{ "_id": "6a1756cbacfb0bcc41d96960", "Package": "gkwreg", "Title": "Generalized Kumaraswamy Regression Models for Bounded Data", "Version": "2.1.16", "Authors@R": "c(person(given = \"José Evandeilton\",\nfamily = \"Lopes\",\nrole = c(\"aut\", \"cre\"),\nemail = \"evandeilton@gmail.com\",\ncomment = c(ORCID = \"0009-0007-5887-4084\")),\nperson(given = \"Wagner Hugo\",\nfamily = \"Bonat\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-0349-7054\")))", "Description": "Implements regression models for bounded continuous data\nin the open interval (0,1) using the five-parameter Generalized\n'Kumaraswamy' distribution. Supports modeling all distribution\nparameters (alpha, beta, gamma, delta, lambda) as functions of\npredictors through various link functions. Provides efficient\nmaximum likelihood estimation via Template Model Builder\n('TMB'), offering comprehensive diagnostics, model comparison\ntools, and simulation methods. Particularly useful for\nanalyzing proportions, rates, indices, and other bounded\nresponse data with complex distributional features not\nadequately captured by simpler models.", "License": "MIT + file LICENSE", "URL": "https://github.com/evandeilton/gkwreg,\nhttps://evandeilton.github.io/gkwreg/", "BugReports": "https://github.com/evandeilton/gkwreg/issues", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "NeedsCompilation": "yes", "LazyData": "true", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "cmake make libicu-dev", "Repository": "https://evandeilton.r-universe.dev", "Date/Publication": "2026-03-21 03:25:25 UTC", "RemoteUrl": "https://github.com/evandeilton/gkwreg", "RemoteRef": "HEAD", "RemoteSha": "b68e8432ac1a67c47f9246806187625da99ddbdb", "Packaged": { "Date": "2026-05-27 20:33:13 UTC", "User": "root" }, "Author": "José Evandeilton Lopes [aut, cre] (ORCID:\n),\nWagner Hugo Bonat [aut] (ORCID:\n)", "Maintainer": "José Evandeilton Lopes ", "MD5sum": "995bbe406f5f1962275407b729f48f62", "_user": "evandeilton", "_type": "src", "_file": "gkwreg_2.1.16.tar.gz", "_fileid": "3027267211ffd6d6cf2ba94ec7e03b10225df3234604d4a1d6bd204951fb40cc", "_filesize": 2631291, "_sha256": "3027267211ffd6d6cf2ba94ec7e03b10225df3234604d4a1d6bd204951fb40cc", "_created": "2026-05-27T20:33:13.000Z", "_published": "2026-05-27T20:40:42.984Z", "_distro": "noble", "_jobs": [ { "job": 78168841060, "time": 173, "config": "linux-devel-arm64", "r": "4.7.0", "check": "NOTE", "artifact": "7251280465" }, { "job": 78168841046, "time": 183, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7251283990" }, { "job": 78168841058, "time": 164, "config": "linux-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7251277503" }, { "job": 78168841000, "time": 231, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7251301781" }, { "job": 78168841013, "time": 116, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7251260169" }, { "job": 78168840975, "time": 397, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "NOTE", "artifact": "7251359184" }, { "job": 78168840956, "time": 106, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7251256484" }, { "job": 78168840968, "time": 383, "config": "macos-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7251355225" }, { "job": 78167439608, "time": 471, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7251218570" }, { "job": 78168840907, "time": 139, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7251268370" }, { "job": 78168840954, "time": 163, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7251276729" }, { "job": 78168840991, "time": 136, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7251267515" }, { "job": 78168841039, "time": 140, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7251269214" } ], "_buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/evandeilton/gkwreg", "_commit": { "id": "b68e8432ac1a67c47f9246806187625da99ddbdb", "author": "José Evandeilton Lopes ", "committer": "GitHub ", "message": "Merge pull