{
  "_id": "6a27a9ee24555f66ed533ed2",
  "Package": "nlmixr2extra",
  "Title": "Nonlinear Mixed Effects Models in Population PK/PD, Extra\nSupport Functions",
  "Version": "5.1.0",
  "Authors@R": "c(\nperson(\"Matthew\", \"Fidler\", email=\"matthew.fidler@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-8538-6691\")),\nperson(\"Vipul\", \"Mann\",email=\"vm2583@columbia.edu\", role = \"aut\"),\nperson(\"Vishal\", \"Sarsani\", email=\"vsarsani@umass.edu\", comment=c(ORCID = \"0000-0002-9272-3438\"), role=\"aut\"),\nperson(\"Christian\", \"Bartels\", email=\"christian.bartels@novartis.com\", role=\"ctb\"),\nperson(\"Bill\", \"Denney\", email=\"wdenney@humanpredictions.com\", role=\"aut\", comment=c(ORCID=\"0000-0002-5759-428X\")),\nperson(\"Omar\", \"Elashkar\", email=\"omar.i.elashkar@gmail.com\", role=\"ctb\", comment=c(ORCID=\"0000-0002-5505-778X\"))\n)",
  "Maintainer": "Matthew Fidler <matthew.fidler@gmail.com>",
  "Description": "Fit and compare nonlinear mixed-effects models in\ndifferential equations with flexible dosing information\ncommonly seen in pharmacokinetics and pharmacodynamics\n(Almquist, Leander, and Jirstrand 2015\n<doi:10.1007/s10928-015-9409-1>). Differential equation solving\nis by compiled C code provided in the 'rxode2' package (Wang,\nHallow, and James 2015 <doi:10.1002/psp4.12052>). This package\nis for support functions like preconditioned fits\n<doi:10.1208/s12248-016-9866-5>, boostrap and stepwise\ncovariate selection.",
  "License": "GPL (>= 3)",
  "URL": "https://nlmixr2.github.io/nlmixr2extra/,\nhttps://github.com/nlmixr2/nlmixr2extra/",
  "BugReports": "https://github.com/nlmixr2/nlmixr2extra/issues/",
  "Biarch": "true",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "NeedsCompilation": "yes",
  "LazyData": "true",
  "Config/roxygen2/version": "8.0.0",
  "Packaged": {
    "Date": "2026-06-07 14:58:20 UTC",
    "User": "root"
  },
  "Author": "Matthew Fidler [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-8538-6691>), Vipul Mann [aut],\nVishal Sarsani [aut] (ORCID:\n<https://orcid.org/0000-0002-9272-3438>), Christian Bartels\n[ctb], Bill Denney [aut] (ORCID:\n<https://orcid.org/0000-0002-5759-428X>), Omar Elashkar [ctb]\n(ORCID: <https://orcid.org/0000-0002-5505-778X>)",
  "Config/pak/sysreqs": "cmake libgmp3-dev make libmpfr-dev",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-06-07 14:24:03 UTC",
  "RemoteUrl": "https://github.com/cran/nlmixr2extra",
  "RemoteRef": "HEAD",
  "RemoteSha": "d3d3c1c59ff80a3e65e5faefbfad168d62d1d512",
  "MD5sum": "8e58b871d6f643aa6be9ad709b2d852b",
  "_user": "cran",
  "_type": "src",
  "_file": "nlmixr2extra_5.1.0.tar.gz",
  "_fileid": "82abfde5a4d694e63e920e5975acb94f53d2be965f2a7da6d6c9fcdac0970202",
  "_filesize": 356279,
  "_sha256": "82abfde5a4d694e63e920e5975acb94f53d2be965f2a7da6d6c9fcdac0970202",
  "_created": "2026-06-07T14:58:20.000Z",
  "_published": "2026-06-09T05:51:42.403Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 80256537035,
      "time": 199,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "FAIL",
      "artifact": ""
    },
    {
      "job": 80256537010,
      "time": 310,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "FAIL",
      "artifact": ""
    },
    {
      "job": 80256537278,
      "time": 202,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7465272007"
    },
    {
      "job": 80256537526,
      "time": 185,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7472933500"
    },
    {
      "job": 80256537388,
      "time": 252,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7465246058"
    },
    {
      "job": 80256537229,
      "time": 173,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7465268043"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/27095941766",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/nlmixr2extra",
  "_commit": {
