{ "_id": "6a1020b2acfb0bcc41c8bb88", "Package": "safestats", "Type": "Package", "Title": "Safe Anytime-Valid Inference", "Version": "0.8.7", "Authors@R": "c(\nperson(\"Rosanne\", \"Turner\", email = \"rosanne.turner@cwi.nl\",\nrole = \"aut\"),\nperson(\"Alexander\", \"Ly\", email = \"a.ly@jasp-stats.org\",\nrole = c(\"cre\", \"aut\")),\nperson(\"Muriel Felipe\", \"Perez-Ortiz\", email = \"Muriel.Perez@cwi.nl\",\nrole = c(\"ctb\")),\nperson(\"Judith\", \"ter Schure\", email = \"Judith.ter.Schure@cwi.nl\",\nrole = c(\"ctb\")),\nperson(\"Peter\", \"Grunwald\", email = \"Peter.Grunwald@cwi.nl\",\nrole = c(\"ctb\"))\n)", "Maintainer": "Alexander Ly ", "Description": "Functions to design and apply tests that are anytime\nvalid. The functions can be used to design hypothesis tests in\nthe prospective/randomised control trial setting or in the\nobservational/retrospective setting. The resulting tests remain\nvalid under both optional stopping and optional continuation.\nThe current version includes safe t-tests and safe tests of two\nproportions. For details on the theory of safe tests, see\nGrunwald, de Heide and Koolen (2019) \"Safe Testing\"\n, for details on safe logrank tests see ter\nSchure, Perez-Ortiz, Ly and Grunwald (2020) \"The Safe Logrank\nTest: Error Control under Continuous Monitoring with Unlimited\nHorizon\" and Turner, Ly and Grunwald\n(2021) \"Safe Tests and Always-Valid Confidence Intervals for\ncontingency tables and beyond\" for details\non safe contingency table tests.", "License": "LGPL (>= 3)", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "RoxygenNote": "7.2.2", "Language": "en-GB", "Config/testthat/edition": "3", "Config/pak/sysreqs": "pari-gp", "Repository": "https://alexanderlynl.r-universe.dev", "Date/Publication": "2022-11-24 14:53:10 UTC", "RemoteUrl": "https://github.com/alexanderlynl/safestats", "RemoteRef": "HEAD", "RemoteSha": "67b00855feec385c49f437bbae0541ad363673a3", "Packaged": { "Date": "2026-05-14 06:05:24 UTC", "User": "root" }, "Author": "Rosanne Turner [aut],\nAlexander Ly [cre, aut],\nMuriel Felipe Perez-Ortiz [ctb],\nJudith ter Schure [ctb],\nPeter Grunwald [ctb]", "MD5sum": "b05063b46a93fd1b5e714fb6d933d30b", "_user": "alexanderlynl", "_type": "src", "_file": "safestats_0.8.7.tar.gz", "_fileid": "c545ff430b8d066da098de757b79d2fa773fecb210e087a7bd5db5ef0494fa4b", "_filesize": 4023044, "_sha256": "c545ff430b8d066da098de757b79d2fa773fecb210e087a7bd5db5ef0494fa4b", "_created": "2026-05-14T06:05:24.000Z", "_published": "2026-05-22T09:24:02.007Z", "_distro": "noble", "_jobs": [ { "job": 77352031492, "time": 182, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6988292657" }, { "job": 77352031477, "time": 186, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6988293358" }, { "job": 77352032011, "time": 285, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "6988303630" }, { "job": 77352031837, "time": 187, "config": "macos-release-arm64", "r": "4.6.0", "check": 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"_maintainer": { "name": "Alexander Ly", "email": "a.ly@jasp-stats.org", "login": "alexanderlynl", "uuid": 10271675 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.6", "role": "Depends" }, { "package": "stats", "version": ">= 3.6", "role": "Imports" }, { "package": "hypergeo", "version": ">= 1.2-13", "role": "Imports" }, { "package": "survival", "version": ">= 3.2-13", "role": "Imports" }, { "package": "BiasedUrn", "version": ">= 1.07", "role": "Imports" }, { "package": "boot", "version": ">= 1.3-28", "role": "Imports" }, { "package": "dplyr", "version": ">= 1.0.6", "role": "Imports" }, { "package": "purrr", "version": ">= 0.3.5", "role": "Imports" }, { "package": "rlang", "version": ">= 1.0.6", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "graphics", "role": "Suggests" } ], "_owner": "alexanderlynl", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_topics": [ "evalues", "hacktoberfest", "safe-testing", "statistics" ], "_stars": 11, "_contributors": [ { "user": "alexanderlynl", "count": 86, "uuid": 10271675 }, { "user": "rosanneturner", "count": 23, "uuid": 54638455 }, { "user": "judithterschure", "count": 1, "uuid": 50576181 } ], "_userbio": { "uuid": 10271675, "type": "user", "name": "AlexanderLyNL" }, "_downloads": { "count": 262, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/safestats" }, "_devurl": "https://github.com/alexanderlynl/safestats", "_searchresults": 40, "_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/safestats.html", "manual.pdf" ], "_homeurl": "https://github.com/alexanderlynl/safestats", "_realowner": "alexanderlynl", "_cranurl": true, "_releases": [ { "version": "0.8.6", "date": "2022-02-01" }, { "version": "0.8.7", "date": "2022-11-24" } ], "_exports": [ "checkDoubleArgumentsDesignObject", "computeBetaSafeT", "computeBetaSafeZ", "computeBootObj", "computeConfidenceBoundForLogOddsTwoProportions", "computeConfidenceBoundsForDifferenceTwoProportions", "computeConfidenceIntervalT", "computeConfidenceIntervalZ", "computeLogrankBetaFrom", "computeLogrankNEvents", "computeLogrankZ", "computeNPlanSafeT", "computeNPlanSafeZ", "computeStatsForLogrank", "designFreqT", "designFreqZ", "designPilotSafeT", "designPilotSafeZ", "designSafeLogrank", "designSafeT", "designSafeTwoProportions", "designSafeZ", "generateNormalData", "generateSurvData", "isTryError", "logrankSingleEExact", "logrankSingleZ", "plotConfidenceSequenceTwoProportions", "plotHistogramDistributionStoppingTimes", "plotSafeTDesignSampleSizeProfile", "replicateTTests", "returnOne", "rLogrank", "safe.prop.test", "safe.t.test", "safe.z.test", "safeLogrankTest", "safeLogrankTestStat", "safeTTest", "safeTTestStat", "safeTwoProportionsTest", "safeZ10Inverse", "safeZTest", "safeZTestStat", "sampleLogrankStoppingTimes", "sampleStoppingTimesSafeT", "sampleStoppingTimesSafeZ", "selectivelyContinueTTestCombineData", "setSafeStatsPlotOptionsAndReturnOldOnes", "simulateCoverageDifferenceTwoProportions", "simulateIncorrectStoppingTimesFisher", "simulateOptionalStoppingScenarioTwoProportions", "simulateTwoProportions" ], "_help": [ { "page": "checkAndReturnsEsMinParameterSide", "title": "Checks consistency between the sided of the hypothesis and the minimal clinically relevant effect size or safe test defining parameter. Throws an error if the one-sided hypothesis is incongruent with the", "topics": [ "checkAndReturnsEsMinParameterSide" ] }, { "page": "checkAndReturnsNPlan", "title": "Check consistency between nPlan and the testType for one and two-sample z and t-tests", "topics": [ "checkAndReturnsNPlan" ] }, { "page": "checkDoubleArgumentsDesignObject", "title": "Helper function to check whether arguments are specified in a function at a higher level and already provided in the design object.", "topics": [ "checkDoubleArgumentsDesignObject" ] }, { "page": "computeBetaBatchSafeZ", "title": "Helper function: Computes the type II error based on the minimal clinically relevant effect size and sample size.", "topics": [ "computeBetaBatchSafeZ" ] }, { "page": "computeBetaSafeT", "title": "Helper function: Computes the type II error of the safeTTest based on the minimal clinically relevant standardised mean difference and nPlan.", "topics": [ "computeBetaSafeT" ] }, { "page": "computeBetaSafeZ", "title": "Helper function: Computes the type II error based on the minimal clinically relevant mean difference and nPlan", "topics": [ "computeBetaSafeZ" ] }, { "page": "computeBootObj", "title": "Computes the bootObj for sequential sampling procedures regarding nPlan, beta, the implied target", "topics": [ "computeBootObj" ] }, { "page": "computeConfidenceBoundForLogOddsTwoProportions", "title": "Estimate an upper or lower bound for a safe confidence sequence on the logarithm of the odds ratio for two proportions.", "topics": [ "computeConfidenceBoundForLogOddsTwoProportions" ] }, { "page": "computeConfidenceBoundsForDifferenceTwoProportions", "title": "Estimate Lower and Upper Bounds on the