{ "_id": "6a1f3a02b401979e73428f7d", "Package": "RoBSA", "Type": "Package", "Title": "Robust Bayesian Survival Analysis", "Version": "1.0.4", "Maintainer": "František Bartoš ", "Authors@R": "c( \nperson(\"František\", \"Bartoš\", role = c(\"aut\", \"cre\"),\nemail = \"f.bartos96@gmail.com\", comment = c(ORCID = \"0000-0002-0018-5573\")),\nperson(\"Julia M.\", \"Haaf\", role = \"ths\",\ncomment = c(ORCID = \"0000-0001-5122-706X\")),\nperson(\"Matthew\", \"Denwood\", role=\"cph\",\ncomment=\"Original copyright holder of some modified code where indicated.\"),\nperson(\"Martyn\", \"Plummer\", role=\"cph\",\ncomment=\"Original copyright holder of some modified code where indicated.\")\n)", "Description": "A framework for estimating ensembles of parametric\nsurvival models with different parametric families. The RoBSA\nframework uses Bayesian model-averaging to combine the\ncompeting parametric survival models into a model ensemble,\nweights the posterior parameter distributions based on\nposterior model probabilities and uses Bayes factors to test\nfor the presence or absence of the individual predictors or\npreference for a parametric family (Bartoš, Aust & Haaf, 2022,\n). The user can define a wide\nrange of informative priors for all parameters of interest. The\npackage provides convenient functions for summary,\nvisualizations, fit diagnostics, and prior distribution\ncalibration.", "URL": "https://fbartos.github.io/RoBSA/", "BugReports": "https://github.com/FBartos/RoBSA/issues", "License": "GPL-3", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.2.3", "SystemRequirements": "JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/)", "RdMacros": "Rdpack", "Config/pak/sysreqs": "jags libicu-dev", "Repository": "https://fbartos.r-universe.dev", "Date/Publication": "2026-05-07 12:33:27 UTC", "RemoteUrl": "https://github.com/fbartos/robsa", "RemoteRef": "HEAD", "RemoteSha": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-07 14:00:41 UTC", "User": "root" }, "Author": "František Bartoš [aut, cre] (ORCID:\n),\nJulia M. Haaf [ths] (ORCID: ),\nMatthew Denwood [cph] (Original copyright holder of some modified code\nwhere indicated.),\nMartyn Plummer [cph] (Original copyright holder of some modified code\nwhere indicated.)", "MD5sum": "88d4f01a585dd534ef9c7e61ca1fb9fe", "_user": "fbartos", "_type": "src", "_file": "RoBSA_1.0.4.tar.gz", "_fileid": "e0f9ddbc7f9af7a5ebd36afb6c0694377d89ebe943616ebcdf2e7eab02d87309", "_filesize": 356070, "_sha256": "e0f9ddbc7f9af7a5ebd36afb6c0694377d89ebe943616ebcdf2e7eab02d87309", "_created": "2026-05-07T14:00:41.000Z", "_published": "2026-06-02T20:16:02.089Z", "_distro": "noble", "_jobs": [ { "job": 79163233474, "time": 168, "config": "linux-devel-arm64", "r": "4.7.0", "check": "NOTE", "artifact": "6857244468" }, { "job": 79163233211, "time": 170, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "6857247472" }, { "job": 79163234094, "time": 176, "config": "linux-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "6857248034" }, { "job": 79163233893, "time": 151, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "6857238069" }, { "job": 79163233540, "time": 128, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "6857233922" }, { "job": 79163233564, "time": 322, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "NOTE", "artifact": "6857321087" }, { "job": 79163233450, "time": 133, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "6857236113" }, { "job": 79163233191, "time": 276, "config": "macos-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "6857303374" }, { "job": 79163232905, "time": 223, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6857173521" }, { "job": 79163232504, "time": 126, "config": "wasm-release", "r": "4.6.0", "check": "FAIL", "artifact": "" }, { "job": 79163232898, "time": 168, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "6857245038" }, { "job": 79163233997, "time": 156, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "6857239951" }, { "job": 