{
  "_id": "6a31431f3efcd9bda4364c4d",
  "Type": "Package",
  "Package": "fastcpd",
  "Title": "Fast Change Point Detection via Sequential Gradient Descent",
  "Version": "1.0.0",
  "Authors@R": "c(\nperson(\"Xingchi\", \"Li\", , \"anthony.li.stat.tamu.edu@lixingchi.com\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0009-0006-2493-0853\")),\nperson(\"Xianyang\", \"Zhang\", , \"zhangxiany@stat.tamu.edu\", role = c(\"aut\", \"cph\"))\n)",
  "Description": "Implements fast change point detection algorithm based on\nthe paper \"Sequential Gradient Descent and Quasi-Newton's\nMethod for Change-Point Analysis\" by Xianyang Zhang, Trisha\nDawn <https://proceedings.mlr.press/v206/zhang23b.html>. The\nalgorithm is based on dynamic programming with pruning and\nsequential gradient descent. See Li and Zhang (2026)\n<doi:10.18637/jss.v116.i06> for details.",
  "License": "Apache License (>= 2)",
  "URL": "https://fastcpd.xingchi.li, https://github.com/doccstat/fastcpd",
  "BugReports": "https://github.com/doccstat/fastcpd/issues",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Config/testthat/parallel": "true",
  "Config/testthat/start-first": "examples-fastcpd_arima,\nexamples-fastcpd_ts",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Config/roxygen2/version": "8.0.0",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-16 12:22:54 UTC",
    "User": "root"
  },
  "Author": "Xingchi Li [aut, cre, cph] (ORCID:\n<https://orcid.org/0009-0006-2493-0853>), Xianyang Zhang [aut,\ncph]",
  "Maintainer": "Xingchi Li <anthony.li.stat.tamu.edu@lixingchi.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-06-16 11:38:55 UTC",
  "RemoteUrl": "https://github.com/cran/fastcpd",
  "RemoteRef": "HEAD",
  "RemoteSha": "0b583848b2a8e585469c711e4ce161744deef4a2",
  "MD5sum": "31d689e4e29f65474603f95f1a352228",
  "_user": "cran",
  "_type": "src",
  "_file": "fastcpd_1.0.0.tar.gz",
  "_fileid": "dc5c8b17aa5f1648058d52e5555ab8a3e27db438e5b16be8a7cd4793c469d688",
  "_filesize": 5226300,
  "_sha256": "dc5c8b17aa5f1648058d52e5555ab8a3e27db438e5b16be8a7cd4793c469d688",
  "_created": "2026-06-16T12:22:54.000Z",
  "_published": "2026-06-16T12:35:43.366Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 81656988714,
      "time": 439,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7666898808"
    },
    {
      "job": 81656988676,
      "time": 454,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7666904457"
    },
    {
      "job": 81656988697,
      "time": 417,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7666885011"
    },
    {
      "job": 81656988735,
      "time": 420,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7666893596"
    },
    {
      "job": 81654688341,
      "time": 714,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7666724527"
    },
    {
      "job": 81656988733,
      "time": 278,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7666835591"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/27616779968",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/fastcpd",
  "_commit": {
    "id": "0b583848b2a8e585469c711e4ce161744deef4a2",
    "author": "Xingchi Li <anthony.li.stat.tamu.edu@lixingchi.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.0\n",
    "time": 1781609935
  },
  "_maintainer": {
    "name": "Xingchi Li",
    "email": "anthony.li.stat.tamu.edu@lixingchi.com"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 2.10",
      "role": "Depends"
    },
    {
      "package": "progress",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "testthat",
      "role": "LinkingTo"
    },
    {
      "package": "glmnet",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "Rcpp",
      "version": ">= 0.11.0",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    },
    {
      "package": "gridExtra",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "matrixStats",
      "role": "Suggests"
    },
    {
      "package": "mvtnorm",
      "role": "Suggests"
    },
    {
      "package": "RcppArmadillo",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "xml2",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-25",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "1.0.0",
