{
  "_id": "6a571cefff0138dec5d6de4e",
  "Package": "ddml",
  "Title": "Double/Debiased Machine Learning",
  "Version": "0.9.0",
  "Date": "2026-03-06",
  "Authors@R": "c(\nperson(\"Achim\", \"Ahrens\", role = \"aut\"),\nperson(\"Christian B\", \"Hansen\", role = \"aut\"),\nperson(\"Mark E\", \"Schaffer\", role = \"aut\"),\nperson(\"Thomas\", \"Wiemann\", role = c(\"aut\", \"cre\"), email = \"thomas.wiemann@chicagobooth.edu\"))",
  "Description": "Estimate common causal parameters using double/debiased\nmachine learning as proposed by Chernozhukov et al. (2018)\n<doi:10.1111/ectj.12097>. 'ddml' simplifies estimation based on\n(short-)stacking as discussed in Ahrens et al. (2024)\n<doi:10.1002/jae.3103>, which leverages multiple base learners\nto increase robustness to the underlying data generating\nprocess.",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/thomaswiemann/ddml,\nhttps://thomaswiemann.com/ddml/",
  "BugReports": "https://github.com/thomaswiemann/ddml/issues",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "make",
  "Repository": "https://thomaswiemann.r-universe.dev",
  "Date/Publication": "2026-04-16 20:48:06 UTC",
  "RemoteUrl": "https://github.com/thomaswiemann/ddml",
  "RemoteRef": "HEAD",
  "RemoteSha": "e17f94c63856173f4892d1528d7daf1b0e9562a9",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-15 05:33:48 UTC",
    "User": "root"
  },
  "Author": "Achim Ahrens [aut],\nChristian B Hansen [aut],\nMark E Schaffer [aut],\nThomas Wiemann [aut, cre]",
  "Maintainer": "Thomas Wiemann <thomas.wiemann@chicagobooth.edu>",
  "_user": "thomaswiemann",
  "_type": "src",
  "_file": "ddml_0.9.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/dd0d3046f0d645474ed94fd5fcd188251a81b1bd1ba90867b706e5efaed60c94",
  "_filesize": 655697,
  "_sha256": "dd0d3046f0d645474ed94fd5fcd188251a81b1bd1ba90867b706e5efaed60c94",
  "_expires": "2026-10-23T05:38:53.000Z",
  "_created": "2026-07-15T05:33:48.000Z",
  "_published": "2026-07-15T05:38:55.685Z",
  "_jobs": [
    {
      "job": 87276670420,
      "time": 265,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "8333592925"
    },
    {
      "job": 87276670370,
      "time": 195,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "NOTE",
      "artifact": "8333574957"
    },
    {
      "job": 87276670390,
      "time": 126,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "8333557299"
    },
    {
      "job": 87276670383,
      "time": 109,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "NOTE",
      "artifact": "8333552803"
    },
    {
      "job": 87276188879,
      "time": 221,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8333523484"
    },
    {
      "job": 87276670405,
      "time": 139,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "8333560300"
    },
    {
      "job": 87276670416,
      "time": 154,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "8333565614"
    },
    {
      "job": 87276670387,
      "time": 126,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "8333557304"
    },
    {
      "job": 87276670429,
      "time": 128,
      "config": "windows-release",
      "r": "4.6.1",
      "check": "NOTE",
      "artifact": "8333557866"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/thomaswiemann/actions/runs/29391607858",
  "_status": "success",
  "_upstream": "https://github.com/thomaswiemann/ddml",
  "_commit": {
    "id": "e17f94c63856173f4892d1528d7daf1b0e9562a9",
    "author": "Thomas Wiemann <wiemann@uchicago.edu>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #83 from thomaswiemann/v0.9-withbreakingchanges\n\nV0.9 with many breaking changes",
    "time": 1776372486
  },