request #21 from evandeilton/claude/investigate-package-011CUPFXbhp9XgnJxCu3Ezmq\n\nImprove vignette quality and code organization", "time": 1774063525 }, "_maintainer": { "name": "José Evandeilton Lopes", "email": "evandeilton@gmail.com", "login": "evandeilton", "uuid": 9373260 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5", "role": "Depends" }, { "package": "TMB", "role": "LinkingTo" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "RcppEigen", "role": "LinkingTo" }, { "package": "Formula", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "TMB", "role": "Imports" }, { "package": "Rcpp", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "ggpubr", "role": "Imports" }, { "package": "gridExtra", "role": "Imports" }, { "package": "numDeriv", "role": "Imports" }, { "package": "gkwdist", "role": "Imports" }, { "package": "betareg", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "evandeilton", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-28", "n": 16 }, { "week": "2025-29", "n": 3 }, { "week": "2025-41", "n": 2 }, { "week": "2025-42", "n": 16 }, { "week": "2025-43", "n": 3 }, { "week": "2025-44", "n": 1 }, { "week": "2025-46", "n": 7 }, { "week": "2025-47", "n": 2 }, { "week": "2025-48", "n": 7 }, { "week": "2025-49", "n": 4 }, { "week": "2026-02", "n": 6 }, { "week": "2026-03", "n": 1 }, { "week": "2026-04", "n": 4 }, { "week": "2026-09", "n": 1 }, { "week": "2026-12", "n": 1 } ], "_tags": [ { "name": "v2.1.4", "date": "2025-11-16" }, { "name": "v2.1.5", "date": "2025-11-27" }, { "name": "v2.1.14", "date": "2026-01-08" }, { "name": "v2.1.15", "date": "2026-01-08" }, { "name": "v2.1.16", "date": "2026-01-08" } ], "_topics": [ "gkwreg", "kumaraswamy-regression", "rcpp", "tmb", "unit-interval", "cpp" ], "_stars": 1, "_contributors": [ { "user": "evandeilton", "count": 165, "uuid": 9373260 }, { "user": "claude", "count": 1, "uuid": 81847 } ], "_userbio": { "uuid": 9373260, "type": "user", "name": "José Evandeilton Lopes" }, "_downloads": { "count": 505, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/gkwreg" }, "_devurl": "https://github.com/evandeilton/gkwreg", "_pkgdown": "https://evandeilton.github.io/gkwreg/", "_searchresults": 25, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/gkwreg.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/evandeilton/gkwreg", "_realowner": "evandeilton", "_cranurl": true, "_releases": [ { "version": "1.0.3", "date": "2025-04-15" }, { "version": "1.0.7", "date": "2025-05-01" }, { "version": "1.0.10", "date": "2025-07-09" }, { "version": "2.1.1", "date": "2025-11-15" }, { "version": "2.1.6", "date": "2025-11-27" }, { "version": "2.1.14", "date": "2026-01-09" } ], "_exports": [ "%>%", "gkw_control", "gkwreg", "lrtest", "response" ], "_datasets": [ { "name": "CarTask", "title": "Partition-Primed Probability Judgement Task for Car Dealership", "object": "CarTask", "class": [ "data.frame" ], "fields": [ "task", "probability", "NFCCscale" ], "rows": 155, "table": true, "tojson": true }, { "name": "FoodExpenditure", "title": "Proportion of Household Income Spent on Food", "object": "FoodExpenditure", "class": [ "data.frame" ], "fields": [ "food", "income", "persons" ], "rows": 38, "table": true, "tojson": true }, { "name": "GasolineYield", "title": "Gasoline Yield from Crude Oil", "object": "GasolineYield", "class": [ "data.frame" ], "fields": [ "yield", "gravity", "pressure", "temp10", "temp", "batch" ], "rows": 32, "table": true, "tojson": true }, { "name": "ImpreciseTask", "title": "Imprecise Probabilities for Sunday Weather and Boeing Stock Task", "object": "ImpreciseTask", "class": [ "data.frame" ], "fields": [ "task", "location", "difference" ], "rows": 242, "table": true, "tojson": true }, { "name": "LossAversion", "title": "(No) Myopic Loss Aversion in Adolescents", "object": "LossAversion", "class": [ "data.frame" ], "fields": [ "invest", "gender", "male", "age", "treatment", "grade", "arrangement" ], "rows": 