{ "_id": "6a155465acfb0bcc41d5cc0a", "Package": "bayesmeta", "Type": "Package", "Title": "Bayesian Random-Effects Meta-Analysis and Meta-Regression", "Version": "3.5", "Date": "2025-08-29", "Authors@R": "c(person(given=\"Christian\", family=\"Roever\", role=c(\"aut\",\"cre\"), \nemail=\"christian.roever@med.uni-goettingen.de\",\ncomment=c(ORCID=\"0000-0002-6911-698X\")),\nperson(given=\"Tim\", family=\"Friede\", role=\"ctb\",\nemail=\"tim.friede@med.uni-goettingen.de\",\ncomment=c(ORCID=\"0000-0001-5347-7441\")))", "Maintainer": "Christian Roever ", "Description": "A collection of functions allowing to derive the posterior\ndistribution of the model parameters in random-effects\nmeta-analysis or meta-regression, and providing functionality\nto evaluate joint and marginal posterior probability\ndistributions, predictive distributions, shrinkage effects,\nposterior predictive p-values, etc.; For more details, see also\nRoever C (2020) , or Roever C and\nFriede T (2022) .", "License": "GPL (>= 2)", "URL": "https://gitlab.gwdg.de/croever/bayesmeta", "VignetteBuilder": "knitr, R.rsp", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-26 07:59:20 UTC", "User": "root" }, "Author": "Christian Roever [aut, cre] (ORCID:\n), Tim Friede [ctb]\n(ORCID: )", "Repository": "https://christianroever.r-universe.dev", "Date/Publication": "2025-08-29 06:20:09 UTC", "RemoteUrl": "https://github.com/cran/bayesmeta", "RemoteRef": "HEAD", "RemoteSha": "3f62ec46f8bdea2d66e09ee5f394ef5dad9ae8bc", "MD5sum": "a9ba61cbb2c32437ad2f0a2660abf2c3", "_user": "christianroever", "_type": "src", "_file": "bayesmeta_3.5.tar.gz", "_fileid": "866b156ccf341bcffc6567582e055aed8a2431517140b0a206d11f38c861ccc8", "_filesize": 4515014, "_sha256": "866b156ccf341bcffc6567582e055aed8a2431517140b0a206d11f38c861ccc8", "_created": "2026-05-26T07:59:20.000Z", "_published": "2026-05-26T08:05:57.789Z", "_distro": "noble", "_jobs": [ { "job": 77831745008, "time": 151, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7211827010" }, { "job": 77831745013, "time": 181, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7211835245" }, { "job": 77831744988, "time": 188, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7211874396" }, { "job": 77831745035, "time": 148, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7211819193" }, { "job": 77831154187, "time": 238, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7211781801" }, { "job": 77831744985, "time": 113, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7211816232" }, { "job": 77831745043, "time": 124, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7211820086" }, { "job": 77831745060, "time": 156, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7211828318" }, { "job": 77831745028, "time": 115, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7211816876" } ], "_buildurl": "https://github.com/r-universe/christianroever/actions/runs/26439791009", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/bayesmeta", "_commit": { "id": "3f62ec46f8bdea2d66e09ee5f394ef5dad9ae8bc", "author": "Christian Roever ", "committer": "cran-robot ", "message": "version 3.5\n", "time": 1756448409 }, "_maintainer": { "name": "Christian Roever", "email": "christian.roever@med.uni-goettingen.de", "login": "christianroever", "description": "", "uuid": 22442102, "orcid": "0000-0002-6911-698X" }, "_registered": true, "_dependencies": [ { "package": "forestplot", "version": ">= 2.0.0", "role": "Depends" }, { "package": "metafor", "version": ">= 