  "_maintainer": {
    "name": "Thomas Wiemann",
    "email": "thomas.wiemann@chicagobooth.edu",
    "login": "thomaswiemann",
    "description": "Assistant prof @ Chicago Booth",
    "uuid": 35801592
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.3",
      "role": "Depends"
    },
    {
      "package": "generics",
      "role": "Imports"
    },
    {
      "package": "glmnet",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "nnls",
      "role": "Imports"
    },
    {
      "package": "pbapply",
      "role": "Imports"
    },
    {
      "package": "quadprog",
      "role": "Imports"
    },
    {
      "package": "ranger",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "xgboost",
      "role": "Imports"
    },
    {
      "package": "AER",
      "role": "Suggests"
    },
    {
      "package": "covr",
      "role": "Suggests"
    },
    {
      "package": "CVXR",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "parallel",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "sandwich",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "thomaswiemann",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-50",
      "n": 2
    },
    {
      "week": "2026-16",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "v0.3.1",
      "date": "2025-12-13"
    }
  ],
  "_stars": 24,
  "_contributors": [
    {
      "user": "thomaswiemann",
      "count": 354,
      "uuid": 35801592
    }
  ],
  "_userbio": {
    "uuid": 35801592,
    "type": "user",
    "name": "Thomas Wiemann",
    "followers": 47,
    "description": "Assistant prof @ Chicago Booth"
  },
  "_downloads": {
    "count": 323,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ddml"
  },
  "_devurl": "https://github.com/thomaswiemann/ddml",
  "_pkgdown": "https://thomaswiemann.com/ddml/",
  "_searchresults": 48,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ddml.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/thomaswiemann/ddml",
  "_realowner": "thomaswiemann",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2023-08-29"
    },
    {
      "version": "0.2.0",
      "date": "2024-01-09"
    },
    {
      "version": "0.2.1",
      "date": "2024-05-26"
    },
    {
      "version": "0.2.2",
      "date": "2024-06-27"
    },
    {
      "version": "0.3.0",
      "date": "2024-10-02"
    },
    {
      "version": "0.3.1",
      "date": "2025-12-11"
    }
  ],
  "_exports": [
    "crosspred",
    "crossval",
    "ddml",
    "ddml_apo",
    "ddml_ate",
    "ddml_att",
    "ddml_attgt",
    "ddml_fpliv",
    "ddml_late",
    "ddml_pliv",
    "ddml_plm",
    "ddml_policy",
    "ddml_rep",
    "ddml_replicate",
    "diagnostics",
    "ensemble",
    "ensemble_weights",
    "glance",
    "lincom",
    "lincom_weights_did",
    "mdl_bigGlm",
    "mdl_glm",
    "mdl_glmnet",
    "mdl_ranger",
    "mdl_xgboost",
    "ols",
    "ral",
    "ral_rep",
    "shortstacking",
    "tidy"
  ],
  "_datasets": [
    {
      "name": "AE98",
      "title": "Random Subsample from the Data of Angrist & Evans (1998)",
      "object": "AE98",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "worked",
        "weeksw",
        "hoursw",
        "morekids",
        "samesex",
        "age",
        "agefst",
        "black",
        "hisp",
        "othrace",
        "educ",
        "boy1st",
        "boy2nd"
      ],
      "rows": 5000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "AE98",
      "title": "Random Subsample from the Data of Angrist & Evans (1998)",
      "topics": [
        "AE98"
      ]
    },
    {
      "page": "as.list.ddml",
      "title": "Split a DDML Object by Ensemble Type",
      "topics": [