570, "table": true, "tojson": true }, { "name": "MockJurors", "title": "Confidence of Mock Jurors in Their Verdicts", "object": "MockJurors", "class": [ "data.frame" ], "fields": [ "verdict", "conflict", "confidence" ], "rows": 104, "table": true, "tojson": true }, { "name": "ReadingSkills", "title": "Dyslexia and IQ Predicting Reading Accuracy", "object": "ReadingSkills", "class": [ "data.frame" ], "fields": [ "accuracy", "dyslexia", "iq", "accuracy1" ], "rows": 44, "table": true, "tojson": true }, { "name": "retinal", "title": "Intraocular Gas Decay in Retinal Surgery", "object": "retinal", "class": [ "data.frame" ], "fields": [ "Gas", "Time", "LogT", "LogT2", "Level", "ID" ], "rows": 181, "table": true, "tojson": true }, { "name": "sdac", "title": "Autologous Peripheral Blood Stem Cell Transplants Data", "object": "sdac", "class": [ "data.frame" ], "fields": [ "age", "gender", "rcd", "ageadj", "chemo" ], "rows": 239, "table": true, "tojson": true }, { "name": "StressAnxiety", "title": "Dependency of Anxiety on Stress", "object": "StressAnxiety", "class": [ "data.frame" ], "fields": [ "stress", "anxiety" ], "rows": 166, "table": true, "tojson": true }, { "name": "WeatherTask", "title": "Weather Task with Priming and Precise and Imprecise Probabilities", "object": "WeatherTask", "class": [ "data.frame" ], "fields": [ "priming", "eliciting", "agreement" ], "rows": 345, "table": true, "tojson": true } ], "_help": [ { "page": "AIC.gkwreg", "title": "Akaike Information Criterion for GKw Regression Models", "topics": [ "AIC.gkwreg" ] }, { "page": "anova.gkwreg", "title": "Analysis of Deviance for GKw Regression Models", "topics": [ "anova.gkwreg" ] }, { "page": "BIC.gkwreg", "title": "Bayesian Information Criterion for GKw Regression Models", "topics": [ "BIC.gkwreg" ] }, { "page": "CarTask", "title": "Partition-Primed Probability Judgement Task for Car Dealership", "topics": [ "CarTask" ] }, { "page": "coef.gkwreg", "title": "Extract Coefficients from a Fitted GKw Regression Model", "topics": [ "coef.gkwreg" ] }, { "page": "confint.gkwreg", "title": "Confidence Intervals for Generalized Kumaraswamy Regression Parameters", "topics": [ "confint.gkwreg" ] }, { "page": "family.gkwreg", "title": "Extract Family from GKw Regression Model", "topics": [ "family.gkwreg" ] }, { "page": "fitted.gkwreg", "title": "Extract Fitted Values from a Generalized Kumaraswamy Regression Model", "topics": [ "fitted.gkwreg" ] }, { "page": "FoodExpenditure", "title": "Proportion of Household Income Spent on Food", "topics": [ "FoodExpenditure" ] }, { "page": "formula.gkwreg", "title": "Extract Formula from GKw Regression Model", "topics": [ "formula.gkwreg" ] }, { "page": "GasolineYield", "title": "Gasoline Yield from Crude Oil", "topics": [ "GasolineYield" ] }, { "page": "getCall.gkwreg", "title": "Get Call from GKw Regression Model", "topics": [ "getCall.gkwreg" ] }, { "page": "gkw_control", "title": "Control Parameters for Generalized Kumaraswamy Regression", "topics": [ "gkw_control", "print.gkw_control" ] }, { "page": "gkwreg", "title": "Fit Generalized Kumaraswamy Regression Models", "topics": [ "gkwreg" ] }, { "page": "ImpreciseTask", "title": "Imprecise Probabilities for Sunday Weather and Boeing Stock Task", "topics": [ "ImpreciseTask" ] }, { "page": "logLik.gkwreg", "title": "Extract Log-Likelihood from Generalized Kumaraswamy Regression Models", "topics": [ "logLik.gkwreg" ] }, { "page": "LossAversion", "title": "(No) Myopic Loss Aversion in Adolescents", "topics": [ "LossAversion" ] }, { "page": "lrtest", "title": "Likelihood Ratio Test for Nested GKw Models", "topics": [ "lrtest" ] }, { "page": "MockJurors", "title": "Confidence of Mock Jurors in Their Verdicts", "topics": [ "MockJurors" ] }, { "page": "model.frame.gkwreg", "title": "Extract Model Frame from GKw Regression Model", "topics": [ "model.frame.gkwreg" ] }, { "page": "model.matrix.gkwreg", "title": "Extract Model Matrix from GKw Regression Model", "topics": [ "model.matrix.gkwreg" ] }, { "page": "nobs.gkwreg", "title": "Number of Observations for GKw Regression Models", "topics": [ "nobs.gkwreg" ] }, { "page": "plot.gkwreg", "title": "Diagnostic Plots for Generalized Kumaraswamy Regression Models", "topics": [ "plot.gkwreg" ] }, { "page": "predict.gkwreg", "title": "Predictions from a Fitted Generalized Kumaraswamy Regression Model", "topics": [ "predict.gkwreg" ] }, { "page": "print.anova.gkwreg", "title": "Print Method for ANOVA of GKw Models", "topics": [ "print.anova.gkwreg" ] }, { "page": "print.gkwreg", "title": "Print Method for Generalized Kumaraswamy Regression Models", "topics": [ "print.gkwreg" ] }, { "page": "ReadingSkills", "title": "Dyslexia and IQ Predicting Reading Accuracy", "topics": [ "ReadingSkills" ] }, { "page": "residuals.gkwreg", "title": "Extract Residuals from a Generalized Kumaraswamy Regression Model", "topics": [ "residuals.gkwreg" ] }, { "page": "response", "title": "Extract Response Variable from GKw Regression Model", "topics": [ "response", "response.gkwreg" ] }, { "page": "retinal", "title": "Intraocular Gas Decay in Retinal Surgery", "topics": [ "retinal" ] }, { "page": "sdac", "title": "Autologous Peripheral Blood Stem Cell Transplants Data", "topics": [ "sdac" ] }, { "page": "StressAnxiety", "title": "Dependency of Anxiety on Stress", "topics": [ "StressAnxiety" ] }, { "page": "summary.gkwreg", "title": "Summary Method for Generalized Kumaraswamy Regression Models", "topics": [ "summary.gkwreg" ] }, { "page": "terms.gkwreg", "title": "Extract Terms from GKw Regression Model", "topics": [ "terms.gkwreg" ] }, { "page": "update.gkwreg", "title": "Update and Re-fit a GKw Regression Model", "topics": [ "update.gkwreg" ] }, { "page": "vcov.gkwreg", "title": "Extract Variance-Covariance Matrix from a Generalized Kumaraswamy Regression Model", "topics": [ "vcov.gkwreg" ] }, { "page": "WeatherTask", "title": "Weather Task with Priming and Precise and Imprecise Probabilities", "topics": [ "WeatherTask" ] } ], "_readme": "https://github.com/evandeilton/gkwreg/raw/HEAD/README.md", "_rundeps": [ "abind", "backports", "boot", "broom", "car", "carData", "cli", "colorspace", "corrplot", "cowplot", "cpp11", "Deriv", "doBy", "dplyr", "farver", "forecast", "Formula", "fracdiff", "generics", "ggplot2", "ggpubr", "ggrepel", "ggsci", "ggsignif", "gkwdist", "glue", "gridExtra", "gtable", "isoband", "labeling", "lattice", "lifecycle", "lme4", "lmtest", "magrittr", "MASS", "Matrix", "MatrixModels", "mgcv", "microbenchmark", "minqa", "modelr", "nlme", "nloptr", "nnet", "numDeriv", "pbkrtest", "pillar", "pkgconfig", "polynom", "purrr", "quantreg", "R6", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "Rdpack", "reformulas", "rlang", "rstatix", "S7", "scales", "SparseM", "stringi", "stringr", "survival", "tibble", "tidyr", "tidyselect", "timeDate", "TMB", "urca", "utf8", "vctrs", "viridisLite", "withr", "zoo" ], "_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" } ], "_vignettes": [ { "source": "gkwreg-vs-betareg.Rmd", "filename": "gkwreg-vs-betareg.html", "title": "Beta Regression vs Kumaraswamy-Based Models for Bounded Data", "author": "Lopes, J. E.", "engine": "knitr::rmarkdown", "headings": [ "Abstract", "Introduction", "Motivation and Background", "The Kumaraswamy Alternative", "Study Objectives", "Theoretical Framework", "Distributional Families", "Beta Distribution", "Kumaraswamy Distribution", "Exponentiated Kumaraswamy Distribution", "Regression Structures", "Parameter Correspondence and Interpretation", "Simulation Study", "Design and Methodology", "Performance Metrics", "Scenario 1: Beta-Distributed Data", "Visualizing the Response Distribution", "Simulation Results", "Parameter Estimation Comparison", "Scenario 2: Heavy-Tailed Data", "Visualizing Heavy-Tailed Distributions", "Parameter Estimation Under Misspecification", "Scenario 3: Extreme Distributional Shapes", "Visualizing Extreme Boundary Concentrations", "The