      "topics": [
        "make_time_window_data"
      ]
    },
    {
      "page": "plot.bin_analysis",
      "title": "Plot test-statistic for each time-bin in a time-series",
      "topics": [
        "plot.bin_analysis"
      ]
    },
    {
      "page": "plot.boot_splines_analysis",
      "title": "Plot differences in bootstrapped-splines data",
      "topics": [
        "plot.boot_splines_analysis"
      ]
    },
    {
      "page": "plot.boot_splines_data",
      "title": "Plot bootstrapped-splines data",
      "topics": [
        "plot.boot_splines_data"
      ]
    },
    {
      "page": "plot.cluster_analysis",
      "title": "Visualize the results of a cluster analysis.",
      "topics": [
        "plot.cluster_analysis"
      ]
    },
    {
      "page": "plot.eyetrackingR_data_summary",
      "title": "Plot some summarized data from eyetrackingR",
      "topics": [
        "plot.eyetrackingR_data_summary"
      ]
    },
    {
      "page": "plot.onset_data",
      "title": "Plot onset-contingent data",
      "topics": [
        "plot.onset_data"
      ]
    },
    {
      "page": "plot.switch_data",
      "title": "Plot mean switch-from-initial-AOI times.",
      "topics": [
        "plot.switch_data"
      ]
    },
    {
      "page": "plot.time_cluster_data",
      "title": "Plot test-statistic for each time-bin in a time-series, highlight clusters. Plot time_cluster_data, highlights clusters of above-threshold time-bins.",
      "topics": [
        "plot.time_cluster_data"
      ]
    },
    {
      "page": "plot.time_sequence_data",
      "title": "Plot time-sequence data",
      "topics": [
        "plot.time_sequence_data"
      ]
    },
    {
      "page": "plot.time_window_data",
      "title": "Plot a time-window dataset",
      "topics": [
        "plot.time_window_data"
      ]
    },
    {
      "page": "print.cluster_analysis",
      "title": "Print Method for Cluster Analysis",
      "topics": [
        "print.cluster_analysis"
      ]
    },
    {
      "page": "reclass",
      "title": "Add the original class/attributes back onto result (usually of dplyr operation)",
      "topics": [
        "reclass",
        "reclass.eyetrackingR_df"
      ]
    },
    {
      "page": "simulate_eyetrackingr_data",
      "title": "Simulate an eyetrackingR dataset",
      "topics": [
        "simulate_eyetrackingr_data"
      ]
    },
    {
      "page": "subset_by_window",
      "title": "Extract a subset of the dataset within a time-window in each trial.",
      "topics": [
        "subset_by_window"
      ]
    },
    {
      "page": "summary.bin_analysis",
      "title": "Summary Method for Time-bin Analysis",
      "topics": [
        "summary.bin_analysis"
      ]
    },
    {
      "page": "summary.boot_splines_analysis",
      "title": "Summary Method for Bootstrapped Splines Analysis",
      "topics": [
        "summary.boot_splines_analysis"
      ]
    },
    {
      "page": "summary.cluster_analysis",
      "title": "Summary Method for Cluster Analysis",
      "topics": [
        "summary.cluster_analysis"
      ]
    },
    {
      "page": "summary.time_cluster_data",
      "title": "Summary Method for Cluster Analysis",
      "topics": [
        "summary.time_cluster_data"
      ]
    },
    {
      "page": "trackloss_analysis",
      "title": "Analyze trackloss.",
      "topics": [
        "trackloss_analysis"
      ]
    },
    {
      "page": "word_recognition",
      "title": "Data collected in an infant eyetracking study",
      "topics": [
        "word_recognition"
      ]
    }
  ],
  "_readme": "https://github.com/samhforbes/eyetrackingr/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "broom",
    "broom.mixed",
    "cli",
    "coda",
    "codetools",
    "cpp11",
    "digest",
    "dplyr",
    "farver",
    "forcats",
    "furrr",
    "future",
    "generics",
    "ggplot2",
    "globals",
    "glue",
    "gtable",
    "isoband",
    "labeling",
    "lattice",
    "lazyeval",
    "lifecycle",
    "listenv",
    "magrittr",
    "nlme",
    "parallelly",
    "pillar",
    "pkgconfig",
    "purrr",
    "R6",
    "RColorBrewer",
    "rlang",
    "S7",
    "scales",
    "stringi",
    "stringr",
    "tibble",
    "tidyr",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "divergence_vignette.Rmd",
      "filename": "divergence_vignette.html",
      "title": "Estimating time windows of divergence",
      "author": "Samuel Forbes, Jacob Dink & Brock Ferguson",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview of this vignette",
        "Prerequisites",
        "Testing Time-Bins Independently",
        "Bootstrapped smoothed divergence analysis",
        "Bootstrapped cluster-based permutation analysis",
        "References"
      ],
      "created": "2015-10-07 20:46:48",
      "modified": "2025-06-03 10:19:43",
      "commits": 39
    },
    {
      "source": "growth_curve_analysis_vignette.Rmd",
      "filename": "growth_curve_analysis_vignette.html",
      "title": "Performing a growth curve analysis using eyetrackingR",
      "author": "Samuel Forbes, Jacob Dink & Brock Ferguson",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview of this vignette",
        "Prerequisites",
        "Visualize the timecourse",
        "Growth curve analysis",
        "But when did the conditions diverge?",
        "References"
      ],
      "created": "2015-10-07 20:46:48",