      "date": "2026-06-16"
    }
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "doccstat",
      "count": 15,
      "uuid": 38049831
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 609,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 747,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/fastcpd"
  },
  "_devurl": "https://github.com/doccstat/fastcpd",
  "_pkgdown": "https://fastcpd.xingchi.li",
  "_searchresults": 23,
  "_topics": [
    "openblas",
    "cpp",
    "openmp"
  ],
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/fastcpd.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/doccstat/fastcpd",
  "_realowner": "doccstat",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.6.2",
      "date": "2023-09-14"
    },
    {
      "version": "0.7.0",
      "date": "2023-09-21"
    },
    {
      "version": "0.7.2",
      "date": "2023-09-24"
    },
    {
      "version": "0.9.0",
      "date": "2023-10-19"
    },
    {
      "version": "0.9.9",
      "date": "2023-12-11"
    },
    {
      "version": "0.10.0",
      "date": "2023-12-21"
    },
    {
      "version": "0.10.1",
      "date": "2024-01-09"
    },
    {
      "version": "0.10.3",
      "date": "2024-01-24"
    },
    {
      "version": "0.12.1",
      "date": "2024-03-12"
    },
    {
      "version": "0.12.2",
      "date": "2024-03-19"
    },
    {
      "version": "0.13.1",
      "date": "2024-04-01"
    },
    {
      "version": "0.14.0",
      "date": "2024-04-16"
    },
    {
      "version": "0.14.1",
      "date": "2024-04-18"
    },
    {
      "version": "0.14.3",
      "date": "2024-04-26"
    },
    {
      "version": "0.14.6",
      "date": "2024-11-05"
    },
    {
      "version": "0.16.0",
      "date": "2025-03-13"
    },
    {
      "version": "0.16.1",
      "date": "2025-03-22"
    },
    {
      "version": "0.16.2",
      "date": "2025-04-25"
    },
    {
      "version": "1.0.0",
      "date": "2026-06-16"
    }
  ],
  "_exports": [
    "fastcpd",
    "fastcpd_ar",
    "fastcpd_arima",
    "fastcpd_arma",
    "fastcpd_binomial",
    "fastcpd_exponential",
    "fastcpd_garch",
    "fastcpd_lasso",
    "fastcpd_lm",
    "fastcpd_mean",
    "fastcpd_meanvariance",
    "fastcpd_mv",
    "fastcpd_poisson",
    "fastcpd_ts",
    "fastcpd_var",
    "fastcpd_variance",
    "fastcpd.ar",
    "fastcpd.arima",
    "fastcpd.arma",
    "fastcpd.binomial",
    "fastcpd.exponential",
    "fastcpd.garch",
    "fastcpd.lasso",
    "fastcpd.lm",
    "fastcpd.mean",
    "fastcpd.meanvariance",
    "fastcpd.mv",
    "fastcpd.poisson",
    "fastcpd.ts",
    "fastcpd.var",
    "fastcpd.variance",
    "plot",
    "print",
    "show",
    "summary",
    "variance_arma",
    "variance_lm",
    "variance_mean",
    "variance_median",
    "variance.arma",
    "variance.lm",
    "variance.mean",
    "variance.median"
  ],
  "_datasets": [
    {
      "name": "bitcoin",
      "title": "Bitcoin Market Price (USD)",
      "object": "bitcoin",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "price"
      ],
      "rows": 1354,
      "table": true,
      "tojson": true
    },
    {
      "name": "occupancy",
      "title": "Occupancy Detection Data Set",
      "object": "occupancy",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "Temperature",
        "Humidity",
        "Light",
        "CO2",
        "HumidityRatio",
        "Occupancy"
      ],
      "rows": 9752,
      "table": true,
      "tojson": true
    },
    {
      "name": "transcriptome",
      "title": "Transcription Profiling of 57 Human Bladder Carcinoma Samples",
      "object": "transcriptome",
      "class": [
        "data.frame"
      ],
      "fields": [
        "3",
        "4",
        "5",
        "6",
        "7",
        "8",
        "9",
        "10",
        "14",
        "15",
        "16",
        "17",
        "18",
        "19",
        "21",
        "22",
        "24",
        "26",
        "28",
        "30",
        "31",
        "33",
        "34",
        "35",
        "36",
        "37",
