{
  "_id": "6ad863a569e274306bae8f7d",
  "Package": "PRA",
  "Type": "Package",
  "Title": "Project Risk Analysis",
  "Version": "0.7.0",
  "Authors@R": "person(\"Paul\", \"Govan\", email = \"paul.govan2@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"), comment = c(ORCID = \"0000-0002-1821-8492\"))",
  "Description": "Data analysis for Project Risk Management via the Second\nMoment Method, Monte Carlo Simulation, Contingency Analysis,\nSensitivity Analysis, Earned Value Management, Learning Curves,\nBayesian Methods, and more.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list (markdown = TRUE, roclets = c (\"namespace\", \"rd\",\n\"srr::srr_stats_roclet\"))",
  "URL": "https://paulgovan.github.io/PRA/, https://github.com/paulgovan/PRA",
  "BugReports": "https://github.com/paulgovan/PRA/issues",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "RoxygenNote": "7.3.3",
  "Config/pak/sysreqs": "cmake make libicu-dev",
  "Repository": "https://paulgovan.r-universe.dev",
  "Date/Publication": "2026-09-21 01:30:40 UTC",
  "RemoteUrl": "https://github.com/paulgovan/pra",
  "RemoteRef": "HEAD",
  "RemoteSha": "2919a3c62a7ca42163d94255de330338fcfa58c6",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-21 06:35:15 UTC",
    "User": "root"
  },
  "Author": "Paul Govan [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-1821-8492>)",
  "Maintainer": "Paul Govan <paul.govan2@gmail.com>",
  "_user": "paulgovan",
  "_type": "src",
  "_file": "PRA_0.7.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/a8a22e7e6822bb5123cb49f95ef62359722adb964c25b09a959a9cbee7ae4b6d",
  "_filesize": 1349029,
  "_sha256": "a8a22e7e6822bb5123cb49f95ef62359722adb964c25b09a959a9cbee7ae4b6d",
  "_expires": "2027-01-29T07:02:59.000Z",
  "_created": "2026-10-21T06:35:15.000Z",
  "_published": "2026-10-21T07:03:00.942Z",
  "_buildurl": "https://github.com/r-universe/paulgovan/actions/runs/39555528931",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
    {
      "job": 119077000447,
      "time": 179,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12325848399"
    },
    {
      "job": 119077000397,
      "time": 168,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12325218418"
    },
    {
      "job": 119077000361,
      "time": 120,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "12327575162"
    },
    {
      "job": 119077000330,
      "time": 126,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12326518139"
    },
    {
      "job": 119074414153,
      "time": 461,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12325852598"
    },
    {
      "job": 119077000508,
      "time": 128,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12325353250"
    },
    {
      "job": 119077000577,
      "time": 92,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12325273143"
    },
    {
      "job": 119077000498,
      "time": 114,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "12325932056"
    },
    {
      "job": 119077000465,
      "time": 123,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12325868026"
    }
  ],
  "_upstream": "https://github.com/paulgovan/pra",
  "_commit": {
    "id": "2919a3c62a7ca42163d94255de330338fcfa58c6",
    "author": "Claude <noreply@anthropic.com>",
    "committer": "Claude <noreply@anthropic.com>",
    "message": "Move proposal content back to the O'Reilly structure\n\nRecast proposal.md into the thirteen-section O'Reilly layout, carrying over\nthe material the Chapman & Hall/CRC pass established: author affiliation, four\nnamed reviewers, a table of contents at section-heading depth, and figure and\nlength counts measured from source.\n\nFour answers had no O'Reilly equivalent. The colour-figure breakdown and the\ndelivery toolchain fold into Length and Schedule; the textbook and course\nquestion splits between Audience and Key Features; the search keywords attach\nto Key Features. The publisher-specific category codes are dropped, with the\nunderlying disciplines described in Audience instead. The AI-disclosure\nquestion is retained as an open item, since it is not unique to one publisher.\n\nCorrects a claim from the earlier O'Reilly draft: exercises appear in all\neleven method chapters, but worked solutions exist for ten of them, with the\nQuarto chapter's outstanding. That gap is now stated and scheduled.\n\nReplaces the CRC-form document, retained in history at 9eadc8e.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01WFFrQMC491KXcNdXRVkC5j\n",
