{
  "_id": "6acbb8f4fe5cc25786e92dd0",
  "Package": "polle",
  "Title": "Policy Learning",
  "Version": "1.6.7",
  "Authors@R": "c(person(given = \"Andreas\",\nfamily = \"Nordland\",\nrole = c(\"aut\", \"cre\"),\nemail = \"andreasnordland@gmail.com\"),\nperson(given = \"Klaus\",\nfamily = \"Holst\",\nrole = c(\"aut\"),\nemail = \"klaus@holst.it\",\ncomment = c(ORCID=\"0000-0002-1364-6789\"))\n)",
  "Description": "Package for learning and evaluating (subgroup) policies\nvia doubly robust loss functions. Policy learning methods\ninclude doubly robust blip/conditional average treatment effect\nlearning and sequential policy tree learning. Methods for\n(subgroup) policy evaluation include doubly robust\ncross-fitting and online estimation/sequential validation. See\nNordland and Holst (2026) <doi:10.18637/jss.v116.i04> for\ndocumentation and references.",
  "License": "Apache License (>= 2)",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "BugReports": "https://github.com/AndreasNordland/polle/issues",
  "VignetteBuilder": "knitr",
  "Config/roxygen2/version": "8.1.0",
  "Config/pak/sysreqs": "make",
  "Repository": "https://andreasnordland.r-universe.dev",
  "Date/Publication": "2026-10-11 12:53:23 UTC",
  "RemoteUrl": "https://github.com/andreasnordland/polle",
  "RemoteRef": "HEAD",
  "RemoteSha": "e59ffb7d4da8b5f08a678ba157b2c84e16844cac",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-11 15:59:06 UTC",
    "User": "root"
  },
  "Author": "Andreas Nordland [aut, cre],\nKlaus Holst [aut] (ORCID: <https://orcid.org/0000-0002-1364-6789>)",
  "Maintainer": "Andreas Nordland <andreasnordland@gmail.com>",
  "_user": "andreasnordland",
  "_type": "src",
  "_file": "polle_1.6.7.tar.gz",
  "_fileid": "https://r2.ropensci.org/798d819c76a324da80543221ad1776824e9ce9cd431ce771193639f8b32c7670",
  "_filesize": 1022007,
  "_sha256": "798d819c76a324da80543221ad1776824e9ce9cd431ce771193639f8b32c7670",
  "_expires": "2027-01-19T16:27:30.000Z",
  "_created": "2026-10-11T15:59:06.000Z",
  "_published": "2026-10-11T16:27:32.490Z",
  "_buildurl": "https://github.com/r-universe/andreasnordland/actions/runs/38153267635",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
    {
      "job": 114511870212,
      "time": 342,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11707269655"
    },
    {
      "job": 114511870231,
      "time": 336,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11707234592"
    },
    {
      "job": 114511870191,
      "time": 240,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "11707728722"
    },
    {
      "job": 114511870549,
      "time": 313,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11707983313"
    },
    {
      "job": 114510971535,
      "time": 268,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11707208962"
    },
    {
      "job": 114511870269,
      "time": 124,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "11707592060"
    },
    {
      "job": 114511870282,
      "time": 225,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11707747037"
    },
    {
      "job": 114511870268,
      "time": 382,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "11708020700"
    },
    {
      "job": 114511870235,
      "time": 207,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11707523577"
    }
  ],
  "_upstream": "https://github.com/andreasnordland/polle",
  "_commit": {
    "id": "e59ffb7d4da8b5f08a678ba157b2c84e16844cac",
    "author": "Andreas Nordland <andreasnordland@gmail.com>",
    "committer": "Andreas Nordland <andreasnordland@gmail.com>",
    "message": "future suggest\n",
    "time": 1791723203
  },
  "_maintainer": {
    "name": "Andreas Nordland",
    "email": "andreasnordland@gmail.com",
    "login": "andreasnordland",
    "description": "",
    "uuid": 17260430
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1",
      "role": "Depends"
    },
    {
      "package": "data.table",
      "version": ">= 1.14.5",
      "role": "Imports"
    },
    {
      "package": "lava",
      "version": ">= 1.9.2",
      "role": "Imports"
    },
    {
      "package": "future.apply",
      "role": "Imports"
    },
    {
      "package": "progressr",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "policytree",
      "version": ">= 1.2.0",
      "role": "Imports"
    },
    {
      "package": "survival",
      "role": "Imports"
    },
    {
      "package": "targeted",
      "version": ">= 0.8",
      "role": "Imports"
    },
    {
      "package": "DynTxRegime",
      "role": "Imports"