        "38",
        "39",
        "40",
        "41",
        "42",
        "43",
        "44",
        "45",
        "46",
        "47",
        "48",
        "49",
        "50",
        "51",
        "53",
        "54",
        "57"
      ],
      "rows": 2215,
      "table": true,
      "tojson": true
    },
    {
      "name": "uk_seatbelts",
      "title": "UK Seatbelts Data",
      "object": "uk_seatbelts",
      "class": [
        "mts",
        "ts",
        "matrix",
        "array"
      ],
      "fields": [
        "DriversKilled",
        "drivers",
        "front",
        "rear",
        "kms",
        "PetrolPrice",
        "VanKilled",
        "law"
      ],
      "rows": 192,
      "table": true,
      "tojson": true
    },
    {
      "name": "well_log",
      "title": "Well-log Dataset from Numerical Bayesian Methods Applied to Signal Processing",
      "object": "well_log",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bitcoin",
      "title": "Bitcoin Market Price (USD)",
      "topics": [
        "bitcoin"
      ]
    },
    {
      "page": "fastcpd",
      "title": "Find change points efficiently",
      "topics": [
        "fastcpd"
      ]
    },
    {
      "page": "fastcpd_ar",
      "title": "Find change points efficiently in AR(p) models",
      "topics": [
        "fastcpd.ar",
        "fastcpd_ar"
      ]
    },
    {
      "page": "fastcpd_arima",
      "title": "Find change points efficiently in ARIMA(p, d, q) models",
      "topics": [
        "fastcpd.arima",
        "fastcpd_arima"
      ]
    },
    {
      "page": "fastcpd_arma",
      "title": "Find change points efficiently in ARMA(p, q) models",
      "topics": [
        "fastcpd.arma",
        "fastcpd_arma"
      ]
    },
    {
      "page": "fastcpd_binomial",
      "title": "Find change points efficiently in logistic regression models",
      "topics": [
        "fastcpd.binomial",
        "fastcpd_binomial"
      ]
    },
    {
      "page": "fastcpd_exponential",
      "title": "Find change points efficiently in exponentially distributed data",
      "topics": [
        "fastcpd.exponential",
        "fastcpd_exponential"
      ]
    },
    {
      "page": "fastcpd_garch",
      "title": "Find change points efficiently in GARCH(p, q) models",
      "topics": [
        "fastcpd.garch",
        "fastcpd_garch"
      ]
    },
    {
      "page": "fastcpd_lasso",
      "title": "Find change points efficiently in penalized linear regression models",
      "topics": [
        "fastcpd.lasso",
        "fastcpd_lasso"
      ]
    },
    {
      "page": "fastcpd_lm",
      "title": "Find change points efficiently in linear regression models",
      "topics": [
        "fastcpd.lm",
        "fastcpd_lm"
      ]
    },
    {
      "page": "fastcpd_mean",
      "title": "Find change points efficiently in mean change models",
      "topics": [
        "fastcpd.mean",
        "fastcpd_mean"
      ]
    },
    {
      "page": "fastcpd_meanvariance",
      "title": "Find change points efficiently in mean variance change models",
      "topics": [
        "fastcpd.meanvariance",
        "fastcpd.mv",
        "fastcpd_meanvariance",
        "fastcpd_mv"
      ]
    },
    {
      "page": "fastcpd_poisson",
      "title": "Find change points efficiently in Poisson regression models",
      "topics": [
        "fastcpd.poisson",
        "fastcpd_poisson"
      ]
    },
    {
      "page": "fastcpd_ts",
      "title": "Find change points efficiently in time series data",
      "topics": [
        "fastcpd.ts",
        "fastcpd_ts"
      ]
    },
    {
      "page": "fastcpd_var",
      "title": "Find change points efficiently in VAR(p) models",
      "topics": [
        "fastcpd.var",
        "fastcpd_var"
      ]
    },
    {
      "page": "fastcpd_variance",
      "title": "Find change points efficiently in variance change models",
      "topics": [
        "fastcpd.variance",
        "fastcpd_variance"
      ]
    },
    {
      "page": "fastcpd-class",
      "title": "An S4 class to store the output created with 'fastcpd()'",
      "topics": [
        "fastcpd-class"