    "time": 1789954240
  },
  "_maintainer": {
    "name": "Paul Govan",
    "email": "paul.govan2@gmail.com",
    "login": "paulgovan",
    "linkedin": "in/paulgovan",
    "orcid": "0000-0002-1821-8492",
    "description": "Senior Reliability Engineer at GE Aerospace",
    "uuid": 11376796
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "mc2d",
      "role": "Imports"
    },
    {
      "package": "minpack.lm",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "tools",
      "role": "Imports"
    },
    {
      "package": "base64enc",
      "role": "Suggests"
    },
    {
      "package": "devtools",
      "role": "Suggests"
    },
    {
      "package": "ellmer",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    },
    {
      "package": "igraph",
      "role": "Suggests"
    },
    {
      "package": "jsonlite",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "networkD3",
      "role": "Suggests"
    },
    {
      "package": "remotes",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "scales",
      "role": "Suggests"
    },
    {
      "package": "mcptools",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "withr",
      "role": "Suggests"
    }
  ],
  "_owner": "paulgovan",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-05",
      "n": 18
    },
    {
      "week": "2026-06",
      "n": 6
    },
    {
      "week": "2026-07",
      "n": 7
    },
    {
      "week": "2026-14",
      "n": 3
    },
    {
      "week": "2026-15",
      "n": 12
    },
    {
      "week": "2026-16",
      "n": 2
    },
    {
      "week": "2026-19",
      "n": 10
    },
    {
      "week": "2026-21",
      "n": 1
    },
    {
      "week": "2026-22",
      "n": 14
    },
    {
      "week": "2026-23",
      "n": 2
    },
    {
      "week": "2026-24",
      "n": 4
    },
    {
      "week": "2026-28",
      "n": 1
    },
    {
      "week": "2026-36",
      "n": 1
    },
    {
      "week": "2026-38",
      "n": 2
    },
    {
      "week": "2026-39",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "v0.4.0",
      "date": "2026-04-08"
    },
    {
      "name": "v0.6.0",
      "date": "2026-08-25"
    }
  ],
  "_topics": [
    "causal-networks",
    "contingency-analysis",
    "monte-carlo-simulation",
    "risk-analysis",
    "sensitivity-analysis"
  ],
  "_stars": 4,
  "_contributors": [
    {
      "user": "paulgovan",
      "count": 187,
      "uuid": 11376796
    },
    {
      "user": "claude",
      "count": 3,
      "uuid": 81847
    }
  ],
  "_userbio": {
    "uuid": 11376796,
    "type": "user",
    "name": "Paul Govan",
    "followers": 49,
    "description": "Senior Reliability Engineer at GE Aerospace"
  },
  "_downloads": {
    "count": 360,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PRA"
  },
  "_devurl": "https://github.com/paulgovan/pra",
  "_pkgdown": "https://paulgovan.github.io/PRA/",
  "_searchresults": 22,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/PRA.html",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE"
  ],
  "_homeurl": "https://github.com/paulgovan/pra",
  "_realowner": "paulgovan",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.2.0",
      "date": "2024-07-02"
    },
    {
      "version": "0.3.0",
      "date": "2024-08-20"
    },
    {
      "version": "0.4.0",
      "date": "2026-04-08"
    },
    {
      "version": "0.6.0",
      "date": "2026-08-28"
    }
  ],
  "_exports": [
    "ac",
    "contingency",
    "cor_matrix",
    "cost_pdf",
    "cost_post_pdf",
    "cpi",
    "cv",
    "eac",
    "etc",
    "ev",
    "fit_sigmoidal",
    "grandparent_dsm",
    "mcs",
    "parent_dsm",
    "plot_sigmoidal",
    "pra_mcp_server",
    "pra_tools",
    "predict_sigmoidal",
    "prob_net",
    "prob_net_learn",
    "prob_net_sim",
    "prob_net_update",
    "pv",
    "risk_post_prob",
    "risk_prob",
    "sensitivity",
    "smm",
    "spi",
    "sv",
    "tcpi",
    "vac"
  ],
  "_datasets": [
    {
      "name": "building_project",
      "title": "Mid-Rise Commercial Building Construction Project",
      "object": "building_project",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ac",
      "title": "Actual Cost (AC).",
      "topics": [
        "ac"
      ]
    },
    {
      "page": "building_project",