    },
    {
      "package": "DTRlearn2",
      "version": ">= 2.1",
      "role": "Suggests"
    },
    {
      "package": "future",
      "role": "Suggests"
    },
    {
      "package": "glmnet",
      "version": ">= 4.1-6",
      "role": "Suggests"
    },
    {
      "package": "mets",
      "role": "Suggests"
    },
    {
      "package": "mgcv",
      "role": "Suggests"
    },
    {
      "package": "xgboost",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "ranger",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "SuperLearner",
      "version": ">= 2.0-42",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    }
  ],
  "_owner": "andreasnordland",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-44",
      "n": 3
    },
    {
      "week": "2025-45",
      "n": 1
    },
    {
      "week": "2025-49",
      "n": 2
    },
    {
      "week": "2026-19",
      "n": 7
    },
    {
      "week": "2026-20",
      "n": 1
    },
    {
      "week": "2026-27",
      "n": 3
    },
    {
      "week": "2026-28",
      "n": 10
    },
    {
      "week": "2026-32",
      "n": 6
    },
    {
      "week": "2026-33",
      "n": 3
    },
    {
      "week": "2026-34",
      "n": 1
    },
    {
      "week": "2026-39",
      "n": 8
    },
    {
      "week": "2026-41",
      "n": 5
    }
  ],
  "_tags": [],
  "_stars": 7,
  "_contributors": [
    {
      "user": "andreas-nordland",
      "count": 499,
      "uuid": 72131629
    },
    {
      "user": "andreasnordland",
      "count": 97,
      "uuid": 17260430
    },
    {
      "user": "kkholst",
      "count": 89,
      "uuid": 1472304
    },
    {
      "user": "michaelchirico",
      "count": 1,
      "uuid": 7606389
    },
    {
      "user": "peterbruun",
      "count": 1,
      "uuid": 18575263
    }
  ],
  "_userbio": {
    "uuid": 17260430,
    "type": "user",
    "name": "AndreasNordland",
    "followers": 3
  },
  "_downloads": {
    "count": 1695,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/polle"
  },
  "_devurl": "https://github.com/andreasnordland/polle",
  "_searchresults": 14,
  "_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/polle.html",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_homeurl": "https://github.com/andreasnordland/polle",
  "_realowner": "andreasnordland",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1",
      "date": "2022-10-31"
    },
    {
      "version": "1.0",
      "date": "2022-12-06"
    },
    {
      "version": "1.2",
      "date": "2023-02-07"
    },
    {
      "version": "1.3",
      "date": "2023-07-06"
    },
    {
      "version": "1.4",
      "date": "2024-04-25"
    },
    {
      "version": "1.5",
      "date": "2024-09-06"
    },
    {
      "version": "1.6.0",
      "date": "2025-10-30"
    },
    {
      "version": "1.6.1",
      "date": "2025-12-01"
    },
    {
      "version": "1.6.2",
      "date": "2025-12-11"
    },
    {
      "version": "1.6.3",
      "date": "2026-05-05"
    },
    {
      "version": "1.6.4",
      "date": "2026-05-17"
    },
    {
      "version": "1.6.5",
      "date": "2026-09-30"
    },
    {
      "version": "1.6.6",
      "date": "2026-10-10"
    }
  ],
  "_exports": [
    "c_cox",
    "c_no_censoring",
    "conditional",
    "control_blip",
    "control_drql",
    "control_earl",
    "control_owl",
    "control_ptl",
    "control_rwl",
    "copy_policy_data",
    "estimate",
    "fit_c_functions",
    "fit_g_functions",
    "g_empir",
    "g_glm",
    "g_glmnet",
    "g_rf",
    "g_sl",
    "g_xgboost",
    "get_action_set",
    "get_actions",
    "get_event",
    "get_g_functions",
    "get_history",
    "get_history_names",
    "get_id",
    "get_id_stage",
    "get_K",
    "get_n",
    "get_policy",
    "get_policy_actions",
    "get_policy_functions",
    "get_policy_object",
    "get_q_functions",
    "get_stage_action_sets",
    "get_utility",
    "IC",
    "partial",
    "policy_data",
    "policy_def",
    "policy_eval",
    "policy_eval_online",
    "policy_learn",
    "q_glm",
    "q_glmnet",
    "q_rf",
    "q_sl",
    "q_xgboost",
    "sim_multi_stage",
    "sim_single_stage",
    "sim_single_stage_multi_actions",
    "sim_two_stage",
    "sim_two_stage_multi_actions",
    "subset_id"
  ],
  "_help": [
    {
      "page": "c_model",
      "title": "c_model class object",
      "topics": [
        "c_cox",
        "c_model",
        "c_no_censoring"
      ]
    },
    {
      "page": "conditional",
      "title": "Conditional Policy Evaluation",