      ]
    },
    {
      "page": "occupancy",
      "title": "Occupancy Detection Data Set",
      "topics": [
        "occupancy"
      ]
    },
    {
      "page": "plot",
      "title": "Plot the data and the change points for a fastcpd object",
      "topics": [
        "plot,fastcpd,missing-method",
        "plot.fastcpd"
      ]
    },
    {
      "page": "print",
      "title": "Print the call and the change points for a fastcpd object",
      "topics": [
        "print,fastcpd-method",
        "print.fastcpd"
      ]
    },
    {
      "page": "show",
      "title": "Show the available methods for a fastcpd object",
      "topics": [
        "show,fastcpd-method",
        "show.fastcpd"
      ]
    },
    {
      "page": "summary",
      "title": "Show the summary of a fastcpd object",
      "topics": [
        "summary,fastcpd-method",
        "summary.fastcpd"
      ]
    },
    {
      "page": "transcriptome",
      "title": "Transcription Profiling of 57 Human Bladder Carcinoma Samples",
      "topics": [
        "transcriptome"
      ]
    },
    {
      "page": "uk_seatbelts",
      "title": "UK Seatbelts Data",
      "topics": [
        "uk_seatbelts"
      ]
    },
    {
      "page": "variance_arma",
      "title": "Variance estimation for ARMA model with change points",
      "topics": [
        "variance.arma",
        "variance_arma"
      ]
    },
    {
      "page": "variance_lm",
      "title": "Variance estimation for linear models with change points",
      "topics": [
        "variance.lm",
        "variance_lm"
      ]
    },
    {
      "page": "variance_mean",
      "title": "Variance estimation for mean change models",
      "topics": [
        "variance.mean",
        "variance_mean"
      ]
    },
    {
      "page": "variance_median",
      "title": "Variance estimation for median change models",
      "topics": [
        "variance.median",
        "variance_median"
      ]
    },
    {
      "page": "well_log",
      "title": "Well-log Dataset from Numerical Bayesian Methods Applied to Signal Processing",
      "topics": [
        "well_log"
      ]
    }
  ],
  "_pkglogo": "https://github.com/cran/fastcpd/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/cran/fastcpd/raw/HEAD/README.md",
  "_rundeps": [
    "brio",
    "callr",
    "cli",
    "codetools",
    "crayon",
    "desc",
    "diffobj",
    "evaluate",
    "foreach",
    "fs",
    "glmnet",
    "glue",
    "hms",
    "iterators",
    "jsonlite",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
    "otel",
    "pkgbuild",
    "pkgconfig",
    "pkgload",
    "praise",
    "prettyunits",
    "processx",
    "progress",
    "ps",
    "R6",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "rlang",
    "rprojroot",
    "shape",
    "survival",
    "testthat",
    "vctrs",
    "waldo",
    "withr"
  ],
  "_sysdeps": [
    {
      "shlib": "liblapack",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.26+ds-1ubuntu0.1",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libblas",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.26+ds-1ubuntu0.1",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    },
    {
      "shlib": "libgomp",
      "package": "libgomp1",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "openmp",
      "homepage": "http://gcc.gnu.org/",
      "description": "GCC OpenMP (GOMP) support library"
    }
  ],
  "_vignettes": [
    {
      "source": "examples-advanced.Rmd",
      "filename": "examples-advanced.html",
      "title": "Advanced examples",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Vanilla percentage",
        "Multiple epochs",
        "Notes",
        "Appendix: all code snippets"
      ],
      "created": "2023-12-22 02:43:06",
      "modified": "2025-03-21 02:05:43",
      "commits": 6
    },
    {
      "source": "comparison-packages.Rmd",
      "filename": "comparison-packages.html",
      "title": "Comparison with other R packages",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Data setup",
        "Univariate mean change",
        "Univariate mean and/or variance change",