        "as.list.ddml"
      ]
    },
    {
      "page": "as.list.ddml_rep",
      "title": "Split a ddml_rep Object by Ensemble Type",
      "topics": [
        "as.list.ddml_rep"
      ]
    },
    {
      "page": "as.list.ral",
      "title": "Split a RAL Object by Fit",
      "topics": [
        "as.list.ral"
      ]
    },
    {
      "page": "as.list.ral_rep",
      "title": "Split a RAL Rep Object by Fit",
      "topics": [
        "as.list.ral_rep"
      ]
    },
    {
      "page": "coef.ral",
      "title": "Extract Coefficients from a RAL Object",
      "topics": [
        "coef.ral"
      ]
    },
    {
      "page": "coef.ral_rep",
      "title": "Extract Aggregated Coefficients",
      "topics": [
        "coef.ral_rep"
      ]
    },
    {
      "page": "confint.ral",
      "title": "Confidence Intervals for RAL Estimators",
      "topics": [
        "confint.ral"
      ]
    },
    {
      "page": "confint.ral_rep",
      "title": "Confidence Intervals for RAL Rep Objects",
      "topics": [
        "confint.ral_rep"
      ]
    },
    {
      "page": "crosspred",
      "title": "Cross-Fitted Predictions Using Stacking",
      "concept": [
        "utilities"
      ],
      "topics": [
        "crosspred"
      ]
    },
    {
      "page": "crossval",
      "title": "Estimator of the Mean Squared Prediction Error Using Cross-Validation",
      "concept": [
        "utilities"
      ],
      "topics": [
        "crossval"
      ]
    },
    {
      "page": "ddml",
      "title": "Construct a 'ddml' Object.",
      "concept": [
        "utilities"
      ],
      "topics": [
        "ddml"
      ]
    },
    {
      "page": "ddml_apo",
      "title": "Estimator for the Average Potential Outcome",
      "concept": [
        "ddml estimators"
      ],
      "topics": [
        "ddml_apo"
      ]
    },
    {
      "page": "ddml_ate",
      "title": "Estimator for the Average Treatment Effect",
      "concept": [
        "ddml estimators"
      ],
      "topics": [
        "ddml_ate",
        "ddml_att"
      ]
    },
    {
      "page": "ddml_attgt",
      "title": "Estimator for Group-Time Average Treatment Effects",
      "concept": [
        "ddml estimators"
      ],
      "topics": [
        "ddml_attgt"
      ]
    },
    {
      "page": "ddml_fpliv",
      "title": "Estimator for the Flexible Partially Linear IV Coefficient",
      "concept": [
        "ddml estimators"
      ],
      "topics": [
        "ddml_fpliv"
      ]
    },
    {
      "page": "ddml_late",
      "title": "Estimator for the Local Average Treatment Effect",
      "concept": [
        "ddml estimators"
      ],
      "topics": [
        "ddml_late"
      ]
    },
    {
      "page": "ddml_pliv",
      "title": "Estimator for the Partially Linear IV Coefficient",
      "concept": [
        "ddml estimators"
      ],
      "topics": [
        "ddml_pliv"
      ]
    },
    {
      "page": "ddml_plm",
      "title": "Estimator for the Partially Linear Regression Coefficient",
      "concept": [
        "ddml estimators"
      ],
      "topics": [
        "ddml_plm"
      ]
    },
    {
      "page": "ddml_policy",
      "title": "Estimator for the Multi-Action Policy Value",
      "concept": [
        "ddml estimators"
      ],
      "topics": [
        "ddml_policy"
      ]
    },
    {
      "page": "ddml_rep",
      "title": "Construct a Multi-Resample DDML Object",
      "concept": [
        "ddml replication"
      ],
      "topics": [
        "ddml_rep",
        "print.ddml_rep"
      ]
    },
    {
      "page": "ddml_replicate",
      "title": "Replicate a DDML Estimator Across Multiple Resamples",
      "concept": [