    "id": "d3d3c1c59ff80a3e65e5faefbfad168d62d1d512",
    "author": "Matthew Fidler <matthew.fidler@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 5.1.0\n",
    "time": 1780842243
  },
  "_maintainer": {
    "name": "Matthew Fidler",
    "email": "matthew.fidler@gmail.com",
    "login": "mattfidler",
    "description": "Also a Novartis employee;  Can reach me at my Novartis email: matt.fidler@novartis.com",
    "uuid": 514778,
    "orcid": "0000-0001-8538-6691"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "checkmate",
      "role": "Imports"
    },
    {
      "package": "cli",
      "version": ">= 3.4.0",
      "role": "Imports"
    },
    {
      "package": "crayon",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
      "package": "digest",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "ggtext",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Imports"
    },
    {
      "package": "lotri",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "nlme",
      "role": "Imports"
    },
    {
      "package": "nlmixr2est",
      "version": ">= 6.0.0",
      "role": "Imports"
    },
    {
      "package": "Rcpp",
      "role": "Imports"
    },
    {
      "package": "rxode2",
      "version": ">= 5.1.0",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "symengine",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "brms",
      "role": "Suggests"
    },
    {
      "package": "nlmixr2data",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "tidyr",
      "role": "Suggests"
    },
    {
      "package": "nlmixr2lib",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "withr",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 6,
  "_updates": [
    {
      "week": "2025-48",
      "n": 1
    },
    {
      "week": "2026-23",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "5.0.0",
      "date": "2025-11-29"
    },
    {
      "name": "5.1.0",
      "date": "2026-06-07"
    }
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "mattfidler",
      "count": 10,
      "uuid": 514778
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 1480,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/nlmixr2extra"
  },
  "_devurl": "https://github.com/nlmixr2/nlmixr2extra",
  "_pkgdown": "https://nlmixr2.github.io/nlmixr2extra/",
  "_searchresults": 19,
  "_topics": [
    "openblas",
    "cpp"
  ],
  "_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/nlmixr2extra.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/nlmixr2/nlmixr2extra",
  "_realowner": "nlmixr2",
  "_cranurl": false,
  "_releases": [
    {
      "version": "2.0.6",
      "date": "2022-05-17"
    },
    {
      "version": "2.0.7",
      "date": "2022-10-20"
    },
    {
      "version": "2.0.8",
      "date": "2022-10-23"
    },
    {
      "version": "2.0.9",
      "date": "2024-01-31"
    },
    {
      "version": "2.0.10",
      "date": "2024-05-29"
    },
    {
      "version": "3.0.0",
      "date": "2024-09-18"
    },
    {
      "version": "3.0.1",
      "date": "2024-10-29"
    },
    {
      "version": "3.0.2",
      "date": "2025-02-17"
    },
    {
      "version": "5.0.0",
      "date": "2025-11-29"
    }
  ],
  "_exports": [
    "aaaNlmixr2ExtraCRAN",
    "adaptivelassoCoefficients",
    "addAllEtas",
    "addCatCovariates",
    "addCovariate",
    "addData2Rx",
    "addorremoveCovariate",
    "adjustedlassoCoefficients",
    "bootplot",
    "bootstrapFit",
    "buildcovInfo",
    "buildupatedUI",
    "covarSearchAuto",
    "fixedControl",
    "foldgen",
    "horseshoeSummardf",
    "iivSearch",
    "ini",
    "isLinearizeMatch",
    "knit_print",
    "lassoCoefficients",
    "lassoSummardf",
    "linearize",
    "linearizeErrorLines",
    "linearizePlot",
    "linModGen",
    "llpControl",
    "model",
    "nlmixr",
    "nlmixr2",
    "nlmixrFormula",
    "nlmixrWithTiming",
    "normalizedData",
