{ "_id": "6a1014e6acfb0bcc41c83d49", "Package": "funcml", "Type": "Package", "Title": "Functional Machine Learning Framework", "Version": "0.7.2", "Authors@R": "c(\nperson(given = \"Imad\", family = \"El Badisy\", role = c(\"aut\", \"cre\"), email = \"elbadisyimad@gmail.com\")\n)", "Author": "Imad El Badisy", "Maintainer": "Imad El Badisy ", "Description": "A compact and explicit machine learning framework for\nsupervised learning, resampling-based evaluation,\nhyperparameter tuning, learner comparison, interpretation, and\nplug-in g-computation. The package uses standard formulas for\nmodel specification and provides stable S3 interfaces for\nfitting, evaluation, tuning, interpretation, and causal\nestimation across a learner registry with multiple backend\nengines. Implemented interpretation methods build on\nestablished approaches such as permutation-based variable\nimportance, partial dependence, individual conditional\nexpectation, accumulated local effects, SHAP, and LIME; see\nFriedman (2001) , Goldstein et al.\n(2015) , Apley and Zhu (2020)\n, Lundberg and Lee (2017)\n, and Ribeiro et al. (2016)\n. The framework is intentionally\nopinionated: preprocessing is expected to occur outside the\nmodeling step, and the API emphasizes explicit inputs,\nconsistent object contracts, and compact interfaces rather than\nfeature-by-feature competition with larger machine learning\necosystems.", "License": "GPL-3", "URL": "https://github.com/ielbadisy/funcml", "BugReports": "https://github.com/ielbadisy/funcml/issues", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Repository": "https://ielbadisy.r-universe.dev", "Date/Publication": "2026-05-14 08:08:31 UTC", "RemoteUrl": "https://github.com/ielbadisy/funcml", "RemoteRef": "HEAD", "RemoteSha": "76863107351af812f041a94b20ecbe0e42066a79", "Packaged": { "Date": "2026-05-14 10:19:28 UTC", "User": "root" }, "MD5sum": "c12e99b3781a7e9ecf17d3d3525496b2", "_user": "ielbadisy", "_type": "src", "_file": "funcml_0.7.2.tar.gz", "_fileid": "b1cfbcdd423c5b3a27f3682b1c098083a617914449b8bed496540b6a840c4dec", "_filesize": 1350328, "_sha256": "b1cfbcdd423c5b3a27f3682b1c098083a617914449b8bed496540b6a840c4dec", "_created": "2026-05-14T10:19:28.000Z", "_published": "2026-05-22T08:33:42.775Z", "_distro": "noble", "_jobs": [ { "job": 77344443185, "time": 190, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "ERROR", "artifact": "7010796418" }, { "job": 77344442975, "time": 170, "config": "linux-release-x86_64", "r": "4.6.0", "check": "ERROR", "artifact": "7010792888" }, { "job": 77344442869, "time": 178, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "ERROR", "artifact": "7011054665" }, { "job": 77344442926, "time": 173, "config": "macos-release-arm64", "r": "4.6.0", "check": "ERROR", "artifact": "7011053549" }, { "job": 77344442850, "time": 291, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6992176990" }, { "job": 77344442520, "time": 135, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7156242919" }, { "job": 77344442852, "time": 139, "config": "windows-devel", "r": "4.7.0", "check": "ERROR", "artifact": "7010787112" }, { "job": 77344443422, "time": 144, "config": "windows-oldrel", "r": "4.5.3", "check": "ERROR", "artifact": "7010787822" }, { "job": 77344443283, "time": 134, "config": "windows-release", "r": "4.6.0", "check": "ERROR", "artifact": "7010786281" } ], "_buildurl": "https://github.com/r-universe/ielbadisy/actions/runs/25854549965", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/ielbadisy/funcml", "_commit": { "id": "76863107351af812f041a94b20ecbe0e42066a79", "author": "Imad EL BADISY ", "committer": "GitHub ", "message": "Merge pull request #36 from ielbadisy/reduce-backend-install-weight\n\nMake learner backends optional", "time": 1778746111 }, "_maintainer": { "name": "Imad El Badisy", "email": "elbadisyimad@gmail.com", "login": "ielbadisy", "uuid": 52789515 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "functionals", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "tools", "role": "Imports" }, { "package": "testthat", "version": ">= 3.1.