      "topics": [
        "conditional"
      ]
    },
    {
      "page": "control_blip",
      "title": "Control arguments for doubly robust blip-learning",
      "topics": [
        "control_blip"
      ]
    },
    {
      "page": "control_drql",
      "title": "Control arguments for doubly robust Q-learning",
      "topics": [
        "control_drql"
      ]
    },
    {
      "page": "control_earl",
      "title": "Control arguments for Efficient Augmentation and Relaxation Learning",
      "topics": [
        "control_earl"
      ]
    },
    {
      "page": "control_owl",
      "title": "Control arguments for Outcome Weighted Learning",
      "topics": [
        "control_owl"
      ]
    },
    {
      "page": "control_ptl",
      "title": "Control arguments for Policy Tree Learning",
      "topics": [
        "control_ptl"
      ]
    },
    {
      "page": "control_rwl",
      "title": "Control arguments for Residual Weighted Learning",
      "topics": [
        "control_rwl"
      ]
    },
    {
      "page": "copy_policy_data",
      "title": "Copy Policy Data Object",
      "topics": [
        "copy_policy_data"
      ]
    },
    {
      "page": "fit_c_functions",
      "title": "Fit Censoring Functions",
      "topics": [
        "fit_c_functions"
      ]
    },
    {
      "page": "fit_g_functions",
      "title": "Fit g-functions",
      "topics": [
        "fit_g_functions"
      ]
    },
    {
      "page": "g_model",
      "title": "g_model class object",
      "topics": [
        "g_empir",
        "g_glm",
        "g_glmnet",
        "g_model",
        "g_rf",
        "g_sl",
        "g_xgboost"
      ]
    },
    {
      "page": "get_action_set",
      "title": "Get Action Set",
      "topics": [
        "get_action_set"
      ]
    },
    {
      "page": "get_actions",
      "title": "Get Actions",
      "topics": [
        "get_actions"
      ]
    },
    {
      "page": "get_event",
      "title": "Get event indicators",
      "topics": [
        "get_event"
      ]
    },
    {
      "page": "get_g_functions",
      "title": "Get g-functions",
      "topics": [
        "get_g_functions"
      ]
    },
    {
      "page": "get_history_names",
      "title": "Get history variable names",
      "topics": [
        "get_history_names"
      ]
    },
    {
      "page": "get_id",
      "title": "Get IDs",
      "topics": [
        "get_id"
      ]
    },
    {
      "page": "get_id_stage",
      "title": "Get IDs and Stages",
      "topics": [
        "get_id_stage"
      ]
    },
    {
      "page": "get_K",
      "title": "Get Maximal Stages",
      "topics": [
        "get_K"
      ]
    },
    {
      "page": "get_n",
      "title": "Get Number of Observations",
      "topics": [
        "get_n"
      ]
    },
    {
      "page": "get_policy",
      "title": "Get Policy",
      "topics": [
        "get_policy"
      ]
    },
    {
      "page": "get_policy_actions",
      "title": "Get Policy Actions",
      "topics": [
        "get_policy_actions"
      ]
    },
    {
      "page": "get_policy_functions",
      "title": "Get Policy Functions",
      "topics": [
        "get_policy_functions",
        "get_policy_functions.blip",
        "get_policy_functions.drql",
        "get_policy_functions.ptl",
        "get_policy_functions.ql"
      ]
    },
    {
      "page": "get_policy_object",
      "title": "Get Policy Object",
      "topics": [
        "get_policy_object"
      ]
    },
    {
      "page": "get_q_functions",
      "title": "Get Q-functions",
      "topics": [
        "get_q_functions"
      ]
    },
    {
      "page": "get_stage_action_sets",
      "title": "Get Stage Action Sets",
      "topics": [
        "get_stage_action_sets"
      ]
    },
    {
      "page": "get_utility",
      "title": "Get the Utility",
      "topics": [
        "get_utility"
      ]
    },
    {
      "page": "get_history",
      "title": "Get History Object",
      "topics": [
        "get_history",
        "history"
      ]
    },
    {
      "page": "nuisance_functions",
      "title": "Nuisance Functions",
      "topics": [
        "nuisance_functions"
      ]
    },
    {
      "page": "partial",
      "title": "Trim Number of Stages",
      "topics": [
        "partial"
      ]
    },
    {
      "page": "plot.policy_data",
      "title": "Plot policy data for given policies",
      "topics": [
        "plot.policy_data"
      ]
    },
    {
      "page": "plot.policy_eval",
      "title": "Plot histogram of the influence curve for a 'policy_eval' object",
