{ "_id": "6a294337732311cd875ab082", "Package": "stochtree", "Title": "Stochastic Tree Ensembles (XBART and BART) for Supervised\nLearning and Causal Inference", "Version": "0.4.4", "Authors@R": "c(\nperson(\"Drew\", \"Herren\", email = \"drewherrenopensource@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-4109-6611\")),\nperson(\"Richard\", \"Hahn\", role = \"aut\"),\nperson(\"Jared\", \"Murray\", role = \"aut\"),\nperson(\"Carlos\", \"Carvalho\", role = \"aut\"),\nperson(\"Jingyu\", \"He\", role = \"aut\"),\nperson(\"Pedro\", \"Lima\", role = \"ctb\"),\nperson(\"Entejar\", \"Alam\", role = \"ctb\"),\nperson(\"stochtree\", \"contributors\", role = c(\"cph\")),\nperson(\"Eigen\", \"contributors\", role = c(\"cph\"), comment = \"C++ source uses the Eigen library for matrix operations, see inst/COPYRIGHTS\"),\nperson(\"xgboost\", \"contributors\", role = c(\"cph\"), comment = \"C++ tree code and related operations include or are inspired by code from the xgboost library, see inst/COPYRIGHTS\"),\nperson(\"treelite\", \"contributors\", role = c(\"cph\"), comment = \"C++ tree code and related operations include or are inspired by code from the treelite library, see inst/COPYRIGHTS\"),\nperson(\"Microsoft\", \"Corporation\", role = c(\"cph\"), comment = \"C++ I/O and various project structure code include or are inspired by code from the LightGBM library, which is a copyright of Microsoft, see inst/COPYRIGHTS\"),\nperson(\"Niels\", \"Lohmann\", role = c(\"cph\"), comment = \"C++ source uses the JSON for Modern C++ library for JSON operations, see inst/COPYRIGHTS\"),\nperson(\"Daniel\", \"Lemire\", role = c(\"cph\"), comment = \"C++ source uses the fast_double_parser library internally, see inst/COPYRIGHTS\"),\nperson(\"Victor\", \"Zverovich\", role = c(\"cph\"), comment = \"C++ source uses the fmt library internally, see inst/COPYRIGHTS\")\n)", "Copyright": "Copyright details for stochtree's C++ dependencies, which\nare vendored along with the core stochtree source code, are\ndetailed in inst/COPYRIGHTS", "Description": "Flexible stochastic tree ensemble software. Robust\nimplementations of Bayesian Additive Regression Trees (BART)\n(Chipman, George, McCulloch (2010) )\nfor supervised learning and Bayesian Causal Forests (BCF)\n(Hahn, Murray, Carvalho (2020) ) for\ncausal inference. Enables model serialization and parallel\nsampling and provides a low-level interface for custom\nstochastic forest samplers. Includes the grow-from-root\nalgorithm for accelerated forest sampling (He and Hahn (2021)\n), a log-linear leaf model\nfor forest-based heteroskedasticity (Murray (2020)\n), and the cloglog BART\nmodel of Alam and Linero (2025) \nfor ordinal outcomes.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "SystemRequirements": "C++17", "URL": "https://stochtree.ai/, https://github.com/StochasticTree/stochtree", "BugReports": "https://github.com/StochasticTree/stochtree/issues", "Config/testthat/edition": "3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-10 10:51:14 UTC", "User": "root" }, "Author": "Drew Herren [aut, cre] (ORCID:\n), Richard Hahn [aut],\nJared Murray [aut], Carlos Carvalho [aut], Jingyu He [aut],\nPedro Lima [ctb], Entejar Alam [ctb], stochtree contributors\n[cph], Eigen contributors [cph] (C++ source uses the Eigen\nlibrary for matrix operations, see inst/COPYRIGHTS), xgboost\ncontributors [cph] (C++ tree code and related operations\ninclude or are inspired by code from the xgboost library, see\ninst/COPYRIGHTS), treelite contributors [cph] (C++ tree code\nand related operations include or are inspired by code from the\ntreelite library, see inst/COPYRIGHTS), Microsoft Corporation\n[cph] (C++ I/O and various project structure code include or\nare inspired by code from the LightGBM library, which is a\ncopyright of Microsoft, see inst/COPYRIGHTS), Niels Lohmann\n[cph] (C++ source uses the JSON for Modern C++ library for JSON\noperations, see inst/COPYRIGHTS), Daniel Lemire [cph] (C++\nsource uses the fast_double_parser library internally, see\ninst/COPYRIGHTS), Victor Zverovich [cph] (C++ source uses the\nfmt library internally, see inst/COPYRIGHTS)", "Maintainer": "Drew Herren ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-08 22:00:02 UTC", "RemoteUrl": "https://github.com/cran/stochtree", "RemoteRef": "HEAD", "RemoteSha": "41a16d6d0f945d55839368ca2e1eddba7c76f248", "MD5sum": "1d9922bbff0147d711a5e647fe180b5c", "_user": "cran", "_type": "src", "_file": "stochtree_0.4.4.tar.gz", "_fileid": "90071d6d2a8e90a34cb771d5565fe1f040681e89cc7eb79e331781d15825488b", "_filesize": 2016123, "_sha256": "90071d6d2a8e90a34cb771d5565fe1f040681e89cc7eb79e331781d15825488b", "_created": "2026-06-10T10:51:14.000Z", "_published": "2026-06-10T10:57:59.693Z", "_distro": "noble", "_jobs": [ { "job": 80540997857, "time": 262, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7533686593" }, { "job": 80540997975, "time": 236, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7533676841" }, { "job": 80540997926, "time": 255, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7533684522" }, { "job": 80540997882, "time": 258, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7533684454" }, { "job": 80540249605, "time": 262, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7533594369" }, { "job": 80540997873, "time": 203, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7533665720" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/27271011947", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/stochtree", "_commit": { "id": "41a16d6d0f945d55839368ca2e1eddba7c76f248", "author": "Drew Herren ", "committer": "cran-robot ", "message": "version 0.4.4\n", "time": 1780956002 }, "_maintainer": { "name": "Drew Herren", "email": "drewherrenopensource@gmail.com", "login": "andrewherren", "description": "Postdoc at University of Texas at Austin", "uuid": 7383990, "orcid": "0000-0003-4109-6611" }, "_registered": true, "_dependencies": [ { "package": "cpp11", "role": "LinkingTo" }, { "package": "BH", "role": "LinkingTo" }, { "package": "R6", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 2, "_updates": [ { "week": "2025-47", "n": 1 }, { "week": "2025-50", "n": 1 }, { "week": "2026-05", "n": 1 }, { "week": "2026-07", "n": 1 }, { "week": "2026-10", "n": 1 }, { "week": "2026-18", "n": 1 }, { "week": "2026-24", "n": 1 } ], "_tags": [ { "name": "0.2.0", "date": "2025-11-22" }, { "name": "0.2.1", "date": "2025-12-11" }, { "name": "0.3.0", "date": "2026-01-28" }, { "name": "0.3.1", "date": "2026-02-12" }, { "name": "0.4.0", "date": "2026-03-06" }, { "name": "0.4.2", "date": "2026-04-28" }, { "name": "0.4.4", "date": "2026-06-08" } ], "_stars": 0, "_contributors": [ { "user": "andrewherren", "count": 9, "uuid": 7383990 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 680, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/stochtree" }, "_devurl": "https://github.com/stochastictree/stochtree", "_searchresults": 168, "_topics": [ "cpp", "openmp" ], "_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/readme.html", "extra/readme.md", "extra/stochtree.html", "manual.pdf" ], "_homeurl": "https://github.com/stochastictree/stochtree", "_realowner": "stochastictree", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2025-02-07" }, { "version": "0.1.1", "date": "2025-02-08" }, { "version": "0.2.0", "date": "2025-11-22" }, { "version": "0.2.1", "date": "2025-12-11" }, { "version": "0.3.0", "date": "2026-01-28" }, { "version": "0.3.1", "date": "2026-02-16" }, { "version": "0.4.0", "date": "2026-03-06" }, { "version": "0.4.2", "date": "2026-04-28" }, { "version": "0.4.4", "date": "2026-06-08" } ], "_exports": [ "bart", "bcf", "calibrateInverseGammaErrorVariance", "computeBARTPosteriorInterval", "computeBCFPosteriorInterval", "computeContrastBARTModel", "computeContrastBCFModel", "computeForestLeafIndices", "computeForestLeafVariances", "computeForestMaxLeafIndex", "createBARTModelFromCombinedJson", "createBARTModelFromCombinedJsonString", "createBARTModelFromJson", "createBARTModelFromJsonFile", "createBARTModelFromJsonString", "createBCFModelFromCombinedJson", "createBCFModelFromCombinedJsonString", "createBCFModelFromJson", "createBCFModelFromJsonFile", "createBCFModelFromJsonString", "createCppJson", "createCppJsonFile", "createCppJsonString", "createCppRNG", "createForest", "createForestDataset", "createForestModel", "createForestModelConfig", "createForestSamples", "createGlobalModelConfig", "createOutcome", "createPreprocessorFromJson", "createPreprocessorFromJsonString", "createRandomEffectSamples", "createRandomEffectsDataset", "createRandomEffectsModel", "createRandomEffectsTracker", "extractParameter", "getRandomEffectSamples", "loadForestContainerCombinedJson", "loadForestContainerCombinedJsonString", "loadForestContainerJson", "loadRandomEffectSamplesCombinedJson", "loadRandomEffectSamplesCombinedJsonString", "loadRandomEffectSamplesJson", "loadScalarJson", "loadVectorJson", "OutcomeModel", "preprocessPredictionData", "preprocessTrainData", "resetActiveForest", "resetForestModel", "resetRandomEffectsModel", "resetRandomEffectsTracker", "rootResetRandomEffectsModel", "rootResetRandomEffectsTracker", "sample_without_replacement", "sampleBARTPosteriorPredictive", "sampleBCFPosteriorPredictive", "sampleGlobalErrorVarianceOneIteration", "sampleLeafVarianceOneIteration", "saveBARTModelToJson", "saveBARTModelToJsonFile", "saveBARTModelToJsonString", "saveBCFModelToJson", "saveBCFModelToJsonFile", "saveBCFModelToJsonString", "savePreprocessorToJson", "savePreprocessorToJsonString" ], "_help": [ { "page": "stochtree-package", "title": "stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference", "topics": [ "stochtree-package", "stochtree" ] }, { "page": "bart", "title": "Run BART for Supervised Learning", "topics": [ "bart" ] }, { "page": "BARTSerialization", "title": "BART Serialization Routines", "topics": [ "BARTSerialization", "createBARTModelFromCombinedJson", "createBARTModelFromCombinedJsonString", "createBARTModelFromJson", "createBARTModelFromJsonFile", "createBARTModelFromJsonString", "saveBARTModelToJson", "saveBARTModelToJsonFile", "saveBARTModelToJsonString" ] }, { "page": "bcf", "title": "Run BCF for Causal Effect Estimation", "topics": [ "bcf" ] }, { "page": "BCFSerialization", "title": "BCF Serialization Routines", "topics": [ "BCFSerialization", "createBCFModelFromCombinedJson", "createBCFModelFromCombinedJsonString", "createBCFModelFromJson", "createBCFModelFromJsonFile", "createBCFModelFromJsonString", "saveBCFModelToJson", "saveBCFModelToJsonFile", "saveBCFModelToJsonString" ] }, { "page": "calibrateInverseGammaErrorVariance", "title": "Calibrate Inverse Gamma Prior", "topics": [ "calibrateInverseGammaErrorVariance" ] }, { "page": "computeBARTPosteriorInterval", "title": "Compute BART Posterior Credible Intervals", "topics": [ "computeBARTPosteriorInterval" ] }, { "page": "computeBCFPosteriorInterval", "title": "Compute BCF Posterior Credible Intervals", "topics": [ "computeBCFPosteriorInterval" ] }, { "page": "computeContrastBARTModel", "title": "Compute Contrast for BART Model", "topics": [ "computeContrastBARTModel" ] }, { "page": "computeContrastBCFModel", "title": "Compute Contrast for BCF Model", "topics": [ "computeContrastBCFModel" ] }, { "page": "CppJson", "title": "JSON C++ Object Wrapper", "topics": [ "CppJson" ] }, { "page": "CppRNG", "title": "Random Number Generator C++ Wrapper", "topics": [ "CppRNG" ] }, { "page": "createCppRNG", "title": "Create CppRNG Object", "topics": [ "createCppRNG" ] }, { "page": "createForest", "title": "Create Forest Object", "topics": [ "createForest" ] }, { "page": "createForestDataset", "title": "Create ForestDataset Object", "topics": [ "createForestDataset" ] }, { "page": "createForestModel", "title": "Create ForestModel Object", "topics": [ "createForestModel" ] }, { "page": "createForestModelConfig", "title": "Create ForestModelConfig Object", "topics": [ "createForestModelConfig" ] }, { "page": "createForestSamples", "title": "Create ForestSamples Object", "topics": [ "createForestSamples" ] }, { "page": "createGlobalModelConfig", "title": "Create GlobalModelConfig Object", "topics": [ "createGlobalModelConfig" ] }, { "page": "createOutcome", "title": "Create