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "roxygen2", "role": "Suggests" }, { "package": "gggenes", "role": "Suggests" }, { "package": "ggfittext", "role": "Suggests" }, { "package": "MASS", "role": "Suggests" }, { "package": "mgcv", "role": "Suggests" }, { "package": "nnet", "role": "Suggests" }, { "package": "rpart", "role": "Suggests" }, { "package": "glmnet", "role": "Suggests" }, { "package": "ranger", "role": "Suggests" }, { "package": "e1071", "role": "Suggests" }, { "package": "randomForest", "role": "Suggests" }, { "package": "gbm", "role": "Suggests" }, { "package": "C50", "role": "Suggests" }, { "package": "kknn", "role": "Suggests" }, { "package": "earth", "role": "Suggests" }, { "package": "naivebayes", "role": "Suggests" }, { "package": "mda", "role": "Suggests" }, { "package": "ada", "role": "Suggests" }, { "package": "pls", "role": "Suggests" }, { "package": "partykit", "role": "Suggests" }, { "package": "dbarts", "role": "Suggests" }, { "package": "torch", "role": "Suggests" }, { "package": "xgboost", "role": "Suggests" }, { "package": "lightgbm", "role": "Suggests" }, { "package": "shapviz", "role": "Suggests" } ], "_owner": "ielbadisy", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-12", "n": 19 }, { "week": "2026-13", "n": 60 }, { "week": "2026-14", "n": 15 }, { "week": "2026-15", "n": 14 }, { "week": "2026-16", "n": 12 }, { "week": "2026-17", "n": 11 }, { "week": "2026-20", "n": 2 } ], "_tags": [ { "name": "v0.7.0", "date": "2026-04-09" }, { "name": "v0.7.1", "date": "2026-04-09" } ], "_topics": [ "classification", "g-computation", "interpretable-machine-learning", "machine-learning", "regression", "tabular-data" ], "_stars": 0, "_contributors": [ { "user": "ielbadisy", "count": 191, "uuid": 52789515 } ], "_userbio": { "uuid": 52789515, "type": "user", "name": "Imad EL BADISY ", "description": "PhD, Research Engineer in Biostatistics | Health Data Scientist" }, "_downloads": { "count": 355, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/funcml" }, "_devurl": "https://github.com/ielbadisy/funcml", "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/funcml.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/ielbadisy/funcml", "_realowner": "ielbadisy", "_cranurl": true, "_releases": [ { "version": "0.7.1", "date": "2026-04-21" } ], "_exports": [ "accuracy", "auc", "auc_weighted", "balanced_accuracy", "brier", "calibration_curve", "compare_learners", "cv", "ece", "estimate", "evaluate", "f1", "fit", "group_cv", "holdout", "interpret", "learners", "list_interpretability_methods", "list_learners", "list_metrics", "list_tunable_learners", "logloss", "mae", "mape", "mce", "medae", "mse", "precision", "recall", "rmse", "rsq", "specificity", "theme_funcml", "time_cv", "tune" ], "_datasets": [ { "name": "arthritis", "title": "Arthritis survey data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "id", "status", "heart_attack_relative", "gender", "age", "bmi", "diabetes", "alcohol", "smoke", "prehypertension", "vegetarian", "covered_health" ], "rows": 4856, "table": true, "tojson": true }, { "name": "bangladeshmaternalrisk", "title": "Bangladesh maternal risk