Confidence Sequence (Interval) for the Difference Divergence Measure for Two Proportions", "topics": [ "computeConfidenceBoundsForDifferenceTwoProportions" ] }, { "page": "computeConfidenceIntervalT", "title": "Helper function: Computes the safe confidence sequence for the mean in a t-test", "topics": [ "computeConfidenceIntervalT" ] }, { "page": "computeConfidenceIntervalZ", "title": "Helper function: Computes the safe confidence sequence for a z-test", "topics": [ "computeConfidenceIntervalZ" ] }, { "page": "computeEsMinSafeT", "title": "Helper function: Computes the minimal clinically relevant standardised mean difference for the safe t-test nPlan and beta.", "topics": [ "computeEsMinSafeT" ] }, { "page": "computeLogrankBetaFrom", "title": "Helper function: Computes the type II error under optional stopping based on the minimal clinically relevant hazard ratio and the maximum number of nEvents.", "topics": [ "computeLogrankBetaFrom" ] }, { "page": "computeLogrankNEvents", "title": "Helper function: Computes the planned sample size based on the minimal clinical relevant hazard ratio, alpha and beta under optional stopping.", "topics": [ "computeLogrankNEvents" ] }, { "page": "computeLogrankZ", "title": "Helper function to computes the logrank statistic for 'Surv' objects of type \"right\" and \"counting\" with the hypergeometric variance.", "topics": [ "computeLogrankZ" ] }, { "page": "computeMinEsBatchSafeZ", "title": "Computes the smallest mean difference that is detectable with chance 1-beta, for the provided sample size", "topics": [ "computeMinEsBatchSafeZ" ] }, { "page": "computeNEff", "title": "Help function to compute the effective sample size based on a length 2 vector of samples", "topics": [ "computeNEff" ] }, { "page": "computeNPlanBatchSafeT", "title": "Helper function: Computes the planned sample size for the safe t-test based on the minimal clinically relevant standardised effect size, alpha and beta.", "topics": [ "computeNPlanBatchSafeT" ] }, { "page": "computeNPlanBatchSafeZ", "title": "Helper function: Computes the planned sample size based on the minimal clinical relevant mean difference, alpha and beta.", "topics": [ "computeNPlanBatchSafeZ" ] }, { "page": "computeNPlanSafeT", "title": "Helper function: Computes the planned sample size of the safe t-test based on the minimal clinical relevant standardised mean difference.", "topics": [ "computeNPlanSafeT" ] }, { "page": "computeNPlanSafeZ", "title": "Helper function: Computes the planned sample size based on the minimal clinical relevant mean difference, alpha and beta", "topics": [ "computeNPlanSafeZ" ] }, { "page": "computeStatsForLogrank", "title": "Computes the sufficient statistics needed to compute 'logrankSingleZ'", "topics": [ "computeStatsForLogrank" ] }, { "page": "defineTTestN", "title": "Computes a Sequence of (Effective) Sample Sizes", "topics": [ "defineTTestN" ] }, { "page": "designFreqT", "title": "Design a Frequentist T-Test", "topics": [ "designFreqT" ] }, { "page": "designFreqZ", "title": "Design a Frequentist Z-Test", "topics": [ "designFreqZ" ] }, { "page": "designPilotSafeT", "title": "Designs a Safe T-Test Based on Planned Samples nPlan", "topics": [ "designPilotSafeT" ] }, { "page": "designPilotSafeZ", "title": "Designs a Safe Z-Test Based on Planned Samples nPlan", "topics": [ "designPilotSafeZ" ] }, { "page": "designSafeLogrank", "title": "Designs a Safe Logrank Test Experiment", "topics": [ "designSafeLogrank" ] }, { "page": "designSafeT", "title": "Designs a Safe Experiment to Test Means with a T Test", "topics": [ "designSafeT" ] }, { "page": "designSafeTwoProportions", "title": "Designs a Safe Experiment to Test Two Proportions in Stream Data", "topics": [ "designSafeTwoProportions" ] }, { "page": "designSafeZ", "title": "Designs a Safe Z Experiment", "topics": [ "designSafeZ" ] }, { "page": "extractNameFromArgs", "title": "Helper function: Get all names as entered by the user", "topics": [ "extractNameFromArgs" ] }, { "page": "generateNormalData", "title": "Generates Normally Distributed Data Depending on the Design", "topics": [ "generateNormalData" ] }, { "page": "generateSurvData", "title": "Generate Survival Data which Can Be Analysed With the `survival` Package", "topics": [ "generateSurvData" ] }, { "page": "getArgs", "title": "Helper function: Get all arguments as entered by the user", "topics": [ "getArgs" ] }, { "page": "getNameAlternative", "title": "Gets the Label of the Alternative Hypothesis", "topics": [ "getNameAlternative" ] }, { "page": "getNameTestType", "title": "Gets the Label of the Test", "topics": [ "getNameTestType" ] }, { "page": "isTryError", "title": "Checks Whether a Vector of Object Inherits from the Class 'try-error'", "topics": [ "isTryError" ] }, { "page": "logrankSingleEExact", "title": "Helper function computes single component of the exact logrank e-value", "topics": [ "logrankSingleEExact" ] }, { "page": "logrankSingleZ", "title": "Helper function computes single component of the logrank statistic", "topics": [ "logrankSingleZ" ] }, { "page": "plot.safe2x2Sim", "title": "Plots Results of Simulations for Comparing Hyperparameters for Safe Tests of Two Proportions", "topics": [ "plot.safe2x2Sim" ] }, { "page": "plot.safeTSim", "title": "Plots a 'safeTSim' Object", "topics": [ "plot.safeTSim" ] }, { "page": "plotConfidenceSequenceTwoProportions", "title": "Plot bounds of a safe confidence sequence of the difference or log odds ratio for two proportions against the number of data blocks in two data streams ya and yb.", "topics": [ "plotConfidenceSequenceTwoProportions" ] }, { "page": "plotHistogramDistributionStoppingTimes", "title": "Plots the Histogram of Stopping Times", "topics": [ "plotHistogramDistributionStoppingTimes" ] }, { "page": "plotSafeTDesignSampleSizeProfile", "title": "Plots the Sample Sizes Necessary for a Tolerable Alpha and Beta as a Function of deltaMin", "topics": [ "plotSafeTDesignSampleSizeProfile" ] }, { "page": "print.safe2x2Sim", "title": "Prints Results of Simulations for Comparing Hyperparameters for Safe Tests of Two Proportions", "topics": [ "print.safe2x2Sim" ] }, { "page": "print.safeDesign", "title": "Print Method for Safe Tests", "topics": [ "print.safeDesign" ] }, { "page": "print.safeTest", "title": "Print Method for Safe Tests", "topics": [ "print.safeTest" ] }, { "page": "print.safeTSim", "title": "Prints a safeTSim Object", "topics": [ "print.safeTSim" ] }, { "page": "replicateTTests", "title": "Simulate Early Stopping Experiments", "topics": [ "replicateTTests" ] }, { "page": "returnOne", "title": "Auxiliary function for sampling of the logrank simulations to return the integer 1 event per time.", "topics": [ "returnOne" ] }, { "page": "rLogrank", "title": "Randomly samples from a logrank distribution", "topics": [ "rLogrank" ] }, { "page": "safeLogrankTest", "title": "Safe Logrank Test", "topics": [ "safeLogrankTest", "safeLogrankTestStat" ] }, { "page": "safeTTest", "title": "Safe Student's T-Test.", "topics": [ "safe.t.test", "safeTTest" ] }, { "page": "safeTTestStat", "title": "Computes E-Values Based on the T-Statistic", "topics": [ "safeTTestStat" ] }, { "page": "safeTTestStatAlpha", "title": "safeTTestStat() Subtracted with 1/alpha.", "topics": [ "safeTTestStatAlpha" ] }, { "page": "safeTTestStatTDensity", "title": "safeTTestStat() based on t-densities", "topics": [ "safeTTestStatTDensity" ] }, { "page": "safeTwoProportionsTest", "title": "Perform a Safe Test for Two Proportions with Stream Data", "topics": [ "safe.prop.test", "safeTwoProportionsTest" ] }, { "page": "safeZ10Inverse", "title": "Computes the Inverse of the Two-Sided Safe Z-Test", "topics": [ "safeZ10Inverse" ] }, { "page": "safeZTest", "title": "Safe Z-Test", "topics": [ "safe.z.test", "safeZTest" ] }, { "page": "safeZTestStat", "title": "Computes E-Values Based on the Z-Statistic", "topics": [ "safeZTestStat" ] }, { "page": "sampleLogrankStoppingTimes", "title": "Simulate