Outcome Object", "topics": [ "createOutcome" ] }, { "page": "createRandomEffectSamples", "title": "Create RandomEffectSamples Object", "topics": [ "createRandomEffectSamples" ] }, { "page": "createRandomEffectsDataset", "title": "Create RandomEffectsDataset Object", "topics": [ "createRandomEffectsDataset" ] }, { "page": "createRandomEffectsModel", "title": "Create RandomEffectsModel Object", "topics": [ "createRandomEffectsModel" ] }, { "page": "createRandomEffectsTracker", "title": "Create RandomEffectsTracker Object", "topics": [ "createRandomEffectsTracker" ] }, { "page": "DataPreprocessing", "title": "Data Preprocessing Routines", "topics": [ "createPreprocessorFromJson", "createPreprocessorFromJsonString", "DataPreprocessing", "preprocessPredictionData", "preprocessTrainData", "savePreprocessorToJson", "savePreprocessorToJsonString" ] }, { "page": "extractParameter", "title": "Extract Parameter Samples Generic Function", "topics": [ "extractParameter" ] }, { "page": "extractParameter.bartmodel", "title": "Extract BART Parameter Samples", "topics": [ "extractParameter.bartmodel" ] }, { "page": "extractParameter.bcfmodel", "title": "Extract BCF Parameter Samples", "topics": [ "extractParameter.bcfmodel" ] }, { "page": "Forest", "title": "Forest C++ Wrapper", "topics": [ "Forest" ] }, { "page": "ForestDataset", "title": "Forest Dataset C++ Wrapper", "topics": [ "ForestDataset" ] }, { "page": "ForestKernelComputation", "title": "Forest Kernel Computation Routines", "topics": [ "computeForestLeafIndices", "computeForestLeafVariances", "computeForestMaxLeafIndex", "ForestKernelComputation" ] }, { "page": "ForestModel", "title": "Forest Model C++ Wrapper", "topics": [ "ForestModel" ] }, { "page": "ForestModelConfig", "title": "Forest Model Configuration Object", "topics": [ "ForestModelConfig" ] }, { "page": "ForestSamples", "title": "Forest Container C++ Wrapper", "topics": [ "ForestSamples" ] }, { "page": "ForestSamplesSerialization", "title": "Forest Container Serialization Routines", "topics": [ "ForestSamplesSerialization", "loadForestContainerCombinedJson", "loadForestContainerCombinedJsonString", "loadForestContainerJson" ] }, { "page": "ForestStateManagement", "title": "Forest State Management Routines", "topics": [ "ForestStateManagement", "resetActiveForest", "resetForestModel" ] }, { "page": "getRandomEffectSamples", "title": "Extract Random Effect Samples Generic Function", "topics": [ "getRandomEffectSamples" ] }, { "page": "getRandomEffectSamples.bartmodel", "title": "Extract Random Effects Samples from BART Model", "topics": [ "getRandomEffectSamples.bartmodel" ] }, { "page": "getRandomEffectSamples.bcfmodel", "title": "Extract Random Effect Samples from BCF Model", "topics": [ "getRandomEffectSamples.bcfmodel" ] }, { "page": "GlobalModelConfig", "title": "Global Model Configuration Object", "topics": [ "GlobalModelConfig" ] }, { "page": "JSONCreation", "title": "JSON Creation Routines", "topics": [ "createCppJson", "createCppJsonFile", "createCppJsonString", "JSONCreation" ] }, { "page": "loadScalarJson", "title": "Load Scalar from JSON", "topics": [ "loadScalarJson" ] }, { "page": "loadVectorJson", "title": "Load Vector from JSON", "topics": [ "loadVectorJson" ] }, { "page": "Outcome", "title": "Outcome Data C++ Wrapper", "topics": [ "Outcome" ] }, { "page": "OutcomeModel", "title": "Create a New Outcome Model Object", "topics": [ "OutcomeModel" ] }, { "page": "plot.bartmodel", "title": "Plot BART Model Fit", "topics": [ "plot.bartmodel" ] }, { "page": "plot.bcfmodel", "title": "Plot BCF Model", "topics": [ "plot.bcfmodel" ] }, { "page": "predict.bartmodel", "title": "Predict from a BART Model", "topics": [ "predict.bartmodel" ] }, { "page": "predict.bcfmodel", "title": "Predict from BCF Model", "topics": [ "predict.bcfmodel" ] }, { "page": "print.bartmodel", "title": "Print Summary of BART Model", "topics": [ "print.bartmodel" ] }, { "page": "print.bcfmodel", "title": "Print Summary of BCF Model", "topics": [ "print.bcfmodel" ] }, { "page": "print.ForestSamples", "title": "Summarize