data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "age", "systolic_bp", "diastolic", "bs", "body_temp", "bmi", "previous_complications", "preexisting_diabetes", "gestational_diabetes", "mental_health", "heart_rate", "risk_level" ], "rows": 1205, "table": true, "tojson": true }, { "name": "birthweight", "title": "Birth weight data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "age", "lwt", "race", "smoke", "ptl", "ht", "ui", "ftv", "birth_weight_g", "low_birth_weight" ], "rows": 189, "table": true, "tojson": true }, { "name": "breastcancerdiagnostic", "title": "Breast cancer diagnostic data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "radius_mean", "texture_mean", "perimeter_mean", "area_mean", "smoothness_mean", "compactness_mean", "concavity_mean", "concave_pts_mean", "symmetry_mean", "fractal_dim_mean", "radius_se", "texture_se", "perimeter_se", "area_se", "smoothness_se", "compactness_se", "concavity_se", "concave_pts_se", "symmetry_se", "fractal_dim_se", "radius_worst", "texture_worst", "perimeter_worst", "area_worst", "smoothness_worst", "compactness_worst", "concavity_worst", "concave_pts_worst", "symmetry_worst", "fractal_dim_worst", "diagnosis" ], "rows": 569, "table": true, "tojson": true }, { "name": "breastcancerwisconsin", "title": "Wisconsin breast cancer data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "clump_thickness", "uniformity_cell_size", "uniformity_cell_shape", "marginal_adhesion", "single_epithelial_cell_size", "bare_nuclei", "bland_chromatin", "normal_nucleoli", "mitoses", "class" ], "rows": 699, "table": true, "tojson": true }, { "name": "cancerremission", "title": "Cancer remission data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "li", "m", "remission" ], "rows": 27, "table": true, "tojson": true }, { "name": "cd4counts", "title": "CD4 follow-up data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "baseline", "oneyear" ], "rows": 20, "table": true, "tojson": true }, { "name": "cigsmoke", "title": "Youth tobacco survey data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "final_wgt", "age", "gender", "income", "parent_work", "father_education", "mother_education", "living_env", "age_first_cig", "cigar_use", "noncig_use", "smokeless_use", "parent_smoke", "friends_smoke", "home_shs", "outside_shs", "indoor_ban", "outdoor_ban", "antitobacco_media", "antitobacco_school", "tobacco_media", "offer_freetobacco", "own_items", "knowledge_harm", "e_cig", "stratum", "psu" ], "rows": 3915, "table": true, "tojson": true }, { "name": "doctorvisits", "title": "Doctor visits data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "visits", "gender", "age", "income", "illness", "reduced", "health", "private", "freepoor", "freerepat", "nchronic", "lchronic" ], "rows": 5190, "table": true, "tojson": true }, { "name": "haberman", "title": "Haberman survival data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "age", "operation_year", "positive_axillary_nodes", "survival_status" ], "rows": 306, "table": true, "tojson": true }, { "name": "heartdisease", "title": "Heart disease patient data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "age", "sex", "chest_pain", "bp", "cholesterol", "blood_sugar", "maximum_hr", "exercise_induced_angina", "heart_disease" ], "rows": 303, "table": true, "tojson": true }, { "name": "heartfailure", "title": "Heart failure data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "age", "anaemia", "creatinine_phosphokinase", "diabetes", "ejection_fraction", "high_blood_pressure", "platelets", "serum_creatinine", "serum_sodium", "sex", "smoking", "time", "death_event" ], "rows": 299, "table": true, "tojson": true }, { "name": "infantmortality", "title": "Infant mortality data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "country", "income", "infant", "region", "oil" ], "rows": 105, "table": true, "tojson": true }, { "name": "ketapain", "title": "Ketamine pain management data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "patient_id", "sexe", "age", "av_dose", "level_dose", "cum_dose", "cum_days", "perfusion", "cost", "qaly", "mode" ], "rows": 184, "table": true, "tojson": true }, { "name": "mammography", "title": "Mammography calcification data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "attr1", "attr2", "attr3", "attr4", "attr5", "attr6", "class" ], "rows": 11183, "table": true, "tojson": true }, { "name": "newthyroid", "title": "Thyroid function data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "t3_resin_uptake", "total_serum_thyroxin", "total_serum_triiodothyronine", "basal_tsh", "max_abs_tsh_diff", "class" ], "rows": 215, "table": true, "tojson": true }, { "name": "pimadiabetes", "title": "Pima diabetes data", "object": "funcml_datasets", "class": [ "data.frame" ], "fields": [ "npreg", "glu", "bp", "skin", "bmi", "ped", "age", "diabetes", "split" ], "rows": 532, "table": true, "tojson": true } ], "_help": [ { "page": "arthritis", "title": "Arthritis survey data", "topics": [ "arthritis" ] }, { "page": "bangladeshmaternalrisk", "title": "Bangladesh maternal risk data", "topics": [ "bangladeshmaternalrisk" ] }, { "page": "birthweight", "title": "Birth weight data", "topics": [ "birthweight" ] }, { "page": "breastcancerdiagnostic", "title": "Breast cancer diagnostic data", "topics": [ "breastcancerdiagnostic" ] }, { "page": "breastcancerwisconsin", "title": "Wisconsin breast cancer data", "topics": [ "breastcancerwisconsin" ] }, { "page": "cancerremission", "title": "Cancer remission data", "topics": [ "cancerremission" ] }, { "page": "cd4counts", "title": "CD4 follow-up data", "topics": [ "cd4counts" ] }, { "page": "cigsmoke", "title": "Youth tobacco survey data", "topics": [ "cigsmoke" ] }, { "page": "compare_learners", "title": "Compare multiple learners with optional tuning.", "topics": [ "compare_learners" ] }, { "page": "compare-methods", "title": "Methods for learner comparison results.", "topics": [ "compare-methods", "plot.funcml_compare", "print.funcml_compare", "summary.funcml_compare" ] }, { "page": "cv", "title": "Resampling specification generator.", "topics": [ "cv" ] }, { "page": "doctorvisits", "title": "Doctor visits data", "topics": [ "doctorvisits" ] }, { "page": "estimate", "title": "Causal effect estimation via plug-in g-computation.", "topics": [ "estimate" ] }, { "page": "estimate-methods", "title": "Methods for causal estimand results.", "topics": [ "estimate-methods", "plot.funcml_estimand", "print.funcml_estimand", "summary.funcml_estimand" ] }, { "page": "evaluate", "title": "Cross-validated evaluation.", "topics": [ "evaluate" ] }, { "page": "evaluate-methods", "title": "Methods for cross-validation results.", "topics": [ "evaluate-methods", "plot.funcml_eval", "print.funcml_eval", "summary.funcml_eval" ] }, { "page": "fit", "title": "Fit a model using the funcml interface.", "topics": [ "fit" ] }, { "page": "fit-methods", "title": "Methods for fitted funcml models.", "topics": [ "coef.funcml_fit", "fit-methods", "predict.funcml_fit", "print.funcml_fit", "summary.funcml_fit" ] }, { "page": "group_cv", "title": "Grouped cross-validation.", "topics": [ "group_cv" ] }, { "page": "haberman", "title": "Haberman survival data", "topics": [ "haberman" ] }, { "page": "heartdisease", "title": "Heart disease patient data", "topics": [ "heartdisease" ] }, { "page": "heartfailure", "title": "Heart failure data", "topics": [ "heartfailure" ] }, { "page": "holdout", "title": "Plain holdout resampling.", "topics": [ "holdout" ] }, { "page": "infantmortality", "title": "Infant mortality data", "topics": [ "infantmortality" ] }, { "page": "interpret", "title": "Model-agnostic interpretation (global + local).", "topics": [ "interpret" ] }, { "page": "interpret-ale-methods", "title": "ALE result methods.", "topics": [ "interpret-ale-methods", "plot.funcml_ale", "print.funcml_ale", "summary.funcml_ale" ] }, { "page": "interpret-calibration-methods", "title": "Calibration result methods.", "topics": [ "interpret-calibration-methods", "plot.funcml_calibration", "print.funcml_calibration", "summary.funcml_calibration" ] }, { "page": "interpret-ice-methods", "title": "ICE result methods.", "topics": [ "interpret-ice-methods", "plot.funcml_ice", "print.funcml_ice", "summary.funcml_ice" ] }, { "page": "interpret-interaction-methods", "title": "Interaction result methods.", "topics": [ "interpret-interaction-methods", "plot.funcml_interaction", "print.funcml_interaction", "summary.funcml_interaction" ] }, { "page": "interpret-local-methods", "title": "Local surrogate result methods.", "topics": [ "interpret-local-methods", "plot.funcml_local", "print.funcml_local", "summary.funcml_local" ] }, { "page": "interpret-local-model-methods", "title": "Local surrogate result methods for 'local_model' and 'lime'.", "topics": [ "interpret-local-model-methods", "plot.funcml_iml_local_model", "plot.funcml_lime", "print.funcml_iml_local_model", "summary.funcml_iml_local_model" ] }, { "page": "interpret-pdp-methods", "title": "Partial dependence result methods.", "topics": [ "interpret-pdp-methods", "plot.funcml_pdp", "print.funcml_pdp", "summary.funcml_pdp" ] }, { "page": "interpret-permute-methods", "title": "Permutation importance result methods.", "topics": [ "interpret-permute-methods", "plot.funcml_permute", "print.funcml_permute", "summary.funcml_permute" ] }, { "page": "interpret-shap-methods", "title": "SHAP result methods.", "topics": [ "interpret-shap-methods", "plot.funcml_shap", "print.funcml_shap", "summary.funcml_shap" ] }, { "page": "interpret-surrogate-methods", "title": "Global surrogate result methods.", "topics": [ "interpret-surrogate-methods", "plot.funcml_surrogate", "print.funcml_surrogate", "summary.funcml_surrogate" ] }, { "page": "ketapain", "title": "Ketamine pain management data", "topics": [ "ketapain" ] }, { "page": "learners", "title": "Available learners.", "topics": [ "learners" ] }, { "page": "list_interpretability_methods", "title": "List available interpretability methods.", "topics": [ "list_interpretability_methods" ] }, { "page": "list_learners", "title": "Learner inventory table with capabilities.", "topics": [ "list_learners" ] }, { "page": "list_metrics", "title": "List available metrics used in scoring and resampling summaries.", "topics": [ "list_metrics" ] }, { "page": "list_tunable_learners", "title": "Shortcut for learners with tuning support.", "topics": [ "list_tunable_learners" ] }, { "page": "mammography", "title": "Mammography calcification data", "topics": [ "mammography" ] }, { "page": "metrics", "title": "Regression and classification metrics.", "topics": [ "accuracy", "auc", "auc_weighted", "balanced_accuracy", "brier", "calibration_curve", "ece", "f1", "logloss", "mae", "mape", "mce", "medae", "metrics", "mse", "precision", "recall", "rmse", "rsq", "specificity" ] }, { "page": "newthyroid", "title": "Thyroid function data", "topics": [ "newthyroid" ] }, { "page": "pimadiabetes", "title": "Pima