        "ddml replication"
      ],
      "topics": [
        "ddml_replicate"
      ]
    },
    {
      "page": "ddml-intro",
      "title": "Intro to Double/Debiased Machine Learning",
      "concept": [
        "ddml estimators"
      ],
      "topics": [
        "ddml-intro"
      ]
    },
    {
      "page": "diagnostics",
      "title": "Stacking Diagnostics for DDML Estimators",
      "concept": [
        "utilities"
      ],
      "topics": [
        "diagnostics"
      ]
    },
    {
      "page": "ensemble",
      "title": "Stacking Estimator Using Combinations of Base Learners",
      "concept": [
        "utilities"
      ],
      "topics": [
        "ensemble"
      ]
    },
    {
      "page": "ensemble_weights",
      "title": "Compute Stacking Weights for Base Learners",
      "concept": [
        "utilities"
      ],
      "topics": [
        "ensemble_weights"
      ]
    },
    {
      "page": "glance.ddml",
      "title": "Glance at a DDML Object",
      "topics": [
        "glance.ddml"
      ]
    },
    {
      "page": "glance.ddml_rep",
      "title": "Glance at a ddml_rep Object",
      "topics": [
        "glance.ddml_rep"
      ]
    },
    {
      "page": "glance.ral",
      "title": "Glance at a RAL Object",
      "topics": [
        "glance.ral"
      ]
    },
    {
      "page": "glance.ral_rep",
      "title": "Glance at a RAL Rep Object",
      "topics": [
        "glance.ral_rep"
      ]
    },
    {
      "page": "hatvalues.ral",
      "title": "Extract leverage (Hat Values)",
      "topics": [
        "hatvalues.ral"
      ]
    },
    {
      "page": "lincom",
      "title": "Linear Combinations of DDML Coefficients",
      "concept": [
        "ddml inference"
      ],
      "topics": [
        "lincom",
        "lincom.ddml",
        "lincom.ddml_rep",
        "print.lincom",
        "print.lincom_rep"
      ]
    },
    {
      "page": "lincom_weights_did",
      "title": "Difference-in-Differences Aggregation Weights for lincom",
      "topics": [
        "lincom_weights_did"
      ]
    },
    {
      "page": "mdl_bigGLM",
      "title": "Wrapper for glmnet::bigGlm()",
      "concept": [
        "ml_wrapper"
      ],
      "topics": [
        "mdl_bigGlm"
      ]
    },
    {
      "page": "mdl_glm",
      "title": "Wrapper for stats::glm()",
      "concept": [
        "ml_wrapper"
      ],
      "topics": [
        "mdl_glm"
      ]
    },
    {
      "page": "mdl_glmnet",
      "title": "Wrapper for glmnet::glmnet()",
      "concept": [
        "ml_wrapper"
      ],
      "topics": [
        "mdl_glmnet"
      ]
    },
    {
      "page": "mdl_ranger",
      "title": "Wrapper for ranger::ranger()",
      "concept": [
        "ml_wrapper"
      ],
      "topics": [
        "mdl_ranger"
      ]
    },
    {
      "page": "mdl_xgboost",
      "title": "Wrapper for xgboost::xgboost()",
      "concept": [
        "ml_wrapper"
      ],
      "topics": [
        "mdl_xgboost"
      ]
    },
    {
      "page": "nobs.ral",
      "title": "Number of Observations in a RAL Object",
      "topics": [
        "nobs.ral"
      ]
    },
    {
      "page": "ols",
      "title": "Ordinary Least Squares",
      "concept": [
        "ml_wrapper"
      ],
      "topics": [
        "ols"
      ]
    },
    {
      "page": "plot.ral",
      "title": "Plot Coefficients from a RAL Estimator",
      "topics": [
        "plot.ral",
        "plot.ral_rep"
      ]
    },
    {
      "page": "predict.ensemble",
      "title": "Predict Method for 'ensemble' Objects",
      "topics": [
        "predict.ensemble"
      ]
    },
    {
      "page": "predict.mdl_bigGLM",