      "topics": [
        "plot.policy_eval"
      ]
    },
    {
      "page": "policy",
      "title": "Policy-class",
      "topics": [
        "policy"
      ]
    },
    {
      "page": "policy_data",
      "title": "Create Policy Data Object",
      "topics": [
        "policy_data",
        "print.policy_data",
        "summary.policy_data"
      ]
    },
    {
      "page": "policy_def",
      "title": "Define Policy",
      "topics": [
        "policy_def"
      ]
    },
    {
      "page": "policy_eval",
      "title": "Policy Evaluation",
      "topics": [
        "coef.policy_eval",
        "coef.policy_eval_online",
        "estimate.policy_eval",
        "IC.policy_eval",
        "merge.policy_eval",
        "policy_eval",
        "print.policy_eval",
        "summary.policy_eval",
        "summary.policy_eval_online",
        "vcov.policy_eval",
        "vcov.policy_eval_online"
      ]
    },
    {
      "page": "policy_eval_online",
      "title": "Online/Sequential Policy Evaluation",
      "topics": [
        "policy_eval_online"
      ]
    },
    {
      "page": "policy_learn",
      "title": "Create Policy Learner",
      "topics": [
        "policy_learn",
        "policy_object",
        "print.policy_learn",
        "print.policy_object"
      ]
    },
    {
      "page": "predict.nuisance_functions",
      "title": "Predict g-functions and Q-functions",
      "topics": [
        "predict.nuisance_functions"
      ]
    },
    {
      "page": "q_model",
      "title": "q_model class object",
      "topics": [
        "q_glm",
        "q_glmnet",
        "q_model",
        "q_rf",
        "q_sl",
        "q_xgboost"
      ]
    },
    {
      "page": "sim_multi_stage",
      "title": "Simulate Multi-Stage Data",
      "topics": [
        "sim_multi_stage"
      ]
    },
    {
      "page": "sim_single_stage",
      "title": "Simulate Single-Stage Data",
      "topics": [
        "sim_single_stage"
      ]
    },
    {
      "page": "sim_single_stage_multi_actions",
      "title": "Simulate Single-Stage Multi-Action Data",
      "topics": [
        "sim_single_stage_multi_actions"
      ]
    },
    {
      "page": "sim_two_stage",
      "title": "Simulate Two-Stage Data",
      "topics": [
        "sim_two_stage"
      ]
    },
    {
      "page": "sim_two_stage_multi_actions",
      "title": "Simulate Two-Stage Multi-Action Data",
      "topics": [
        "sim_two_stage_multi_actions"
      ]
    },
    {
      "page": "subset_id",
      "title": "Subset Policy Data on ID",
      "topics": [
        "subset_id"
      ]
    }
  ],
  "_pkglogo": "https://github.com/andreasnordland/polle/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/andreasnordland/polle/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "BH",
    "cli",
    "codetools",
    "data.table",
    "dfoptim",
    "DiceKriging",
    "digest",
    "DynTxRegime",
    "future",
    "future.apply",
    "globals",
    "grf",
    "kernlab",
    "lattice",
    "lava",
    "listenv",
    "lmtest",
    "Matrix",
    "mets",
    "modelObj",
    "mvtnorm",
    "numDeriv",
    "parallelly",
    "policytree",
    "progressr",
    "quadprog",
    "R6",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "rgenoud",
    "rlang",
    "sandwich",
    "SQUAREM",
    "survival",
    "targeted",
    "timereg",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "optimal_subgroup.Rmd",
      "filename": "optimal_subgroup.html",
      "title": "Estimating and Evaluating the Optimal Subgroup",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Setup",
        "Threshold policy learning",
        "Subgroup average treatment effect",
        "Asymptotics",
        "References"
      ],
      "created": "2024-07-11 12:44:56",
      "modified": "2024-07-29 12:48:00",
      "commits": 3
    },
    {
      "source": "policy_data.Rmd",
      "filename": "policy_data.html",
      "title": "policy_data",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Single-stage: wide data",
        "Two-stage: wide data",
        "Multi-stage: long data",
        "SessionInfo",
        "References"
      ],
      "created": "2024-04-23 19:07:41",
      "modified": "2025-10-30 11:28:15",
      "commits": 2
    },
    {
      "source": "policy_eval.Rmd",
      "filename": "policy_eval.html",
      "title": "policy_eval",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Evaluating a user-defined policy",
        "Working with policy_eval objects",
        "Nuisance models",