diabetes data", "topics": [ "pimadiabetes" ] }, { "page": "theme_funcml", "title": "FuncML plotting theme.", "topics": [ "theme_funcml" ] }, { "page": "time_cv", "title": "Time-aware rolling resampling.", "topics": [ "time_cv" ] }, { "page": "tune", "title": "Hyperparameter tuning via grid or random search.", "topics": [ "tune" ] }, { "page": "tune-methods", "title": "Methods for tuning results.", "topics": [ "plot.funcml_tune", "print.funcml_tune", "summary.funcml_tune", "tune-methods" ] } ], "_readme": "https://github.com/ielbadisy/funcml/raw/HEAD/README.md", "_rundeps": [ "cli", "cpp11", "farver", "functionals", "ggplot2", "glue", "gtable", "isoband", "labeling", "lifecycle", "R6", "RColorBrewer", "rlang", "S7", "scales", "vctrs", "viridisLite", "withr" ], "_vignettes": [ { "source": "funcml.Rmd", "filename": "funcml.html", "title": "funcml", "engine": "knitr::rmarkdown", "headings": [], "created": "2026-03-17 00:20:51", "modified": "2026-04-11 10:50:05", "commits": 9 } ], "_score": 4.544068044350276, "_indexed": true, "_nocasepkg": "funcml", "_universes": [ "ielbadisy" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.7.2", "date": "2026-05-15T05:36:56.000Z", "distro": "noble", "commit": "76863107351af812f041a94b20ecbe0e42066a79", "fileid": "6557292510ffd3142b1fda7f2d32e5dc30b3e86c7c42ff2a98a55e0ea2119944", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/ielbadisy/actions/runs/25854549965" }, { "r": "4.6.0", "os": "linux", "version": "0.7.2", "date": "2026-05-15T05:36:50.000Z", "distro": "noble", "commit": "76863107351af812f041a94b20ecbe0e42066a79", "fileid": "8aae8cca3aa71deaedcfcae2efda9023f91a73b0ca021736d47a8767da01d162", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/ielbadisy/actions/runs/25854549965" }, { "r": "4.5.3", "os": "mac", "version": "0.7.2", "date": "2026-05-15T05:59:24.000Z", "commit": "76863107351af812f041a94b20ecbe0e42066a79", "fileid": "afdb5e7aaf495225bba676d1a776923e8540972f35cf6c0b1746d0ee679ebdc8", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/ielbadisy/actions/runs/25854549965" }, { "r": "4.6.0", "os": "mac", "version": "0.7.2", "date": "2026-05-15T05:59:14.000Z", "commit": "76863107351af812f041a94b20ecbe0e42066a79", "fileid": "8c178b507f0a9d0abd0471c753a123321e2cef2d98ac99b7d80aeab21d7e00a1", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/ielbadisy/actions/runs/25854549965" }, { "r": "4.7.0", "os": "win", "version": "0.7.2", "date": "2026-05-15T05:35:43.000Z", "commit": "76863107351af812f041a94b20ecbe0e42066a79", "fileid": "8f8342a660013a65fef15de011d84c6ba531e0971cd8e641a0c32d3d6780b15f", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/ielbadisy/actions/runs/25854549965" }, { "r": "4.5.3", "os": "win", "version": "0.7.2", "date": "2026-05-15T05:35:47.000Z", "commit": "76863107351af812f041a94b20ecbe0e42066a79", "fileid": "e18a7fd8f837e71ae015ee9bb7cb0642c970f216600f54c9c612a22faa2fb09d", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/ielbadisy/actions/runs/25854549965" }, { "r": "4.6.0", "os": "win", "version": "0.7.2", "date": "2026-05-15T05:35:42.000Z", "commit": "76863107351af812f041a94b20ecbe0e42066a79", "fileid": "e584d6382b9be8cbab4da23fc5d560775544c6218b44f5ff0908bfe85edaab32", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/ielbadisy/actions/runs/25854549965" }, { "r": "4.6.0", "os": "wasm", "version": "0.7.2", "date": "2026-05-22T08:33:24.000Z", "commit": "76863107351af812f041a94b20ecbe0e42066a79", "fileid": "07852da7086850a5748ffedc771b02e3b7e49f6728cb7dae57f07c7ddf3b6440", "status": "success", "buildurl": "https://github.com/r-universe/ielbadisy/actions/runs/25854549965" } ] }