      "title": "Predict Method for mdl_bigGlm Objects",
      "topics": [
        "predict.mdl_bigGlm"
      ]
    },
    {
      "page": "predict.mdl_glm",
      "title": "Predict Method for mdl_glm Objects",
      "topics": [
        "predict.mdl_glm"
      ]
    },
    {
      "page": "predict.mdl_glmnet",
      "title": "Predict Method for mdl_glmnet Objects",
      "topics": [
        "predict.mdl_glmnet"
      ]
    },
    {
      "page": "predict.mdl_ranger",
      "title": "Predict Method for mdl_ranger Objects",
      "topics": [
        "predict.mdl_ranger"
      ]
    },
    {
      "page": "predict.mdl_xgboost",
      "title": "Predict Method for mdl_xgboost Objects",
      "topics": [
        "predict.mdl_xgboost"
      ]
    },
    {
      "page": "predict.ols",
      "title": "Predict Method for ols Objects",
      "topics": [
        "predict.ols"
      ]
    },
    {
      "page": "print.ddml_diagnostics",
      "title": "Print Stacking Diagnostics",
      "topics": [
        "print.ddml_diagnostics"
      ]
    },
    {
      "page": "ral",
      "title": "Construct a RAL Inference Object",
      "topics": [
        "ral"
      ]
    },
    {
      "page": "ral_rep",
      "title": "Construct a Replicated RAL Inference Object",
      "topics": [
        "ral_rep"
      ]
    },
    {
      "page": "shortstacking",
      "title": "Predictions using Short-Stacking",
      "concept": [
        "utilities"
      ],
      "topics": [
        "shortstacking"
      ]
    },
    {
      "page": "summary.ddml",
      "title": "Summary for DDML Estimators",
      "concept": [
        "ddml inference"
      ],
      "topics": [
        "print.summary.ddml",
        "summary.ddml"
      ]
    },
    {
      "page": "summary.ddml_rep",
      "title": "Summary for ddml_rep Objects",
      "topics": [
        "print.summary.ddml_rep",
        "summary.ddml_rep"
      ]
    },
    {
      "page": "summary.ral",
      "title": "Summary for RAL Estimators",
      "topics": [
        "print.summary.ral",
        "summary.ral"
      ]
    },
    {
      "page": "summary.ral_rep",
      "title": "Summary for RAL Rep Objects",
      "topics": [
        "print.summary.ral_rep",
        "summary.ral_rep"
      ]
    },
    {
      "page": "tidy.ddml",
      "title": "Tidy a DDML Object",
      "topics": [
        "tidy.ddml"
      ]
    },
    {
      "page": "tidy.ddml_diagnostics",
      "title": "Tidy Stacking Diagnostics",
      "topics": [
        "tidy.ddml_diagnostics"
      ]
    },
    {
      "page": "tidy.ddml_rep",
      "title": "Tidy a ddml_rep Object",
      "topics": [
        "tidy.ddml_rep"
      ]
    },
    {
      "page": "tidy.ral",
      "title": "Tidy a RAL Object",
      "topics": [
        "tidy.ral"
      ]
    },
    {
      "page": "tidy.ral_rep",
      "title": "Tidy a RAL Rep Object",
      "topics": [
        "tidy.ral_rep"
      ]
    },
    {
      "page": "vcov.ral",
      "title": "Variance-Covariance Matrix for RAL Estimators",
      "topics": [
        "vcov.ral"
      ]
    },
    {
      "page": "vcov.ral_rep",
      "title": "Variance-Covariance Matrix for RAL Rep Objects",
      "topics": [
        "vcov.ral_rep"
      ]
    }
  ],
  "_readme": "https://github.com/thomaswiemann/ddml/raw/HEAD/README.md",
  "_rundeps": [
    "codetools",
    "data.table",
    "foreach",
    "generics",
    "glmnet",
    "iterators",
    "jsonlite",
    "lattice",
    "MASS",
    "Matrix",
    "nnls",
    "pbapply",
    "quadprog",
    "ranger",
    "Rcpp",
    "RcppEigen",
    "shape",
    "survival",
    "xgboost"
  ],
  "_vignettes": [
    {
      "source": "ddml.Rmd",
      "filename": "ddml.html",