stopping times for the exact safe logrank test", "topics": [ "sampleLogrankStoppingTimes" ] }, { "page": "sampleStoppingTimesSafeT", "title": "Simulate stopping times for the safe z-test", "topics": [ "sampleStoppingTimesSafeT" ] }, { "page": "sampleStoppingTimesSafeZ", "title": "Simulate stopping times for the safe z-test", "topics": [ "sampleStoppingTimesSafeZ" ] }, { "page": "selectivelyContinueTTestCombineData", "title": "Selectively Continue Experiments that Did Not Lead to a Null Rejection for a (Safe) T-Test", "topics": [ "selectivelyContinueTTestCombineData" ] }, { "page": "setSafeStatsPlotOptionsAndReturnOldOnes", "title": "Sets 'safestats' Plot Options and Returns the Current Plot Options.", "topics": [ "setSafeStatsPlotOptionsAndReturnOldOnes" ] }, { "page": "simulate.safeDesign", "title": "Simulate Early Stopping Experiments for the T Test", "topics": [ "simulate.safeDesign" ] }, { "page": "simulateCoverageDifferenceTwoProportions", "title": "Simulate the coverage of a safe confidence sequence for differences between proportions for a given distribution and safe design.", "topics": [ "simulateCoverageDifferenceTwoProportions" ] }, { "page": "simulateIncorrectStoppingTimesFisher", "title": "Simulate incorrect optional stopping with fisher's exact test's p-value as the stopping rule.", "topics": [ "simulateIncorrectStoppingTimesFisher" ] }, { "page": "simulateOptionalStoppingScenarioTwoProportions", "title": "Simulate an optional stopping scenario according to a safe design for two proportions", "topics": [ "simulateOptionalStoppingScenarioTwoProportions" ] }, { "page": "simulateTwoProportions", "title": "Compare Different Hyperparameter Settings for Safe Tests of Two Proportions.", "topics": [ "simulateTwoProportions" ] }, { "page": "tryOrFailWithNA", "title": "Tries to Evaluate an Expression and Fails with 'NA'", "topics": [ "tryOrFailWithNA" ] } ], "_readme": "https://github.com/alexanderlynl/safestats/raw/HEAD/README.md", "_rundeps": [ "BiasedUrn", "boot", "cli", "contfrac", "deSolve", "dplyr", "elliptic", "generics", "glue", "hypergeo", "lattice", "lifecycle", "magrittr", "MASS", "Matrix", "pillar", "pkgconfig", "purrr", "R6", "rlang", "survival", "tibble", "tidyselect", "utf8", "vctrs", "withr" ], "_vignettes": [ { "source": "contingency-tables-vignette.Rmd", "filename": "contingency-tables-vignette.html", "title": "Safe Tests and Confidence Intervals for Tests of Two Proportions: Practical Scenarios", "author": "Rosanne Turner, Alexander Ly and Peter Grünwald", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "1. Designing Safe Experiments", "Case (I): Designing experiments with the minimal clinically relevant effect size known", "Case (II): Minimal clinically relevant effect size unknown, but maximum number of samples known.", "Short examples of non-standard design settings", "Unequal group sizes", "Non-standard Beta priors", "Restricting the alternative hypothesis", "2. Inference with Safe Tests and Optional Stopping", "True effect size equals minimal clinically relevant effect size", "True effect size larger than the minimal clinically relevant effect size", "Data under the null: True effect size is zero, thus, much smaller than the minimal clinically relevant effect size", "Classical test \"Fisher's exact test\" under the null with optional stopping", "3. Optional Continuation for tests of two proportions", "4. Confidence intervals", "Confidence sequence for difference between success rates", "Confidence sequence for log of the odds ratio", "References" ], "created": "2022-01-06 16:18:06", "modified": "2022-11-23 15:46:42", "commits": 4 }, { "source": "safestats-vignette.Rmd", "filename": "safestats-vignette.html", "title": "Safe Flexible Hypothesis Tests for Practical Scenarios", "author": "Alexander Ly and Rosanne Turner", "engine": "knitr::rmarkdown", "headings": [ "Installation", "1. Designing safe t-test experiments", "Type I error and type II errors", "Case (I): Designing experiments