79163233329, "time": 160, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "6857241770" } ], "_buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/fbartos/robsa", "_commit": { "id": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "author": "František Bartoš <38475991+FBartos@users.noreply.github.com>", "committer": "GitHub ", "message": "version 1.0.3\n\n### changes\n- update to BayesTools 0.3.0\n- add `restarts`, `max_extend`, and `check_indicators` to `set_autofit_control()`\n- add `check_indicators` to `set_convergence_checks()`\n\n### fixes\n- fixing CRAN compilation issues\n- fix `plot_models()` compatibility with RoBSA fits saved under older BayesTools versions", "time": 1778157207 }, "_maintainer": { "name": "František Bartoš", "email": "f.bartos96@gmail.com", "login": "fbartos", "bluesky": "@fbartos.bsky.social", "orcid": "0000-0002-0018-5573", "twitter": "@BartosFra", "uuid": 38475991 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0.0", "role": "Depends" }, { "package": "BayesTools", "version": ">= 0.3.0", "role": "Imports" }, { "package": "survival", "role": "Imports" }, { "package": "rjags", "role": "Imports" }, { "package": "runjags", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "coda", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "Rdpack", "role": "Imports" }, { "package": "parallel", "role": "Suggests" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "flexsurv", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" }, { "package": "vdiffr", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "covr", "role": "Suggests" } ], "_owner": "fbartos", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-19", "n": 1 } ], "_tags": [ { "name": "v1.0.4", "date": "2026-05-07" } ], "_topics": [ "bayesian", "model-averaging", "survival-analysis", "jags", "cpp" ], "_stars": 7, "_contributors": [ { "user": "fbartos", "count": 41, "uuid": 38475991 } ], "_userbio": { "uuid": 38475991, "type": "user", "name": "František Bartoš", "description": "A (Psych Methods) PhD Candidate at the University of Amsterdam. I’m interested in meta-analyses, publication bias, replicability, and Bayesian inference." }, "_downloads": { "count": 205, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/RoBSA" }, "_devurl": "https://github.com/fbartos/robsa", "_pkgdown": "https://fbartos.github.io/RoBSA/", "_searchresults": 3, "_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/RoBSA.html", "manual.pdf" ], "_homeurl": "https://github.com/fbartos/robsa", "_realowner": "fbartos", "_cranurl": true, "_releases": [ { "version": "1.0.0", "date": "2022-05-27" }, { "version": "1.0.1", "date": "2023-03-13" }, { "version": "1.0.2", "date": "2023-05-30" }, { "version": "1.0.3", "date": "2025-03-24" } ], "_exports": [ "calibrate_meta_analytic", "calibrate_quartiles", "check_RoBSA", "check_setup", "contr.independent", "contr.meandif", "contr.orthonormal", "diagnostics", "diagnostics_autocorrelation", "diagnostics_density", "diagnostics_trace", "exp_aft_density", "exp_aft_hazard", "exp_aft_log_density", "exp_aft_log_hazard", "exp_aft_log_survival", "exp_aft_mean", "exp_aft_p", "exp_aft_q", "exp_aft_r", "exp_aft_sd", "exp_aft_survival", "extract_flexsurv", "gamma_aft_density", "gamma_aft_hazard", "gamma_aft_log_density", "gamma_aft_log_hazard", "gamma_aft_log_survival", "gamma_aft_mean", "gamma_aft_p", "gamma_aft_q", "gamma_aft_r", "gamma_aft_sd", "gamma_aft_survival", "get_default_prior_aux", "get_default_prior_beta_alt", "get_default_prior_beta_null", "get_default_prior_factor_null", "get_default_prior_intercept", "is.RoBSA", "llogis_aft_density", "llogis_aft_hazard", "llogis_aft_log_density", "llogis_aft_log_hazard", "llogis_aft_log_survival", "llogis_aft_mean", "llogis_aft_p", "llogis_aft_q", "llogis_aft_r", "llogis_aft_sd", "llogis_aft_survival", "lnorm_aft_density", "lnorm_aft_hazard", "lnorm_aft_log_density", "lnorm_aft_log_hazard", "lnorm_aft_log_survival", "lnorm_aft_mean", "lnorm_aft_p", "lnorm_aft_q", "lnorm_aft_r", "lnorm_aft_sd", "lnorm_aft_survival", "plot_density", "plot_hazard", "plot_models", "plot_prediction", "plot_survival", "prior", "prior_factor", "prior_informed", "prior_informed_medicine_names", "prior_none", "RoBSA", "RoBSA.get_option", "RoBSA.options", "set_autofit_control", "set_convergence_checks", "weibull_aft_density", "weibull_aft_hazard", "weibull_aft_log_density", "weibull_aft_log_hazard", "weibull_aft_log_survival", "weibull_aft_mean", "weibull_aft_p", "weibull_aft_q", "weibull_aft_r", "weibull_aft_sd", "weibull_aft_survival" ], "_help": [ { "page": "RoBSA-package", "title": "RoBSA: Robust Bayesian survival analysis", "topics": [ "RoBSA-package", "RoBSA.package", "RoBSA_package", "_PACKAGE" ] }, { "page": "calibrate_meta_analytic", "title": "Create meta-analytic predictive prior distributions", "topics": [ "calibrate_meta_analytic" ] }, { "page": "calibrate_quartiles", "title": "Calibrate prior distributions based on quartiles", "topics": [ "calibrate_quartiles" ] }, { "page": "check_RoBSA", "title": "Check fitted RoBSA object for errors and warnings", "topics": [ "check_RoBSA" ] }, { "page": "check_setup", "title": "Prints summary of '\"RoBSA\"' corresponding to the input", "topics": [ "check_setup" ] }, { "page": "contr.BayesTools", "title": "BayesTools Contrast Matrices", "topics": [ "contr.BayesTools", "contr.independent", "contr.meandif", "contr.orthonormal" ] }, { "page": "default_prior", "title": "Default prior distributions", "topics": [ "default_prior", "get_default_prior_aux", "get_default_prior_beta_alt", "get_default_prior_beta_alt,", "get_default_prior_beta_null", "get_default_prior_beta_null,", "get_default_prior_factor_alt", "get_default_prior_factor_alt,", "get_default_prior_factor_null", "get_default_prior_factor_null,", "get_default_prior_intercept", "get_default_prior_intercept," ] }, { "page": "diagnostics", "title": "Visualizes MCMC diagnostics for a fitted RoBSA object", "topics": [ "diagnostics", "diagnostics_autocorrelation", "diagnostics_density", "diagnostics_trace" ] }, { "page": "exp-aft", "title": "Exponential AFT parametric family.", "topics": [ "exp-aft", "exp_aft_density", "exp_aft_hazard", "exp_aft_log_density", "exp_aft_log_hazard", "exp_aft_log_survival", "exp_aft_mean", "exp_aft_p", "exp_aft_q", "exp_aft_r", "exp_aft_sd", "exp_aft_survival" ] }, { "page": "extract_flexsurv", "title": "Extract parameter estimates from 'flexsurv' object", "topics": [ "extract_flexsurv" ] }, { "page": "gamma-aft", "title": "Gamma AFT parametric family.", "topics": [ "gamma-aft", "gamma_aft_density", "gamma_aft_hazard", "gamma_aft_log_density", "gamma_aft_log_hazard", "gamma_aft_log_survival", "gamma_aft_mean", "gamma_aft_p", "gamma_aft_q", "gamma_aft_r", "gamma_aft_sd", "gamma_aft_survival" ] }, { "page": "is.RoBSA", "title": "Reports whether x is a RoBSA object", "topics": [ "is.RoBSA" ] }, { "page": "llogis-aft", "title": "Log-logistic AFT parametric family.", "topics": [ "llogis-aft", "llogis_aft_density", "llogis_aft_hazard", "llogis_aft_log_density", "llogis_aft_log_hazard", "llogis_aft_log_survival", "llogis_aft_mean", "llogis_aft_p", "llogis_aft_q", "llogis_aft_r", "llogis_aft_sd", "llogis_aft_survival" ] }, { "page": "lnorm-aft", "title": "Log-normal AFT parametric family.", "topics": [ "lnorm-aft", "lnorm_aft_density", "lnorm_aft_hazard", "lnorm_aft_log_density", "lnorm_aft_log_hazard", "lnorm_aft_log_survival", "lnorm_aft_mean", "lnorm_aft_p", "lnorm_aft_q", "lnorm_aft_r", "lnorm_aft_sd", "lnorm_aft_survival" ] }, { "page": "plot_models", "title": "Models plot for a RoBSA object", "topics": [ "plot_models" ] }, { "page": "plot_prediction", "title": "Survival plots for a RoBSA object", "topics": [ "plot_density", "plot_hazard", "plot_prediction", "plot_survival" ] }, { "page": "plot.RoBSA", "title": "Plots a fitted RoBSA object", "topics": [ "plot.RoBSA" ] }, { "page": "predict.RoBSA", "title": "Predict method for RoBSA objects.", "topics": [ "predict.RoBSA" ] }, { "page": "print.RoBSA", "title": "Prints a fitted RoBSA object", "topics": [ "print.RoBSA" ] }, { "page": "print.summary.RoBSA", "title": "Prints summary object for RoBSA method", "topics": [ "print.summary.RoBSA" ] }, { "page": "prior", "title": "Creates a prior distribution", "topics": [ "prior" ] }, { "page": "prior_factor", "title": "Creates a prior distribution for factors", "topics": [ "prior_factor" ] }, { "page": "prior_informed", "title": "Creates an informed prior distribution based on research", "topics": [ "prior_informed" ] }, { "page": "prior_informed_medicine_names", "title": "Names of medical subfields from the Cochrane database of systematic reviews", "topics": [ "prior_informed_medicine_names" ] }, { "page": "prior_none", "title": "Creates a prior distribution", "topics": [ "prior_none" ] }, { "page": "RoBSA", "title": "Fit Robust Bayesian Survival Analysis", "topics": [ "RoBSA" ] }, { "page": "RoBSA_control", "title": "Control MCMC fitting process", "topics": [ "RoBSA_control", "set_autofit_control", "set_autofit_control,", "set_convergence_checks" ] }, { "page": "RoBSA_options", "title": "Options for the RoBSA package", "topics": [ "RoBSA.get_option", "RoBSA.options", "RoBSA_options" ] }, { "page": "summary.RoBSA", "title": "Summarize fitted RoBSA object", "topics": [ "summary.RoBSA" ] }, { "page": "update.RoBSA", "title": "Updates a fitted RoBSA object", "topics": [ "update.RoBSA" ] }, { "page": "weibull-aft", "title": "Weibull AFT parametric family.", "topics": [ "weibull-aft", "weibull_aft_density", "weibull_aft_hazard", "weibull_aft_log_density", "weibull_aft_log_hazard", "weibull_aft_log_survival", "weibull_aft_mean", "weibull_aft_p", "weibull_aft_q", "weibull_aft_r", "weibull_aft_sd", "weibull_aft_survival" ] } ], "_readme": "https://github.com/fbartos/robsa/raw/HEAD/README.md", "_rundeps": [ "BayesTools", "bridgesampling", "Brobdingnag", "cli", "coda", "cpp11", "extraDistr", "farver", "ggplot2", "glue", "gtable", "isoband", "labeling", "lattice", "lifecycle", "magrittr", "Matrix", "mvtnorm", "R6", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "Rdpack", "rjags", "rlang", "runjags", "S7", "scales", "stringi", "stringr", "survival", "vctrs", "viridisLite", "withr" ], "_sysdeps": [ { "shlib": "libjags", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2404.0", "name": "jags", "homepage": "https://mcmc-jags.sourceforge.io", "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary\nJAGS is Just Another Gibbs Sampler. It is a program for analysis of\nBayesian hierarchical models using Markov Chain Monte Carlo (MCMC)\nsimulation not wholly unlike BUGS.\n\nJAGS was written with three aims in mind:\n* To have an engine for the BUGS language that runs on Unix\n* To be extensible, allowing users to write their own functions,\ndistributions and samplers.\n* To be a plaftorm for experimentation with ideas in Bayesian modelling\n\nThis package contains the 'jags' binary as well as the associated\nshared library modules loaded by the binary." }, { "shlib": "libjrmath", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2404.0", "name": "jags", "homepage": "https://mcmc-jags.sourceforge.io", "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary\nJAGS is Just Another Gibbs Sampler. It is a program for analysis of\nBayesian hierarchical models using Markov Chain Monte Carlo (MCMC)\nsimulation not wholly unlike BUGS.\n\nJAGS was written with three aims in mind:\n* To have an engine for the BUGS language that runs on Unix\n* To be extensible, allowing users to write their own functions,\ndistributions and samplers.\n* To be a plaftorm for experimentation with ideas in Bayesian modelling\n\nThis package contains the 'jags' binary as well as the associated\nshared library modules loaded by the binary." }, { "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": "libjags", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2404.0", "name": "jags", "homepage": "https://mcmc-jags.sourceforge.io", "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary\nJAGS is Just Another Gibbs Sampler. It is a program for analysis of\nBayesian hierarchical models using Markov Chain Monte Carlo (MCMC)\nsimulation not wholly unlike BUGS.