2.0-0", "role": "Depends" }, { "package": "mvtnorm", "version": ">= 1.1-1", "role": "Depends" }, { "package": "numDeriv", "version": ">= 2016.8-1.1", "role": "Depends" }, { "package": "compute.es", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "R.rsp", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 2, "_updates": [ { "week": "2025-35", "n": 1 } ], "_tags": [ { "name": "3.5", "date": "2025-08-29" } ], "_stars": 3, "_contributors": [ { "user": "christianroever", "count": 21, "uuid": 22442102 } ], "_userbio": { "uuid": 22442102, "type": "user", "name": "Christian Röver" }, "_downloads": { "count": 5044, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/bayesmeta" }, "_mentions": 9, "_searchresults": 103, "_rbuild": "4.6.0", "_assets": [ "extra/bayesmeta.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "manual.pdf" ], "_realowner": "christianroever", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2015-12-06" }, { "version": "1.1", "date": "2015-12-16" }, { "version": "1.2", "date": "2016-07-03" }, { "version": "1.3", "date": "2016-11-15" }, { "version": "1.4", "date": "2017-02-17" }, { "version": "1.5", "date": "2017-07-07" }, { "version": "1.6", "date": "2017-09-08" }, { "version": "2.0", "date": "2017-11-28" }, { "version": "2.1", "date": "2018-02-06" }, { "version": "2.2", "date": "2018-04-12" }, { "version": "2.3", "date": "2018-10-11" }, { "version": "2.4", "date": "2019-08-06" }, { "version": "2.5", "date": "2020-04-20" }, { "version": "2.6", "date": "2020-12-15" }, { "version": "2.7", "date": "2021-08-12" }, { "version": "3.0", "date": "2022-02-21" }, { "version": "3.1", "date": "2022-09-14" }, { "version": "3.2", "date": "2022-09-29" }, { "version": "3.3", "date": "2023-06-27" }, { "version": "3.4", "date": "2024-02-15" }, { "version": "3.5", "date": "2025-08-29" } ], "_exports": [ "bayesmeta", "bmr", "convolve", "dhalfcauchy", "dhalflogistic", "dhalfnormal", "dhalft", "dinvchi", "dlomax", "drayleigh", "ehalfcauchy", "ehalflogistic", "ehalfnormal", "ehalft", "einvchi", "elomax", "erayleigh", "ess", "forestplot.bayesmeta", "forestplot.bmr", "forestplot.escalc", "funnel.bayesmeta", "kldiv", "normalmixture", "pairs.bmr", "phalfcauchy", "phalflogistic", "phalfnormal", "phalft", "pinvchi", "plomax", "plot.bayesmeta", "plot.bmr", "pppvalue", "prayleigh", "print.bayesmeta", "print.bmr", "print.summary.bmr", "qhalfcauchy", "qhalflogistic", "qhalfnormal", "qhalft", "qinvchi", "qlomax", "qrayleigh", "rhalfcauchy", "rhalflogistic", "rhalfnormal", "rhalft", "RhodesEtAlParameters", "RhodesEtAlPrior", "rinvchi", "rlomax", "rrayleigh", "summary.bayesmeta", "summary.bmr", "traceplot", "TurnerEtAlParameters", "TurnerEtAlPrior", "uisd", "vhalfcauchy", "vhalflogistic", "vhalfnormal", "vhalft", "vinvchi", "vlomax", "vrayleigh", "weightsplot" ], "_datasets": [ { "name": "BaetenEtAl2013", "title": "Ankylosing spondylitis example data", "object": "BaetenEtAl2013", "file": "BaetenEtAl2013.rda", "class": [ "data.frame" ], "fields": [ "study", "year", "events", "total" ], "rows": 8, "table": true, "tojson": true }, { "name": "BucherEtAl1997", "title": "Direct and indirect comparison example data", "object": "BucherEtAl1997", "file": "BucherEtAl1997.rda", "class": [ "data.frame" ], "fields": [ "study", "treat.A", "treat.B", "events.A", "total.A", "events.B", "total.B" ], "rows": 22, "table": true, "tojson": true }, { "name": "Cochran1954", "title": "Fly counts example data", "object": "Cochran1954", "file": "Cochran1954.rda", "class": [ "data.frame" ], "fields": [ "observer", "mean", "se2" ], "rows": 7, "table": true, "tojson": true }, { "name": "CrinsEtAl2014", "title": "Pediatric liver transplant example data", "object": "CrinsEtAl2014", "file": "CrinsEtAl2014.rda", "class": [ "data.frame" ], "fields": [ "publication", "year", "randomized", "control.type", "comparison", "IL2RA", "CNI", "MMF", "followup", "exp.AR.events", "exp.SRR.events", "exp.PTLD.events", "exp.deaths", "exp.total", "cont.AR.events", "cont.SRR.events", "cont.PTLD.events", "cont.deaths", "cont.total" ], "rows": 6, "table": true, "tojson": true }, { "name": "GoralczykEtAl2011", "title": "Liver transplant example data", "object": "GoralczykEtAl2011", "file": "GoralczykEtAl2011.rda", "class": [ "data.frame" ], "fields": [ "publication", "year", "randomized", "control.type", "comparison", "IL2RA", "CNI", "MMF", "followup", "exp.AR.events", "exp.SRR.events", "exp.deaths", "exp.total", "cont.AR.events", "cont.SRR.events", "cont.deaths", "cont.total" ], "rows": 19, "table": true, "tojson": true }, { "name": "HinksEtAl2010", "title": "JIA example data", "object": "HinksEtAl2010", "file": "HinksEtAl2010.rda", "class": [ "data.frame" ], "fields": [ "study", "year", "country", "or", "or.lower", "or.upper", "log.or", "log.or.se" ], "rows": 3, "table": true, "tojson": true }, { "name": "KarnerEtAl2014", "title": "COPD example data", "object": "KarnerEtAl2014", "file": "KarnerEtAl2014.rda", "class": [ "data.frame" ], "fields": [ "study", "year", "duration", "inhaler", "baseline.age", "baseline.males", "baseline.fev1", "baseline.fev1pp", "baseline.pyr", "tiotropium.total", "tiotropium.exa", "tiotropium.sexa", "tiotropium.hospi", "tiotropium.deaths", "tiotropium.sae", "tiotropium.dropout", "placebo.total", "placebo.exa", "placebo.sexa", "placebo.hospi", "placebo.deaths", "placebo.sae", "placebo.dropout", "sgrq.md", "sgrq.se", "fev1.md", "fev1.se" ], "rows": 22, "table": true, "tojson": true }, { "name": "NicholasEtAl2019", "title": "Multiple sclerosis disability progression example data", "object": "NicholasEtAl2019", "file": "NicholasEtAl2019.rda", "class": [ "data.frame" ], "fields": [ "study", "year", "patients", "prog.percent" ], "rows": 28, "table": true, "tojson": true }, { "name": "Peto1980", "title": "Aspirin after myocardial infarction example data", "object": "Peto1980", "file": "Peto1980.rda", "class": [ "data.frame" ], "fields": [ "publication", "study", "start", "end", "age", "dose", "followup", "treat.cases", "treat.events", "control.cases", "control.events" ], "rows": 6, "table": true, "tojson": true }, { "name": "RobergeEtAl2017", "title": "Aspirin during pregnancy example data", "object": "RobergeEtAl2017", "file": "RobergeEtAl2017.rda", "class": [ "data.frame" ], "fields": [ "study", "year", "N", "onset", "dose", "control", "asp.PE.events", "asp.PE.total", "cont.PE.events", "cont.PE.total", "asp.FGR.events", "asp.FGR.total", "cont.FGR.events", "cont.FGR.total" ], "rows": 45, "table": true, "tojson": true }, { "name": "Rubin1981", "title": "8-schools example data", "object": "Rubin1981", "file": "Rubin1981.rda", "class": [ "data.frame" ], "fields": [ "school", "n", "effect", "stderr" ], "rows": 8, "table": true, "tojson": true }, { "name": "SchmidliEtAl2017", "title": "Historical variance example data", "object": "SchmidliEtAl2017", "file": "SchmidliEtAl2017.rda", "class": [ "data.frame" ], "fields": [ "study", "N", "stdev", "df" ], "rows": 6, "table": true, "tojson": true }, { "name": "SidikJonkman2007", "title": "Postoperative complication odds example