        "Evaluating a policy learning algorithm",
        "Cross-fitting",
        "Parallel processing via future.apply",
        "SessionInfo",
        "References"
      ],
      "created": "2024-04-23 19:07:41",
      "modified": "2026-10-11 12:53:23",
      "commits": 7
    },
    {
      "source": "policy_learn.Rmd",
      "filename": "policy_learn.html",
      "title": "policy_learn",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Specifying and applying a policy learner",
        "Cross-fitting the doubly robust score",
        "Realistic policy learning",
        "Implementation/Simulation and get_policy_functions()",
        "Policy objects and get_policy()",
        "SessionInfo",
        "References"
      ],
      "created": "2024-04-23 19:07:41",
      "modified": "2024-04-23 19:07:41",
      "commits": 1
    },
    {
      "source": "right_censoring.Rmd",
      "filename": "right_censoring.html",
      "title": "Right censoring/monotone coarsening",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Target parameter under discrete time right-censoring/monotone coarsening",
        "Efficient estimation",
        "Adaption to continuous time right-censoring",
        "Terminal events",
        "Examples",
        "References"
      ],
      "created": "2025-10-30 11:28:15",
      "modified": "2025-11-05 08:30:45",
      "commits": 2
    }
  ],
  "_score": 7.2995770242792215,
  "_indexed": true,
  "_nocasepkg": "polle",
  "_universes": [
    "andreasnordland"
  ],
  "_previous": "1.6.6",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.6.7",
      "date": "2026-10-11T16:02:45.000Z",
      "distro": "resolute",
      "commit": "e59ffb7d4da8b5f08a678ba157b2c84e16844cac",
      "fileid": "https://r2.ropensci.org/7bbc4b9a65733c49c4887a147a6f59dabeddac9431b0a2f73abf281856ac6888",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/andreasnordland/actions/runs/38153267635"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.6.7",
      "date": "2026-10-11T16:02:42.000Z",
      "distro": "resolute",
      "commit": "e59ffb7d4da8b5f08a678ba157b2c84e16844cac",
      "fileid": "https://r2.ropensci.org/5082bac8424ab18bd2d574b3a2e6db2b638ec7da4c7654572829a33c69ed0565",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/andreasnordland/actions/runs/38153267635"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.6.7",
      "date": "2026-10-11T16:22:28.000Z",
      "commit": "e59ffb7d4da8b5f08a678ba157b2c84e16844cac",
      "fileid": "https://r2.ropensci.org/bf78f608248e484e32c87291bb95cf3077e2c08187e051dd8765413e2a8882a8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/andreasnordland/actions/runs/38153267635"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.6.7",
      "date": "2026-10-11T16:23:34.000Z",
      "commit": "e59ffb7d4da8b5f08a678ba157b2c84e16844cac",
      "fileid": "https://r2.ropensci.org/7f1dcf0f1a912b10adb71f4bfd0bd98e769757ccf02369a2decb7386fef72db7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/andreasnordland/actions/runs/38153267635"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.6.7",
      "date": "2026-10-11T16:02:37.000Z",
      "commit": "e59ffb7d4da8b5f08a678ba157b2c84e16844cac",
      "fileid": "https://r2.ropensci.org/6d8d60ce10f08216657bdf663575a91d0c99b1bc5268c3b4ae3c60f0ec3134ad",
      "status": "success",
      "buildurl": "https://github.com/r-universe/andreasnordland/actions/runs/38153267635"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.6.7",
      "date": "2026-10-11T16:01:57.000Z",
      "commit": "e59ffb7d4da8b5f08a678ba157b2c84e16844cac",
      "fileid": "https://r2.ropensci.org/8f52980f6c67002284d4669ce5d08b194b99f1065e2ffd0135dda0abee1f0ece",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/andreasnordland/actions/runs/38153267635"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.6.7",
      "date": "2026-10-11T16:02:31.000Z",
      "commit": "e59ffb7d4da8b5f08a678ba157b2c84e16844cac",
      "fileid": "https://r2.ropensci.org/7542f681ad71287b112d9f79981292859a4b97beb0ff2a7dd1ca44d6a0b78dd4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/andreasnordland/actions/runs/38153267635"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.6.7",
      "date": "2026-10-11T16:01:26.000Z",
      "commit": "e59ffb7d4da8b5f08a678ba157b2c84e16844cac",
      "fileid": "https://r2.ropensci.org/5063ef3c15476fa0f3f6b21e89b2811dd45e56d820e2b12a501263736afc1ae6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/andreasnordland/actions/runs/38153267635"
    }
  ]
}