\n\nJAGS was written with three aims in mind:\n* To have an engine for the BUGS language that runs on Unix\n* To be extensible, allowing users to write their own functions,\ndistributions and samplers.\n* To be a plaftorm for experimentation with ideas in Bayesian modelling\n\nThis package contains the 'jags' binary as well as the associated\nshared library modules loaded by the binary." }, { "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" } ], "_score": 3.5440680443502757, "_indexed": true, "_nocasepkg": "robsa", "_universes": [ "fbartos" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.4", "date": "2026-05-07T14:03:23.000Z", "distro": "noble", "arch": "aarch64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "546356019e08ba6a4d0410c33ab3b28f5c29ac02b6e9fb8e2da907a96dcdbef5", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" }, { "r": "4.7.0", "os": "linux", "version": "1.0.4", "date": "2026-05-07T14:03:24.000Z", "distro": "noble", "arch": "x86_64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "77a803938778fa45ba260e5dcfa9aa38631a7b833cd0b43d90f74fbc05a4019f", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" }, { "r": "4.6.0", "os": "linux", "version": "1.0.4", "date": "2026-05-07T14:03:33.000Z", "distro": "noble", "arch": "aarch64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "42597f579c8a56653768122fcbf293e1690bed962cbb6bb79a823cf0f23c1ec3", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" }, { "r": "4.6.0", "os": "linux", "version": "1.0.4", "date": "2026-05-07T14:03:06.000Z", "distro": "noble", "arch": "x86_64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "2deb3cc08c63a8a6702387d85852deff6903f281b2e0c735ff59939c4955f225", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" }, { "r": "4.5.3", "os": "mac", "version": "1.0.4", "date": "2026-05-07T14:02:50.000Z", "arch": "aarch64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "d03928cb9ebf4b1ddcefa2c3c92ecdcff9e7e8d841866ef6616c6bb8c41e0386", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" }, { "r": "4.5.3", "os": "mac", "version": "1.0.4", "date": "2026-05-07T14:05:00.000Z", "arch": "x86_64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "0caf3e380ac99501627e0da179dd606320bf62dc371a653beca024355d200748", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" }, { "r": "4.6.0", "os": "mac", "version": "1.0.4", "date": "2026-05-07T14:03:00.000Z", "arch": "aarch64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "d3014cc395ebd9b3d894575ac13dbd732ba556a1cd2a39d1d7facf44ac8421f0", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" }, { "r": "4.6.0", "os": "mac", "version": "1.0.4", "date": "2026-05-07T14:04:24.000Z", "arch": "x86_64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "6e66fb2f85e8493ff60ab1991ab911977c7a82ce2d9254bd2a53515a547dd34c", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" }, { "r": "4.7.0", "os": "win", "version": "1.0.4", "date": "2026-05-07T14:02:32.000Z", "arch": "x86_64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "ba71143f2098125b611831a558c865d22390dcf7a4361221443d232bca34ea80", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" }, { "r": "4.5.3", "os": "win", "version": "1.0.4", "date": "2026-05-07T14:02:14.000Z", "arch": "x86_64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "403ec37a7c94c13d6b4eee4c27b3f651142c7c969969dfb97b6197f356bfbe83", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" }, { "r": "4.6.0", "os": "win", "version": "1.0.4", "date": "2026-05-07T14:02:23.000Z", "arch": "x86_64", "commit": "636d165cfeae947b9a7eeba3083ca1b788199ec3", "fileid": "906b4302f91bd6f637ab99b5cc0935b969dcd3247858d99aa02446000481d24e", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/fbartos/actions/runs/25500339941" } ] }