    "optimUnisampling",
    "preconditionFit",
    "profileFixed",
    "profileFixedSingle",
    "profileLlp",
    "regularmodel",
    "rerunTopN",
    "resSearch",
    "rxUiDeparse"
  ],
  "_datasets": [
    {
      "name": "theoFitOde",
      "title": "Example single dose Theophylline ODE model",
      "object": "theoFitOde",
      "class": [
        "nlmixr2FitData",
        "nlmixr2FitCore",
        "nlmixr2.focei",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "ID",
        "TIME",
        "DV",
        "PRED",
        "RES",
        "WRES",
        "IPRED",
        "IRES",
        "IWRES",
        "CPRED",
        "CRES",
        "CWRES",
        "eta.ka",
        "eta.cl",
        "eta.v",
        "depot",
        "center",
        "ka",
        "cl",
        "v",
        "tad",
        "dosenum"
      ],
      "rows": 132,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "dot-nlmixrFormulaDataPrep",
      "title": "Perform any required data modifications for the nlmixrFormula interface",
      "topics": [
        ".nlmixrFormulaDataPrep"
      ]
    },
    {
      "page": "dot-nlmixrFormulaExpandStartParam",
      "title": "Expand parameters to include their covariate representations, if applicable.",
      "topics": [
        ".nlmixrFormulaExpandStartParam",
        ".nlmixrFormulaExpandStartParamSingle"
      ]
    },
    {
      "page": "dot-nlmixrFormulaParser",
      "title": "Parse the formula to extract the dependent variable, predictor, and random effects",
      "topics": [
        ".nlmixrFormulaParser"
      ]
    },
    {
      "page": "dot-nlmixrFormulaParserRanef",
      "title": "Parse the random effects part of a formula",
      "topics": [
        ".nlmixrFormulaParserRanef"
      ]
    },
    {
      "page": "dot-nlmixrFormulaSetupIniFixed",
      "title": "Setup the ini() part of the model for fixed effects",
      "topics": [
        ".nlmixrFormulaSetupIniFixed",
        ".nlmixrFormulaSetupIniRandom"
      ]
    },
    {
      "page": "dot-renameOrOverwrite",
      "title": "Rename a column in a dataset",
      "topics": [
        ".renameOrOverwrite"
      ]
    },
    {
      "page": "aaaNlmixr2ExtraCRAN",
      "title": "This function is to set the number of threads to 2",
      "topics": [
        "aaaNlmixr2ExtraCRAN"
      ]
    },
    {
      "page": "adaptivelassoCoefficients",
      "title": "Return Adaptive lasso coefficients after finding optimal t",
      "topics": [
        "adaptivelassoCoefficients"
      ]
    },
    {
      "page": "addAllEtas",
      "title": "Add Individual Random Effects and Fix them to Small Value",
      "topics": [
        "addAllEtas"
      ]
    },
    {
      "page": "addCatCovariates",
      "title": "Make dummy variable cols and updated covarsVec",
      "topics": [
        "addCatCovariates"
      ]
    },
    {
      "page": "addCovariate",
      "title": "Add Covariate to Model Fit (Generic)",
      "topics": [
        "addCovariate",
        "addCovariate.default",
        "addCovariate.nlmixr2FitCore",
        "addCovariate.nlmixr2Linearize",
        "addCovariate.rxUi"
      ]
    },
    {
      "page": "addData2Rx",
      "title": "Add Data to RxUi model",
      "topics": [
        "addData2Rx"
      ]
    },
    {
      "page": "addorremoveCovariate",
      "title": "Add covariate",
      "topics": [
        "addorremoveCovariate"
      ]
    },
    {
      "page": "adjustedlassoCoefficients",
      "title": "Return Adjusted adaptive lasso coefficients after finding optimal t",
      "topics": [
        "adjustedlassoCoefficients"
      ]
    },
    {
      "page": "bootplot",
      "title": "Produce delta objective function for boostrap",
      "topics": [
        "bootplot",
        "bootplot.nlmixr2FitCore"
      ]
    },
    {
      "page": "bootstrapFit",
      "title": "Bootstrap nlmixr2 fit",