Convergence Crisis", "Results and Discussion", "Comparative Performance Across Scenarios", "Statistical Performance Summary", "Parameter Estimation: Magnitude and Precision", "Computational Efficiency Analysis", "Practical Decision Framework", "Conclusions", "Summary of Findings", "Theoretical Implications", "Methodological Contributions", "References", "Session Information" ], "created": "2025-10-20 20:58:37", "modified": "2026-03-21 03:25:25", "commits": 6 } ], "_score": 5.273001272063738, "_indexed": true, "_nocasepkg": "gkwreg", "_universes": [ "evandeilton" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2.1.16", "date": "2026-05-27T20:35:58.000Z", "distro": "noble", "arch": "aarch64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "1e930d2af268abcb07395c2772fc91f82f1658c9f2ef41dfb6b2f8d2ffb735b6", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.7.0", "os": "linux", "version": "2.1.16", "date": "2026-05-27T20:36:02.000Z", "distro": "noble", "arch": "x86_64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "7e074de9f6f75e965ff064b4c09bb9a39f9c484d484879a08f7a28dba449ad56", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.6.0", "os": "linux", "version": "2.1.16", "date": "2026-05-27T20:35:54.000Z", "distro": "noble", "arch": "aarch64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "25ac327713dd80e42e01e848711ce1f3d8a18df363d1f86bb0289b1121007e81", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.6.0", "os": "linux", "version": "2.1.16", "date": "2026-05-27T20:36:49.000Z", "distro": "noble", "arch": "x86_64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "d786d7ba998030672594dcd964cd2dd521dff47d702233c575cf41112b48ece5", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.5.3", "os": "mac", "version": "2.1.16", "date": "2026-05-27T20:35:07.000Z", "arch": "aarch64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "0a99f0f3da24c086953f7269a63e7653b11d863a5bb3464cfce4b77d20cb9a06", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.5.3", "os": "mac", "version": "2.1.16", "date": "2026-05-27T20:36:57.000Z", "arch": "x86_64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "5b588c1cda45352991f20be52dd581d32e46d96f755f897f18470fc502994864", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.6.0", "os": "mac", "version": "2.1.16", "date": "2026-05-27T20:35:00.000Z", "arch": "aarch64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "0cd23a730bc0b46b6e98ff02988fb479b0c085ed05bf284fea7c86334fe5dcb6", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.6.0", "os": "mac", "version": "2.1.16", "date": "2026-05-27T20:38:25.000Z", "arch": "x86_64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "adf135dbfc4d0c4ecf7fc4ffdc1e8cb0f331fbd993f6e68a626102ad397cc4d7", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.6.0", "os": "wasm", "version": "2.1.16", "date": "2026-05-27T20:35:57.000Z", "arch": "emscripten", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "b2858fd135e4ad7da658a4fc81c8880ef8137f371c8d0f3a7fc8d14b1b91942c", "status": "success", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.7.0", "os": "win", "version": "2.1.16", "date": "2026-05-27T20:35:14.000Z", "arch": "x86_64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "266d3ebcfdabab5c8116a612d2db00a549c16dbe5e48082cc0e5f8ef510f307e", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.5.3", "os": "win", "version": "2.1.16", "date": "2026-05-27T20:34:51.000Z", "arch": "x86_64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "64f2e69e357f352982f7566b647a3184b66f7888b6804697f62fbc377be1a5b2", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" }, { "r": "4.6.0", "os": "win", "version": "2.1.16", "date": "2026-05-27T20:34:55.000Z", "arch": "x86_64", "commit": "b68e8432ac1a67c47f9246806187625da99ddbdb", "fileid": "33051b4e0e2ddadf870f9247cf5a7af30bd17d0fa86e1ae6f11775257cb4219d", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/evandeilton/actions/runs/26536703519" } ] }