      "modified": "2023-09-14 20:05:59",
      "commits": 23
    },
    {
      "source": "window_analysis_vignette.Rmd",
      "filename": "window_analysis_vignette.html",
      "title": "Performing a window analysis using eyetrackingR",
      "author": "Samuel Forbes, Jacob Dink & Brock Ferguson",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview of this vignette",
        "Prerequisites",
        "Sanity checks",
        "Performing a simple paired t-test",
        "Using mixed-effects models",
        "Interpreting the estimates",
        "Adding additional predictors",
        "Additional information",
        "A word of caution about window analyses",
        "References"
      ],
      "created": "2015-10-07 20:46:48",
      "modified": "2025-06-16 16:14:34",
      "commits": 25
    },
    {
      "source": "onset_contingent_analysis_vignette.Rmd",
      "filename": "onset_contingent_analysis_vignette.html",
      "title": "Performing an onset-contingent analysis using eyetrackingR",
      "author": "Samuel Forbes, Jacob Dink & Brock Ferguson",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview of this vignette",
        "Prerequisites",
        "Adding new columns",
        "Visualize switches from an onset AOI to the target AOI",
        "Analyze onset-contingent switch times",
        "References"
      ],
      "created": "2015-10-07 20:46:48",
      "modified": "2023-09-14 20:05:59",
      "commits": 20
    },
    {
      "source": "preparing_your_data_vignette.Rmd",
      "filename": "preparing_your_data_vignette.html",
      "title": "Preparing your data for use with eyetrackingR",
      "author": "Samuel Forbes, Jacob Dink & Brock Ferguson",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview of this vignette",
        "Your Data",
        "Data Preparation",
        "Load dataset and dependencies, set data options for eyetrackingR.",
        "Dealing with Non-AOI Looks",
        "Cleaning Up Messy Data:",
        "Adding an Area-of-Interest",
        "Subsetting into the Time-Window of Interest Across Trials",
        "Dealing with trackloss",
        "How much data are we left with?",
        "Assess mean trackloss for each participant",
        "Summarize samples contributed per trial",
        "Assess number of trials contributed by each participant",
        "Summarize number of trials contributed",
        "Create additional columns needed for analysis"
      ],
      "created": "2015-10-07 20:46:48",
      "modified": "2023-09-14 20:05:59",
      "commits": 26
    }
  ],
  "_score": 8.249076003683612,
  "_indexed": true,
  "_nocasepkg": "eyetrackingr",
  "_universes": [
    "samhforbes"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.2.2",
      "date": "2026-05-12T06:55:15.000Z",
      "distro": "noble",
      "commit": "b6ba4aef82be365e5d6c32a6e92fad48016fc9fd",
      "fileid": "936020a98aee07836e47b6656fa577a8b9da962491ed086cf8a7687cb6aad480",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/samhforbes/actions/runs/25718298697"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.2.2",
      "date": "2026-05-12T06:55:17.000Z",
      "distro": "noble",
      "commit": "b6ba4aef82be365e5d6c32a6e92fad48016fc9fd",
      "fileid": "9316d7d0def35abbe224adbca9ea01ee7e369875dee4b3ee8709f2c30ab9956f",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/samhforbes/actions/runs/25718298697"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.2.2",
      "date": "2026-05-12T06:56:11.000Z",
      "commit": "b6ba4aef82be365e5d6c32a6e92fad48016fc9fd",
      "fileid": "ecd9cf703286d42877d8efcf1d9c9b2d6fdc1b59ec4c20da08e417c4dbcded9a",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/samhforbes/actions/runs/25718298697"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.2.2",
      "date": "2026-05-12T06:54:53.000Z",
      "commit": "b6ba4aef82be365e5d6c32a6e92fad48016fc9fd",
      "fileid": "28eb3883cf0b3419fa65751055c29744721357e8518690e4519bbe64ae85a92d",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/samhforbes/actions/runs/25718298697"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.2.2",
      "date": "2026-05-12T06:54:29.000Z",
      "commit": "b6ba4aef82be365e5d6c32a6e92fad48016fc9fd",
      "fileid": "8acdcb34ea2282fcf555dc1a942067829a3f208dca171112992a26afe781582c",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/samhforbes/actions/runs/25718298697"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.2.2",
      "date": "2026-05-12T06:54:25.000Z",
      "commit": "b6ba4aef82be365e5d6c32a6e92fad48016fc9fd",
      "fileid": "6746f28ad98ebea7fc2a220f609078158e4880f0703d5cd01be76f2e0b804f32",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/samhforbes/actions/runs/25718298697"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.2.2",
      "date": "2026-05-12T06:54:20.000Z",
      "commit": "b6ba4aef82be365e5d6c32a6e92fad48016fc9fd",
      "fileid": "0afb4cc10745e94de0d5644daba223c8eb6d6a886bbb58e4d9a31b13ba78acd4",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/samhforbes/actions/runs/25718298697"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.2.2",
      "date": "2026-05-22T10:55:44.000Z",
      "commit": "b6ba4aef82be365e5d6c32a6e92fad48016fc9fd",
      "fileid": "d452802d6b18e895b80724b675306a4d5b04bf73502c1a5ab4acf8658c9a2002",
      "status": "success",
      "buildurl": "https://github.com/r-universe/samhforbes/actions/runs/25718298697"
    }
  ]
}