with the minimal clinically relevant effect size known", "Case (II): Minimal clinically relevant effect size unknown, but maximum number of samples known.", "2. Inference with safe tests: Optional stopping", "Safe tests conserve the type I error rate: Batch analysis", "Safe tests allow for early stopping without inflating the type I error rate above the tolerable $\\alpha$-level", "Optional stopping does not causes safe tests to over-reject the null, but is problematic for p-values", "Safe tests detect the effect early if it is present: deltaTrue equal to deltaMin", "Safe tests detect the effect even earlier if it is larger than expected", "3. Optional Continuation", "Optional continuation is problematic for p-values and leads to overinflating the type I error rate", "Two ways to optionally continue studies with safe tests", "i. Optional continuation by extending the experiment does not result in safe tests exceeding the tolerable $\\alpha$-level", "When the effect is present optional continuation results in safe tests correctly rejecting the null", "ii. Optional continuation through replication studies", "Type I error is guaranteed when multiplying e-values", "Multiplying e-values under the alternative", "Conclusion" ], "created": "2020-02-07 23:55:38", "modified": "2022-11-23 15:46:42", "commits": 10 } ], "_score": 5.944482672150168, "_indexed": true, "_nocasepkg": "safestats", "_universes": [ "alexanderlynl" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.8.7", "date": "2026-05-14T06:07:54.000Z", "distro": "noble", "commit": "67b00855feec385c49f437bbae0541ad363673a3", "fileid": "0a11f1464305de23962726eaf9735d1178cf349c79761fc51c49233ffdd1a0c2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alexanderlynl/actions/runs/25844631098" }, { "r": "4.6.0", "os": "linux", "version": "0.8.7", "date": "2026-05-14T06:07:55.000Z", "distro": "noble", "commit": "67b00855feec385c49f437bbae0541ad363673a3", "fileid": "2be00873a7ea65250dc5a27ce742db25f6a5cba288c302fd297fd7979d1e97c6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alexanderlynl/actions/runs/25844631098" }, { "r": "4.5.3", "os": "mac", "version": "0.8.7", "date": "2026-05-14T06:08:39.000Z", "commit": "67b00855feec385c49f437bbae0541ad363673a3", "fileid": "b8932c05e852326fc78bba23e7425fcf7e01007e26a71942828d5f63162b5e7e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alexanderlynl/actions/runs/25844631098" }, { "r": "4.6.0", "os": "mac", "version": "0.8.7", "date": "2026-05-14T06:07:30.000Z", "commit": "67b00855feec385c49f437bbae0541ad363673a3", "fileid": "8ca02e74fb9539c1095d7d30885ebc016da1b4390497504480511f88363e63d8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alexanderlynl/actions/runs/25844631098" }, { "r": "4.7.0", "os": "win", "version": "0.8.7", "date": "2026-05-14T06:07:35.000Z", "commit": "67b00855feec385c49f437bbae0541ad363673a3", "fileid": "7bfed1e41c05ce73e8f41561e86bd9d3696a1067f9eee8605b9bd519c8cacfde", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alexanderlynl/actions/runs/25844631098" }, { "r": "4.5.3", "os": "win", "version": "0.8.7", "date": "2026-05-14T06:06:51.000Z", "commit": "67b00855feec385c49f437bbae0541ad363673a3", "fileid": "7335ddc0a0c56ad440f058e5e95a65747b2850462b36ded2feb336d0a34ff7f7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alexanderlynl/actions/runs/25844631098" }, { "r": "4.6.0", "os": "win", "version": "0.8.7", "date": "2026-05-14T06:06:56.000Z", "commit": "67b00855feec385c49f437bbae0541ad363673a3", "fileid": "f0759472d173ebfe8023ecb1ce7cf03621544e9f96159fe452c8b456d36d3ef4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alexanderlynl/actions/runs/25844631098" }, { "r": "4.6.0", "os": "wasm", "version": "0.8.7", "date": "2026-05-22T09:23:42.000Z", "commit": "67b00855feec385c49f437bbae0541ad363673a3", "fileid": "ac874456225db676c83cb5d370ceb5fe41620e280dd61aa162df74332410655d", "status": "success", "buildurl": "https://github.com/r-universe/alexanderlynl/actions/runs/25844631098" } ] }