      "topics": [
        "bootstrapFit"
      ]
    },
    {
      "page": "buildcovInfo",
      "title": "Build covInfo list from varsVec and covarsVec",
      "topics": [
        "buildcovInfo"
      ]
    },
    {
      "page": "buildupatedUI",
      "title": "Build updated from the covariate and variable vector list",
      "topics": [
        "buildupatedUI"
      ]
    },
    {
      "page": "covarSearchAuto",
      "title": "Stepwise Covariate Model-selection (SCM) method",
      "topics": [
        "covarSearchAuto"
      ]
    },
    {
      "page": "extractEqHelper.if",
      "title": "Generate LaTeX for if blocks",
      "topics": [
        "extractEqHelper.if"
      ]
    },
    {
      "page": "fixedControl",
      "title": "Control options for fixed-value likelihood profiling",
      "concept": [
        "Profiling"
      ],
      "topics": [
        "fixedControl"
      ]
    },
    {
      "page": "foldgen",
      "title": "Stratified cross-validation fold generator function, inspired from the caret",
      "topics": [
        "foldgen"
      ]
    },
    {
      "page": "horseshoeSummardf",
      "title": "Create Horseshoe summary posterior estimates",
      "topics": [
        "horseshoeSummardf"
      ]
    },
    {
      "page": "iivSearch",
      "title": "Automated Inter-Individual Variability Search",
      "topics": [
        "iivSearch",
        "iivSearch.default",
        "iivSearch.nlmixr2Linearize"
      ]
    },
    {
      "page": "isLinearizeMatch",
      "title": "Check Linearization Match",
      "topics": [
        "isLinearizeMatch"
      ]
    },
    {
      "page": "knit_print.nlmixr2FitCore",
      "title": "Extract the equations from an nlmixr2/rxode2 model to produce a 'LaTeX' equation.",
      "topics": [
        "knit_print.nlmixr2FitCore",
        "knit_print.rxUi"
      ]
    },
    {
      "page": "lassoCoefficients",
      "title": "Return Final lasso coefficients after finding optimal t",
      "topics": [
        "lassoCoefficients"
      ]
    },
    {
      "page": "lassoSummardf",
      "title": "Create Lasso summary posterior estimates",
      "topics": [
        "lassoSummardf"
      ]
    },
    {
      "page": "linearize",
      "title": "Perform linearization of a model fitted using FOCEI",
      "topics": [
        "linearize"
      ]
    },
    {
      "page": "linearizePlot",
      "title": "Plot Original Versus Linear Models iObj and Etas",
      "topics": [
        "linearizePlot"
      ]
    },
    {
      "page": "linModGen",
      "title": "Generate a Linearization Model From Previous Fit",
      "topics": [
        "linModGen"
      ]
    },
    {
      "page": "llpControl",
      "title": "Control options for log-likelihood profiling",
      "concept": [
        "Profiling"
      ],
      "topics": [
        "llpControl"
      ]
    },
    {
      "page": "nlmixrFormula",
      "title": "A simple formula-based interface for nlmixr2",
      "topics": [
        "nlmixrFormula"
      ]
    },
    {
      "page": "normalizedData",
      "title": "Function to return data of normalized covariates",
      "topics": [
        "normalizedData"
      ]
    },
    {
      "page": "optimUnisampling",
      "title": "Sample from uniform distribution by optim",
      "topics": [
        "optimUnisampling"
      ]
    },
    {
      "page": "preconditionFit",
      "title": "Linearly re-parameterize the model to be less sensitive to rounding errors",
      "topics": [
        "preconditionFit"
      ]
    },
    {
      "page": "print.linIIVSearch",
      "title": "Print Summary Table For Linearized IIV Search",
      "topics": [
        "print.linIIVSearch"
      ]
    },
    {
      "page": "profile.nlmixr2FitCore",
      "title": "Perform likelihood profiling on nlmixr2 focei fits",
      "concept": [
        "Profiling"
      ],
      "topics": [