a ForestSamples Object", "topics": [ "print.ForestSamples" ] }, { "page": "print.RandomEffectSamples", "title": "Summarize a RandomEffectSamples Object", "topics": [ "print.RandomEffectSamples" ] }, { "page": "RandomEffectSamples", "title": "Random Effect Container C++ Wrapper", "topics": [ "RandomEffectSamples" ] }, { "page": "RandomEffectSamplesSerialization", "title": "Random Effects Container Serialization Routines", "topics": [ "loadRandomEffectSamplesCombinedJson", "loadRandomEffectSamplesCombinedJsonString", "loadRandomEffectSamplesJson", "RandomEffectSamplesSerialization" ] }, { "page": "RandomEffectsDataset", "title": "Random Effects Dataset C++ Wrapper", "topics": [ "RandomEffectsDataset" ] }, { "page": "RandomEffectsModel", "title": "Random Effects Model C++ Wrapper", "topics": [ "RandomEffectsModel" ] }, { "page": "RandomEffectStateManagement", "title": "Random Effects State Management Routines", "topics": [ "RandomEffectStateManagement", "resetRandomEffectsModel", "resetRandomEffectsTracker", "rootResetRandomEffectsModel", "rootResetRandomEffectsTracker" ] }, { "page": "RandomEffectsTracker", "title": "Random Effects Tracker C++ Wrapper", "topics": [ "RandomEffectsTracker" ] }, { "page": "sample_without_replacement", "title": "Sample Without Replacement", "topics": [ "sample_without_replacement" ] }, { "page": "sampleBARTPosteriorPredictive", "title": "Sample BART Posterior Predictive", "topics": [ "sampleBARTPosteriorPredictive" ] }, { "page": "sampleBCFPosteriorPredictive", "title": "Sample BCF Posterior Predictive", "topics": [ "sampleBCFPosteriorPredictive" ] }, { "page": "sampleGlobalErrorVarianceOneIteration", "title": "Sample Global Error Variance", "topics": [ "sampleGlobalErrorVarianceOneIteration" ] }, { "page": "sampleLeafVarianceOneIteration", "title": "Sample Leaf Scale", "topics": [ "sampleLeafVarianceOneIteration" ] }, { "page": "summary.bartmodel", "title": "Summarize BART Model Fit and Parameters", "topics": [ "summary.bartmodel" ] }, { "page": "summary.bcfmodel", "title": "Summarize BCF Model", "topics": [ "summary.bcfmodel" ] } ], "_readme": "https://github.com/cran/stochtree/raw/HEAD/README.md", "_rundeps": [ "BH", "cpp11", "R6" ], "_sysdeps": [ { "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" } ], "_score": 4.547528576459782, "_indexed": false, "_nocasepkg": "stochtree", "_universes": [ "cran" ], "_indexurl": "https://stochastictree.r-universe.dev/stochtree", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.4.4", "date": "2026-06-10T10:55:09.000Z", "distro": "noble", "arch": "aarch64", "commit": "41a16d6d0f945d55839368ca2e1eddba7c76f248", "fileid": "b5f599996462b24337c745f97913a5b640cafd63c781ec06a7f7dfe6fd71c8e2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27271011947" }, { "r": "4.7.0", "os": "linux", "version": "0.4.4", "date": "2026-06-10T10:54:59.000Z", "distro": "noble", "arch": "x86_64", "commit": "41a16d6d0f945d55839368ca2e1eddba7c76f248", "fileid": "8a5039a00dfbd83abc5f35456bb9e0d6e1deb5fcc7c29cf8b7bf29748d97f7b3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27271011947" }, { "r": "4.6.0", "os": "linux", "version": "0.4.4", "date": "2026-06-10T10:55:03.000Z", "distro": "noble", "arch": "aarch64", "commit": "41a16d6d0f945d55839368ca2e1eddba7c76f248", "fileid": "2c37026264242e2d1ff86c93d0c21c3a4ef3d7d22af2fe2dcb571bdb64651b42", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27271011947" }, { "r": "4.6.0", "os": "linux", "version": "0.4.4", "date": "2026-06-10T10:55:13.000Z", "distro": "noble", "arch": "x86_64", "commit": "41a16d6d0f945d55839368ca2e1eddba7c76f248", "fileid": "85697369dadeab40521ce5546c80281c719bfb3048232da0201db878eb8df53c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27271011947" }, { "r": "4.6.0", "os": "wasm", "version": "0.4.4", "date": "2026-06-10T10:55:13.000Z", "arch": "emscripten", "commit": "41a16d6d0f945d55839368ca2e1eddba7c76f248", "fileid": "7dca227790648f9ffa908fdfd3fa1c3537e42624201048c1162f9eaa21c862f1", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/27271011947" } ] }