        "Multivariate mean change",
        "Multivariate mean and/or variance change",
        "Linear regression",
        "Logistic regression",
        "Poisson regression",
        "Lasso",
        "AR(3)",
        "GARCH(1, 1)",
        "VAR(2)",
        "Detection comparison using well_log",
        "Time comparison using well_log",
        "Notes",
        "Related issues",
        "Acknowledgements",
        "Appendix: all code snippets"
      ],
      "created": "2023-12-22 02:43:06",
      "modified": "2025-03-13 23:10:05",
      "commits": 10
    },
    {
      "source": "comparison-pelt.Rmd",
      "filename": "comparison-pelt.html",
      "title": "Comparison with vanilla PELT",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Setup",
        "Logistic regression",
        "Poisson regression",
        "Penalized linear regression",
        "Notes",
        "Appendix: all code snippets"
      ],
      "created": "2023-12-22 02:43:06",
      "modified": "2025-03-13 23:10:05",
      "commits": 5
    },
    {
      "source": "examples-custom-model.Rmd",
      "filename": "examples-custom-model.html",
      "title": "Custom logistic regression model",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Compiled (C++) custom cost functions",
        "Notes",
        "Appendix: all code snippets"
      ],
      "created": "2024-03-13 02:33:31",
      "modified": "2026-06-16 11:38:55",
      "commits": 6
    },
    {
      "source": "exploration-during-development.Rmd",
      "filename": "exploration-during-development.html",
      "title": "Exploration during development",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Exploration of the QMLE method for ARMA models",
        "Notes",
        "Appendix: all code snippets"
      ],
      "created": "2025-03-13 23:10:05",
      "modified": "2025-03-21 02:05:43",
      "commits": 2
    },
    {
      "source": "time-complexity.Rmd",
      "filename": "time-complexity.html",
      "title": "Time Complexity Analysis in fastcpd",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Time Complexity Simulation for fastcpd.mean()",
        "Impact of SeDG in fastcpd.lasso()",
        "Notes",
        "Appendix: all code snippets"
      ],
      "created": "2025-03-13 23:10:05",
      "modified": "2025-03-21 02:05:43",
      "commits": 2
    }
  ],
  "_score": 3.838849090737255,
  "_indexed": false,
  "_nocasepkg": "fastcpd",
  "_universes": [
    "cran"
  ],
  "_indexurl": "https://doccstat.r-universe.dev/fastcpd",
  "_previous": "0.16.2",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-06-16T12:29:38.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "0b583848b2a8e585469c711e4ce161744deef4a2",
      "fileid": "f021a1a62325bba054d90e562b358bb3e55fa63390002de2c7929eda597311ed",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27616779968"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-06-16T12:30:19.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "0b583848b2a8e585469c711e4ce161744deef4a2",
      "fileid": "1a402f49798e90f4683191e2b4683732236b32a396227b2d84f8c853fd63b7c7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27616779968"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-06-16T12:29:28.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "0b583848b2a8e585469c711e4ce161744deef4a2",
      "fileid": "6108e7838b39b0db51736ea59993898f7633b03a6ab93c36d07919d5d2aabc05",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27616779968"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-06-16T12:29:46.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "0b583848b2a8e585469c711e4ce161744deef4a2",
      "fileid": "1381df495f350c7285bc6a903095c9325b3ec10929b4fa9b0ff74368c177a0e3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27616779968"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.0",
      "date": "2026-06-16T12:29:59.000Z",
      "arch": "emscripten",
      "commit": "0b583848b2a8e585469c711e4ce161744deef4a2",
      "fileid": "2ebfd1f464683abd567212af5a07337278f3404586c63c642199e78b96c64648",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27616779968"
    }
  ]
}