      "title": "Mid-Rise Commercial Building Construction Project",
      "topics": [
        "building_project"
      ]
    },
    {
      "page": "contingency",
      "title": "Contingency Calculation.",
      "topics": [
        "contingency"
      ]
    },
    {
      "page": "cor_matrix",
      "title": "Generate Correlation Matrix from Random Samples.",
      "topics": [
        "cor_matrix"
      ]
    },
    {
      "page": "cost_pdf",
      "title": "Cost Probability Density.",
      "topics": [
        "cost_pdf"
      ]
    },
    {
      "page": "cost_post_pdf",
      "title": "Posterior Cost Probability Density.",
      "topics": [
        "cost_post_pdf"
      ]
    },
    {
      "page": "cpi",
      "title": "Cost Performance Index (CPI).",
      "topics": [
        "cpi"
      ]
    },
    {
      "page": "cv",
      "title": "Cost Variance (CV).",
      "topics": [
        "cv"
      ]
    },
    {
      "page": "eac",
      "title": "Estimate at Completion (EAC).",
      "topics": [
        "eac"
      ]
    },
    {
      "page": "etc",
      "title": "Estimate to Complete (ETC).",
      "topics": [
        "etc"
      ]
    },
    {
      "page": "ev",
      "title": "Earned Value (EV).",
      "topics": [
        "ev"
      ]
    },
    {
      "page": "fit_sigmoidal",
      "title": "Fit a Sigmoidal Model to Data.",
      "topics": [
        "fit_sigmoidal"
      ]
    },
    {
      "page": "grandparent_dsm",
      "title": "Risk-based 'Grandparent' Design Structure Matrix (DSM).",
      "topics": [
        "grandparent_dsm"
      ]
    },
    {
      "page": "mcs",
      "title": "Monte Carlo Simulation.",
      "topics": [
        "mcs"
      ]
    },
    {
      "page": "parent_dsm",
      "title": "Resource-based 'Parent' Design Structure Matrix (DSM).",
      "topics": [
        "parent_dsm"
      ]
    },
    {
      "page": "plot_sigmoidal",
      "title": "Plot a Fitted Sigmoidal Model.",
      "topics": [
        "plot_sigmoidal"
      ]
    },
    {
      "page": "plot.dsm",
      "title": "Plot a DSM heatmap.",
      "topics": [
        "plot.dsm"
      ]
    },
    {
      "page": "plot.mcs",
      "title": "Plot Monte Carlo Simulation results.",
      "topics": [
        "plot.mcs"
      ]
    },
    {
      "page": "plot.pra_sigmoidal_fit",
      "title": "Plot a sigmoidal model fit.",
      "topics": [
        "plot.pra_sigmoidal_fit"
      ]
    },
    {
      "page": "plot.prob_net",
      "title": "Plot a probabilistic network.",
      "topics": [
        "plot.prob_net"
      ]
    },
    {
      "page": "plot.smm",
      "title": "Plot Second Moment Method results.",
      "topics": [
        "plot.smm"
      ]
    },
    {
      "page": "pra_mcp_server",
      "title": "Start a PRA MCP Server",
      "topics": [
        "pra_mcp_server"
      ]
    },
    {
      "page": "pra_tools",
      "title": "Create PRA Tool Definitions for LLM Agent",
      "topics": [
        "pra_tools"
      ]
    },
    {
      "page": "predict_sigmoidal",
      "title": "Predict a Sigmoidal Function Using Fitted Model.",
      "topics": [
        "predict_sigmoidal"
      ]
    },
    {
      "page": "print.dsm",
      "title": "Print a DSM object.",
      "topics": [
        "print.dsm"
      ]
    },
    {
      "page": "print.mcs",
      "title": "Print method for Monte Carlo Simulation results.",
      "topics": [
        "print.mcs"
      ]
    },
    {
      "page": "print.pra_sigmoidal_fit",
      "title": "Print method for Sigmoidal Model",
      "topics": [
        "print.pra_sigmoidal_fit"
      ]
    },
    {
      "page": "print.prob_net",
      "title": "Print a probabilistic network.",
      "topics": [
        "print.prob_net"
      ]
    },
    {
      "page": "print.smm",
      "title": "Print method for SMM results.",
      "topics": [
        "print.smm"
      ]
    },
    {
      "page": "print.summary.dsm",
      "title": "Print a DSM summary.",
      "topics": [
        "print.summary.dsm"
      ]
    },
    {
      "page": "print.summary.mcs",
      "title": "Print a Monte Carlo Simulation summary.",
      "topics": [
        "print.summary.mcs"
      ]
    },
    {
      "page": "print.summary.pra_sigmoidal_fit",
      "title": "Print a sigmoidal model fit summary.",
      "topics": [
        "print.summary.pra_sigmoidal_fit"