data", "object": "SidikJonkman2007", "file": "SidikJonkman2007.rda", "class": [ "data.frame" ], "fields": [ "id", "id.sj", "year", "lihr.events", "lihr.cases", "oihr.events", "oihr.cases" ], "rows": 29, "table": true, "tojson": true }, { "name": "SnedecorCochran", "title": "Artificial insemination of cows example data", "object": "SnedecorCochran", "file": "SnedecorCochran.rda", "class": [ "data.frame" ], "fields": [ "no", "n", "mean", "var" ], "rows": 6, "table": true, "tojson": true } ], "_help": [ { "page": "bayesmeta-package", "title": "Bayesian Random-Effects Meta-Analysis and Meta-Regression", "topics": [ "bayesmeta-package" ] }, { "page": "BaetenEtAl2013", "title": "Ankylosing spondylitis example data", "topics": [ "BaetenEtAl2013" ] }, { "page": "bayesmeta", "title": "Bayesian random-effects meta-analysis", "concept": [ "random effects meta analysis", "random effects model" ], "topics": [ "bayesmeta", "bayesmeta.default", "bayesmeta.escalc", "print.bayesmeta", "summary.bayesmeta" ] }, { "page": "bmr", "title": "Bayesian random-effects meta-regression", "concept": [ "random effects meta analysis", "random effects meta regression", "random effects model" ], "topics": [ "bmr", "bmr.default", "bmr.escalc", "pairs.bmr", "plot.bmr", "print.bmr" ] }, { "page": "BucherEtAl1997", "title": "Direct and indirect comparison example data", "topics": [ "BucherEtAl1997" ] }, { "page": "Cochran1954", "title": "Fly counts example data", "topics": [ "Cochran1954" ] }, { "page": "convolve", "title": "Convolution of two probability distributions", "topics": [ "convolve" ] }, { "page": "CrinsEtAl2014", "title": "Pediatric liver transplant example data", "topics": [ "CrinsEtAl2014" ] }, { "page": "dhalflogistic", "title": "Half-logistic distribution.", "topics": [ "dhalflogistic", "ehalflogistic", "phalflogistic", "qhalflogistic", "rhalflogistic", "vhalflogistic" ] }, { "page": "dhalfnormal", "title": "Half-normal, half-Student-t and half-Cauchy distributions.", "topics": [ "dhalfcauchy", "dhalfnormal", "dhalft", "ehalfcauchy", "ehalfnormal", "ehalft", "phalfcauchy", "phalfnormal", "phalft", "qhalfcauchy", "qhalfnormal", "qhalft", "rhalfcauchy", "rhalfnormal", "rhalft", "vhalfcauchy", "vhalfnormal", "vhalft" ] }, { "page": "dinvchi", "title": "Inverse-Chi distribution.", "topics": [ "dinvchi", "einvchi", "pinvchi", "qinvchi", "rinvchi", "vinvchi" ] }, { "page": "dlomax", "title": "The Lomax distribution.", "topics": [ "dlomax", "elomax", "plomax", "qlomax", "rlomax", "vlomax" ] }, { "page": "drayleigh", "title": "The Rayleigh distribution.", "topics": [ "drayleigh", "erayleigh", "prayleigh", "qrayleigh", "rrayleigh", "vrayleigh" ] }, { "page": "ess", "title": "Effective sample size (ESS)", "concept": [ "Effective sample size (ESS)" ], "topics": [ "ess", "ess.bayesmeta" ] }, { "page": "forest.bayesmeta", "title": "Generate a forest plot for a 'bayesmeta' object (based on the 'metafor' package's plotting functions).", "topics": [ "forest.bayesmeta" ] }, { "page": "forestplot.bayesmeta", "title": "Generate a forest plot for a 'bayesmeta' object (based on the 'forestplot' package's plotting functions).", "topics": [ "forestplot.bayesmeta" ] }, { "page": "forestplot.bmr", "title": "Generate a forest plot for a 'bmr' object (based on the 'forestplot' package's plotting functions).", "topics": [ "forestplot.bmr" ] }, { "page": "forestplot.escalc", "title": "Generate a forest plot for an 'escalc' object (based on the 'forestplot' package's plotting functions).", "topics": [ "forestplot.escalc" ] }, { "page": "funnel.bayesmeta", "title": "Generate a funnel plot for a 'bayesmeta' object.", "topics": [ "funnel.bayesmeta" ] }, { "page": "GoralczykEtAl2011", "title": "Liver transplant example data", "topics": [ "GoralczykEtAl2011" ] }, { "page": "HinksEtAl2010", "title": "JIA example data", "topics": [ "HinksEtAl2010" ] }, { "page": "KarnerEtAl2014", "title": "COPD example data", "topics": [ "KarnerEtAl2014" ] }, { "page": "kldiv", "title": "Kullback-Leibler divergence of two multivariate normal distributions.", "topics": [ "kldiv" ] }, { "page": "NicholasEtAl2019", "title": "Multiple sclerosis disability progression example data", "topics": [ "NicholasEtAl2019" ] }, { "page": "normalmixture", "title": "Compute normal mixtures", "topics": [ "normalmixture" ] }, { "page": "Peto1980", "title": "Aspirin after myocardial infarction example data", "topics": [ "Peto1980" ] }, { "page": "plot.bayesmeta", "title": "Generate summary plots for a 'bayesmeta' object.", "topics": [ "plot.bayesmeta" ] }, { "page": "pppvalue", "title": "Posterior predictive p-values", "topics": [ "pppvalue" ] }, { "page": "RhodesEtAlPrior", "title": "Heterogeneity priors for continuous outcomes (standardized mean differences) as proposed by Rhodes et al. (2015).", "topics": [ "RhodesEtAlParameters", "RhodesEtAlPrior" ] }, { "page": "RobergeEtAl2017", "title": "Aspirin during pregnancy example data", "topics": [ "RobergeEtAl2017" ] }, { "page": "Rubin1981", "title": "8-schools example data", "topics": [ "Rubin1981" ] }, { "page": "SchmidliEtAl2017", "title": "Historical variance example data", "topics": [ "SchmidliEtAl2017" ] }, { "page": "SidikJonkman2007", "title": "Postoperative complication odds example data", "topics": [ "SidikJonkman2007" ] }, { "page": "SnedecorCochran", "title": "Artificial insemination of cows example data", "topics": [ "SnedecorCochran" ] }, { "page": "summary.bmr", "title": "Summarizing a 'bmr' object).", "topics": [ "print.summary.bmr", "summary.bmr" ] }, { "page": "traceplot.bayesmeta", "title": "Illustrate conditional means of study-specific estimates as well as overall mean (or other linear combinations) as a function of heterogeneity.", "topics": [ "traceplot", "traceplot.bayesmeta", "traceplot.bmr", "traceplot.default" ] }, { "page": "TurnerEtAlPrior", "title": "(Log-Normal) heterogeneity priors for binary outcomes as proposed by Turner et al. (2015).", "topics": [ "TurnerEtAlParameters", "TurnerEtAlPrior" ] }, { "page": "uisd", "title": "Unit information standard deviation", "concept": [ "unit information standard deviation" ], "topics": [ "uisd", "uisd.default", "uisd.escalc" ] }, { "page": "weightsplot.bayesmeta", "title": "Illustrate the posterior mean weights for a 'bayesmeta' object.", "topics": [ "weightsplot", "weightsplot.bayesmeta", "weightsplot.default" ] } ], "_rundeps": [ "abind", "backports", "checkmate", "digest", "forestplot", "lattice", "mathjaxr", "Matrix", "metadat", "metafor", "mvtnorm", "nlme", "numDeriv", "pbapply" ], "_vignettes": [ { "source": "Roever2020-bayesmeta.pdf.asis", "filename": "Roever2020-bayesmeta.pdf", "title": "Bayesian random-effects meta-analysis using the bayesmeta R package", "engine": "R.rsp::asis", "headings": [], "created": "2020-12-15 11:40:07", "modified": "2020-12-15 11:40:07", "commits": 1 }, { "source": "bayesmeta.Rmd", "filename": "bayesmeta.html", "title": "An introduction to meta-analysis using the bayesmeta package", "author": "Christian Röver", "engine": "knitr::rmarkdown", "headings": [ "The problem", "Estimates and standard errors", "Computing effect sizes", "The random effects model", "Parameter estimation in the random effects model", "The technical side", "Prior & posterior", "Prior information for the effect parameter $\\mu$", "Prior information for the heterogeneity parameter $\\tau$", "Inference", "The practical side", "A simple example", "More detailed analysis", "References" ], "created": "2015-12-16 16:09:30", "modified": "2025-08-29 06:20:09", "commits": 8 }, { "source": "RoeverFriede2023-UsingBayesmetaForMetaRegression.pdf.asis", "filename": "RoeverFriede2023-UsingBayesmetaForMetaRegression.pdf", "title": "Using the bayesmeta R package for Bayesian random-effects meta-regression", "engine": "R.rsp::asis", "headings": [], "created": "2023-06-27 08:40:02", "modified": "2023-06-27 08:40:02", "commits": 1 } ], "_score": 6.40224857186851, "_indexed": true, "_nocasepkg": "bayesmeta", "_universes": [ "christianroever" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "3.5", "date": "2026-05-26T08:01:32.000Z", "distro": "noble", "commit": "3f62ec46f8bdea2d66e09ee5f394ef5dad9ae8bc", "fileid": "4aca68f9bcbf72eb766fdcf245b8c156b42a65b1bfa0edcad3281536073ca89e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/christianroever/actions/runs/26439791009" }, { "r": "4.6.0", "os": "linux", "version": "3.5", "date": "2026-05-26T08:02:05.000Z", "distro": "noble", "commit": "3f62ec46f8bdea2d66e09ee5f394ef5dad9ae8bc", "fileid": "b1cd836a3213f843f6dab17e404b064c10d15a5ac6e9e4acd242c1340f86a858", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/christianroever/actions/runs/26439791009" }, { "r": "4.5.3", "os": "mac", "version": "3.5", "date": "2026-05-26T08:04:27.000Z", "commit": "3f62ec46f8bdea2d66e09ee5f394ef5dad9ae8bc", "fileid": "2dabe22623305953f484e2ca0a6f6152cafb3407888a394a40a1f14b20b827bd", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/christianroever/actions/runs/26439791009" }, { "r": "4.6.0", "os": "mac", "version": "3.5", "date": "2026-05-26T08:01:25.000Z", "commit": "3f62ec46f8bdea2d66e09ee5f394ef5dad9ae8bc", "fileid": "240c8872784f3c7ac6b815682782e0ff000753dfe41d65cdcadf94da7e7592c0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/christianroever/actions/runs/26439791009" }, { "r": "4.6.0", "os": "wasm", "version": "3.5", "date": "2026-05-26T08:01:41.000Z", "commit": "3f62ec46f8bdea2d66e09ee5f394ef5dad9ae8bc", "fileid": "9de0bb2637d85fac378c29999aeac706e9fd9fa93996fd9324b7aa7ef9f80fa0", "status": "success", "buildurl": "https://github.com/r-universe/christianroever/actions/runs/26439791009" }, { "r": "4.7.0", "os": "win", "version": "3.5", "date": "2026-05-26T08:00:58.000Z", "commit": "3f62ec46f8bdea2d66e09ee5f394ef5dad9ae8bc", "fileid": "3733c4e411afaec48ee1ee91835286ab5409baf765498252c2f2ce3bbaba14dc", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/christianroever/actions/runs/26439791009" }, { "r": "4.5.3", "os": "win", "version": "3.5", "date": "2026-05-26T08:01:27.000Z", "commit": "3f62ec46f8bdea2d66e09ee5f394ef5dad9ae8bc", "fileid": "dacfaf8b42b4168bbd72be3ca6d3595e6327f9709cff94c66f7f57594dc628fa", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/christianroever/actions/runs/26439791009" }, { "r": "4.6.0", "os": "win", "version": "3.5", "date": "2026-05-26T08:00:47.000Z", "commit": "3f62ec46f8bdea2d66e09ee5f394ef5dad9ae8bc", "fileid": "8c2fc8c776b2e515b6d180355ecfa0529ec417a13e17c46773bba9f4eef0b16e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/christianroever/actions/runs/26439791009" } ] }