      "title": "Get Started",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Estimation with a Single Machine Learner",
        "Estimation with Multiple Machine Learners & Short-Stacking",
        "Inspecting Learner Performance",
        "Estimation using Different Types of Short-Stacking",
        "Other Causal Models",
        "Robust Inference via Repeated Resampling",
        "Where to Go Next",
        "References"
      ],
      "created": "2023-01-27 16:09:01",
      "modified": "2026-04-16 20:48:06",
      "commits": 9
    }
  ],
  "_score": 6.061452479087193,
  "_indexed": true,
  "_nocasepkg": "ddml",
  "_universes": [
    "thomaswiemann"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.9.0",
      "date": "2026-07-15T05:37:32.000Z",
      "distro": "resolute",
      "commit": "e17f94c63856173f4892d1528d7daf1b0e9562a9",
      "fileid": "https://r2.ropensci.org/ad05d43e76a5bb6a3c3be87d41fc65ce107cc42c60e11fd3f4efdb1434b83c83",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/thomaswiemann/actions/runs/29391607858"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.9.0",
      "date": "2026-07-15T05:36:32.000Z",
      "distro": "resolute",
      "commit": "e17f94c63856173f4892d1528d7daf1b0e9562a9",
      "fileid": "https://r2.ropensci.org/ce7bb6e0c94514b57b94f3460630b07b754410d38251b931cdaca775fa9e15ea",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/thomaswiemann/actions/runs/29391607858"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.9.0",
      "date": "2026-07-15T05:35:31.000Z",
      "commit": "e17f94c63856173f4892d1528d7daf1b0e9562a9",
      "fileid": "https://r2.ropensci.org/2f0d9844d724dc737f01f867729eeb4332bc55d3cee42c985c8fe6fc76a7fbc8",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/thomaswiemann/actions/runs/29391607858"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.9.0",
      "date": "2026-07-15T05:35:22.000Z",
      "commit": "e17f94c63856173f4892d1528d7daf1b0e9562a9",
      "fileid": "https://r2.ropensci.org/afb1b4736d7047dfcd75c21666b8d47ccb19d8faf1966fcd15799ef6c996ffef",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/thomaswiemann/actions/runs/29391607858"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.9.0",
      "date": "2026-07-15T05:36:27.000Z",
      "commit": "e17f94c63856173f4892d1528d7daf1b0e9562a9",
      "fileid": "https://r2.ropensci.org/50bf05ffcbe605554a84fbcabbbaa5ab75d0a72113f50e247cfe135844786843",
      "status": "success",
      "buildurl": "https://github.com/r-universe/thomaswiemann/actions/runs/29391607858"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.9.0",
      "date": "2026-07-15T05:35:49.000Z",
      "commit": "e17f94c63856173f4892d1528d7daf1b0e9562a9",
      "fileid": "https://r2.ropensci.org/08c9e931cdb6aa2a646757512825f0513757a025a21549e5f54b9aec3c321701",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/thomaswiemann/actions/runs/29391607858"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.9.0",
      "date": "2026-07-15T05:35:18.000Z",
      "commit": "e17f94c63856173f4892d1528d7daf1b0e9562a9",
      "fileid": "https://r2.ropensci.org/a105e013c94057b43689d43b470df6b9d89c0a62505bd77a49849453b393dab2",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/thomaswiemann/actions/runs/29391607858"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.9.0",
      "date": "2026-07-15T05:35:08.000Z",
      "commit": "e17f94c63856173f4892d1528d7daf1b0e9562a9",
      "fileid": "https://r2.ropensci.org/57b569dc3869e8f23ab794fe37df9ebc99b5b555ad13678c6001a44eba6c864a",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/thomaswiemann/actions/runs/29391607858"
    }
  ]
}