      ]
    },
    {
      "page": "print.summary.prob_net",
      "title": "Print a probabilistic network summary.",
      "topics": [
        "print.summary.prob_net"
      ]
    },
    {
      "page": "print.summary.smm",
      "title": "Print a Second Moment Method summary.",
      "topics": [
        "print.summary.smm"
      ]
    },
    {
      "page": "prob_net",
      "title": "Probabilistic Network of Project Risks.",
      "topics": [
        "prob_net"
      ]
    },
    {
      "page": "prob_net_learn",
      "title": "Perform Bayesian Learning on a Probabilistic Network of Project Risks.",
      "topics": [
        "prob_net_learn"
      ]
    },
    {
      "page": "prob_net_sim",
      "title": "Perform Inference on a Probabilistic Network of Project Risks.",
      "topics": [
        "prob_net_sim"
      ]
    },
    {
      "page": "prob_net_update",
      "title": "Update a Probabilistic Network of Project Risks.",
      "topics": [
        "prob_net_update"
      ]
    },
    {
      "page": "pv",
      "title": "Planned Value (PV).",
      "topics": [
        "pv"
      ]
    },
    {
      "page": "risk_post_prob",
      "title": "Posterior Risk Probability.",
      "topics": [
        "risk_post_prob"
      ]
    },
    {
      "page": "risk_prob",
      "title": "Bayesian Inference for Risk Probability.",
      "topics": [
        "risk_prob"
      ]
    },
    {
      "page": "sensitivity",
      "title": "Sensitivity Analysis.",
      "topics": [
        "sensitivity"
      ]
    },
    {
      "page": "smm",
      "title": "Second Moment Method Analysis.",
      "topics": [
        "smm"
      ]
    },
    {
      "page": "spi",
      "title": "Schedule Performance Index (SPI).",
      "topics": [
        "spi"
      ]
    },
    {
      "page": "summary.dsm",
      "title": "Summarize a DSM object.",
      "topics": [
        "summary.dsm"
      ]
    },
    {
      "page": "summary.mcs",
      "title": "Summarize Monte Carlo Simulation results.",
      "topics": [
        "summary.mcs"
      ]
    },
    {
      "page": "summary.pra_sigmoidal_fit",
      "title": "Summarize a sigmoidal model fit.",
      "topics": [
        "summary.pra_sigmoidal_fit"
      ]
    },
    {
      "page": "summary.prob_net",
      "title": "Summarize a probabilistic network.",
      "topics": [
        "summary.prob_net"
      ]
    },
    {
      "page": "summary.smm",
      "title": "Summarize Second Moment Method results.",
      "topics": [
        "summary.smm"
      ]
    },
    {
      "page": "sv",
      "title": "Schedule Variance (SV).",
      "topics": [
        "sv"
      ]
    },
    {
      "page": "tcpi",
      "title": "To-Complete Performance Index (TCPI).",
      "topics": [
        "tcpi"
      ]
    },
    {
      "page": "vac",
      "title": "Variance at Completion (VAC).",
      "topics": [
        "vac"
      ]
    }
  ],
  "_pkglogo": "https://github.com/paulgovan/pra/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/paulgovan/pra/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "backports",
    "boot",
    "broom",
    "car",
    "carData",
    "cli",
    "colorspace",
    "corrplot",
    "cowplot",
    "cpp11",
    "Deriv",
    "doBy",
    "dplyr",
    "farver",
    "forecast",
    "Formula",
    "fracdiff",
    "generics",
    "ggplot2",
    "ggpubr",
    "ggrepel",
    "ggsci",
    "ggsignif",
    "glue",
    "gridExtra",
    "gtable",
    "isoband",
    "labeling",
    "lattice",
    "lifecycle",
    "lme4",
    "lmtest",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixModels",
    "mc2d",
    "mgcv",
    "minpack.lm",
    "minqa",
    "modelr",
    "mvtnorm",
    "nlme",
    "nloptr",
    "nnet",
    "numDeriv",
    "pbkrtest",
    "pillar",
    "pkgconfig",
    "polynom",
    "purrr",
    "quantreg",
    "R6",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "Rdpack",
    "reformulas",
    "rlang",
    "rstatix",
    "S7",
    "scales",
    "SparseM",
    "stringi",
    "stringr",
    "survival",
    "tibble",
    "tidyr",
    "tidyselect",
    "timeDate",
    "urca",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "pra.Rmd",
      "filename": "pra.html",
      "title": "Quantitative Project Risk Analysis with PRA",
      "author": "Paul Govan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Schedule and Cost Uncertainty",