        "profile.nlmixr2FitCore"
      ]
    },
    {
      "page": "profileFixed",
      "title": "Estimate the objective function values for a model while fixing defined parameter values",
      "concept": [
        "Profiling"
      ],
      "topics": [
        "profileFixed",
        "profileFixedSingle"
      ]
    },
    {
      "page": "profileLlp",
      "title": "Profile confidence intervals with log-likelihood profiling",
      "concept": [
        "Profiling"
      ],
      "topics": [
        "profileLlp"
      ]
    },
    {
      "page": "profileNlmixr2FitCoreRet",
      "title": "Give the output data.frame for a single model for profile.nlmixr2FitCore",
      "concept": [
        "Profiling"
      ],
      "topics": [
        "profileNlmixr2FitCoreRet"
      ]
    },
    {
      "page": "regularmodel",
      "title": "Regular lasso model",
      "topics": [
        "regularmodel"
      ]
    },
    {
      "page": "rerunTopN",
      "title": "Rerun Top N Original Models From A Search",
      "topics": [
        "rerunTopN",
        "rerunTopN.linIIVSearch"
      ]
    },
    {
      "page": "resSearch",
      "title": "Exhaustively Search for Residual Error Model",
      "topics": [
        "resSearch"
      ]
    },
    {
      "page": "theoFitOde",
      "title": "Example single dose Theophylline ODE model",
      "topics": [
        "theoFitOde"
      ]
    }
  ],
  "_readme": "https://github.com/cran/nlmixr2extra/raw/HEAD/README.md",
  "_rundeps": [
    "armadillo4r",
    "backports",
    "BH",
    "cachem",
    "checkmate",
    "cli",
    "commonmark",
    "cpp11",
    "cpp4r",
    "crayon",
    "curl",
    "data.table",
    "desc",
    "digest",
    "dparser",
    "dplyr",
    "evaluate",
    "farver",
    "fastmap",
    "generics",
    "ggplot2",
    "ggtext",
    "glue",
    "gridtext",
    "gtable",
    "highr",
    "inline",
    "isoband",
    "jpeg",
    "knitr",
    "labeling",
    "lattice",
    "lbfgsb3c",
    "lifecycle",
    "litedown",
    "lotri",
    "magrittr",
    "markdown",
    "Matrix",
    "memoise",
    "minqa",
    "n1qn1",
    "nlme",
    "nlmixr2data",
    "nlmixr2est",
    "numDeriv",
    "pillar",
    "pkgconfig",
    "png",
    "PreciseSums",
    "qs2",
    "R6",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "RcppParallel",
    "rex",
    "rlang",
    "rxode2",
    "rxode2ll",
    "S7",
    "scales",
    "sitmo",
    "StanHeaders",
    "stringfish",
    "stringi",
    "stringr",
    "symengine",
    "sys",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "xml2",
    "yaml"
  ],
  "_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"
    }
  ],
  "_score": 3.7042878214510924,
  "_indexed": false,
  "_nocasepkg": "nlmixr2extra",
  "_universes": [
    "cran"
  ],
  "_indexurl": "https://nlmixr2.r-universe.dev/nlmixr2extra",
  "_binaries": [
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "5.1.0",
      "date": "2026-06-07T15:01:27.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "d3d3c1c59ff80a3e65e5faefbfad168d62d1d512",
      "fileid": "d714f82c20fe2177346054c40ec0243530ffe30138e579469131602b07a33f4d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27095941766"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "5.1.0",
      "date": "2026-06-08T06:22:25.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "d3d3c1c59ff80a3e65e5faefbfad168d62d1d512",
      "fileid": "b23a288c766c3df2b2a3c3d0cdc9bd1f688dcf40121eef869592af930407e27a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27095941766"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "5.1.0",
      "date": "2026-06-07T15:01:35.000Z",
      "arch": "emscripten",
      "commit": "d3d3c1c59ff80a3e65e5faefbfad168d62d1d512",
      "fileid": "05785df36fdae9c8ef83735cbbe3bf118c49a76fcc44cff249ad6d6ff5e19654",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27095941766"
    }
  ]
}