        "Second Moment Method",
        "Monte Carlo Simulation",
        "Numerical Validation",
        "Contingency Analysis",
        "Sensitivity Analysis",
        "Earned Value Management",
        "Learning Curves",
        "Noisy-OR Risk Inference",
        "Prior Risk Probability",
        "Posterior Risk Probability",
        "Probabilistic Networks",
        "Building a Network",
        "Learning: Conditioning on Evidence",
        "Intervention: The do-Operator",
        "When Seeing and Doing Diverge",
        "Ranking Risks by Intervention",
        "Dependency Structure Analysis",
        "Design Structure Matrices",
        "Model Context Protocol Integration",
        "Illustrative Case Study",
        "Step 1: Characterize Task Uncertainty",
        "Step 2: Rank Risk Drivers",
        "Step 3: Monitor Earned Value at Mid-Project",
        "Step 4: Forecast Cost at Completion",
        "Step 5: Update Risk Probability After Site Inspection",
        "Step 6: Propagate Cost Through the Network",
        "Step 7: Identify Coupled Tasks via DSM",
        "Summary",
        "Limitations and Future Work",
        "Computational details",
        "References"
      ],
      "created": "2026-09-03 01:52:35",
      "modified": "2026-09-03 01:52:35",
      "commits": 1
    }
  ],
  "_score": 5.819543935541869,
  "_indexed": true,
  "_nocasepkg": "pra",
  "_universes": [
    "paulgovan"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.7.0",
      "date": "2026-10-21T06:37:56.000Z",
      "distro": "resolute",
      "commit": "2919a3c62a7ca42163d94255de330338fcfa58c6",
      "fileid": "https://r2.ropensci.org/19573adb1d2a4769b1fa1f454981e5bee194448607f0308fa12bd875788fb523",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/paulgovan/actions/runs/39555528931"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.7.0",
      "date": "2026-10-21T06:37:57.000Z",
      "distro": "resolute",
      "commit": "2919a3c62a7ca42163d94255de330338fcfa58c6",
      "fileid": "https://r2.ropensci.org/4f5282661e39d38e7b44cbe774072040343e6a9dedbc5888f781768140a2d410",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/paulgovan/actions/runs/39555528931"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.7.0",
      "date": "2026-10-21T07:02:03.000Z",
      "commit": "2919a3c62a7ca42163d94255de330338fcfa58c6",
      "fileid": "https://r2.ropensci.org/925e61e5d73a261181a7c4e4432853323206edeec417a41dcceee2d0ab371978",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/paulgovan/actions/runs/39555528931"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.7.0",
      "date": "2026-10-21T07:00:36.000Z",
      "commit": "2919a3c62a7ca42163d94255de330338fcfa58c6",
      "fileid": "https://r2.ropensci.org/f4f061509eaaaf74d3c30af005e0f78b57fdf03f7951829533a0759ebdf442dd",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/paulgovan/actions/runs/39555528931"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.7.0",
      "date": "2026-10-21T06:37:47.000Z",
      "commit": "2919a3c62a7ca42163d94255de330338fcfa58c6",
      "fileid": "https://r2.ropensci.org/f5b65154c2d7f593ba8dba70b54175292dc7a47dbff6ffbf4f4138f5f6166984",
      "status": "success",
      "buildurl": "https://github.com/r-universe/paulgovan/actions/runs/39555528931"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.7.0",
      "date": "2026-10-21T06:36:34.000Z",
      "commit": "2919a3c62a7ca42163d94255de330338fcfa58c6",
      "fileid": "https://r2.ropensci.org/0156fa6bb7e930715b2075a32fa2bbc7fa9e4ec48835f7994766fc3e5c0d15a1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/paulgovan/actions/runs/39555528931"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.7.0",
      "date": "2026-10-21T06:36:39.000Z",
      "commit": "2919a3c62a7ca42163d94255de330338fcfa58c6",
      "fileid": "https://r2.ropensci.org/209fcebc7ea8c450b53bbc96c8d55fe52503d85135740907ab66ad52f2c7e602",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/paulgovan/actions/runs/39555528931"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.7.0",
      "date": "2026-10-21T06:36:49.000Z",
      "commit": "2919a3c62a7ca42163d94255de330338fcfa58c6",
      "fileid": "https://r2.ropensci.org/55d8925b2f755c4c43ceebd08e9c6c2bc207326c3ba3b2212ce0d00a830e3d70",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/paulgovan/actions/runs/39555528931"
    }
  ]
}