{ "_id": "6ad1ef650edca5be25022953", "Package": "lestat", "Version": "1.9", "Date": "2018-06-12", "Title": "A Package for Learning Statistics", "Author": "Petter Mostad ", "Maintainer": "Petter Mostad ", "Description": "Some simple objects and functions to do statistics using\nlinear models and a Bayesian framework.", "License": "GPL-2", "LazyLoad": "yes", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-16 09:00:01 UTC", "User": "root" }, "Repository": "https://pettermostad.r-universe.dev", "Date/Publication": "2018-06-12 17:29:29 UTC", "RemoteUrl": "https://github.com/cran/lestat", "RemoteRef": "HEAD", "RemoteSha": "421a9c585b26d41c1db4c51bd2f9a73588b15ecf", "_user": "pettermostad", "_type": "src", "_file": "lestat_1.9.tar.gz", "_fileid": "https://r2.ropensci.org/6ef40fb11b2b31a6015248e76adb3cdc94fb1738fc0bb5f8c8c2ad2a5ed2f096", "_filesize": 286382, "_sha256": "6ef40fb11b2b31a6015248e76adb3cdc94fb1738fc0bb5f8c8c2ad2a5ed2f096", "_expires": "2027-01-24T09:33:23.000Z", "_created": "2026-10-16T09:00:01.000Z", "_published": "2026-10-16T09:33:24.985Z", "_buildurl": "https://github.com/r-universe/pettermostad/actions/runs/38877133351", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 116895890995, "time": 98, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12036465305" }, { "job": 116895890960, "time": 98, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12036052844" }, { "job": 116895890887, "time": 140, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "12037806075" }, { "job": 116895890955, "time": 172, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "12038190120" }, { "job": 116894883164, "time": 141, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "12035469136" }, { "job": 116895890903, "time": 70, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "12035489314" }, { "job": 116895890916, "time": 60, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12036390291" }, { "job": 116895890987, "time": 66, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "12036440182" }, { "job": 116895890865, "time": 69, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12035159889" } ], "_upstream": "https://github.com/cran/lestat", "_commit": { "id": "421a9c585b26d41c1db4c51bd2f9a73588b15ecf", "author": "Petter Mostad ", "committer": "cran-robot ", "message": "version 1.9\n", "time": 1528824569 }, "_maintainer": { "name": "Petter Mostad", "email": "mostad@chalmers.se", "login": "pettermostad", "description": "", "uuid": 54669540 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 1.8.0", "role": "Depends" }, { "package": "stats", "role": "Depends" }, { "package": "MASS", "role": "Depends" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "pettermostad", "count": 4, "uuid": 54669540 } ], "_userbio": { "uuid": 54669540, "type": "user", "name": "pettermostad", "followers": 0 }, "_downloads": { "count": 255, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/lestat" }, "_searchresults": 65, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/lestat.html", "extra/manual.pdf" ], "_realowner": "pettermostad", "_cranurl": false, "_releases": [ { "version": "1.6", "date": "2011-12-21" }, { "version": "1.7", "date": "2012-01-28" }, { "version": "1.8", "date": "2013-11-21" }, { "version": "1.9", "date": "2018-06-12" } ], "_exports": [ "anovatable", "betabinomial", "betadistribution", "binomialbeta", "binomialdistribution", "cdf", "cdf.betabinomial", "cdf.betadistribution", "cdf.binomialdistribution", "cdf.default", "cdf.discretedistribution", "cdf.expgamma", "cdf.fdistribution", "cdf.gammadistribution", "cdf.normal", "cdf.poissondistribution", "cdf.tdistribution", "cdf.uniformdistribution", "compose", "compose.default", "compose.discretedistribution", "compose.normal", "compose.uniformdistribution", "conditional", "conditional.binomialbeta", "conditional.default", "conditional.mdiscretedistribution", "conditional.mnormal", "conditional.mnormalexpgamma", "conditional.mnormalgamma", "conditional.mtdistribution", "conditional.muniformdistribution", "conditional.normalexpgamma", "conditional.normalgamma", "contrast", "contrast.default", "contrast.mnormalexpgamma", "contrast.mnormalgamma", "credibilityinterval", "credibilityinterval.betadistribution", "credibilityinterval.default", "credibilityinterval.expgamma", "credibilityinterval.fdistribution", "credibilityinterval.gammadistribution", "credibilityinterval.normal", "credibilityinterval.tdistribution", "designBalanced", "designFactorial", "designManyGroups", "designOneGroup", "designTwoGroups", "difference", "difference.default", "difference.normal", "difference.tdistribution", "discretedistribution", "expectation", "expectation.betabinomial", "expectation.betadistribution", "expectation.binomialdistribution", "expectation.default", "expectation.discretedistribution", "expectation.expgamma", "expectation.fdistribution", "expectation.gammadistribution", "expectation.mdiscretedistribution", "expectation.mnormal", "expectation.mnormalexpgamma", "expectation.mnormalgamma", "expectation.mtdistribution", "expectation.muniformdistribution", "expectation.normal", "expectation.normalexpgamma", "expectation.normalgamma", "expectation.poissondistribution", "expectation.tdistribution", "expectation.uniformdistribution", "expgamma", "fdistribution", "fittedvalues", "gammadistribution", "invcdf", "invcdf.betadistribution", "invcdf.binomialdistribution", "invcdf.default", "invcdf.discretedistribution", "invcdf.expgamma", "invcdf.fdistribution", "invcdf.gammadistribution", "invcdf.normal", "invcdf.poissondistribution", "invcdf.tdistribution", "invcdf.uniformdistribution", "leastsquares", "linearmodel", "linearpredict", "linearpredict.default", "linearpredict.mnormal", "linearpredict.mnormalexpgamma", "linearpredict.mnormalgamma", "linearpredict.normal", "linearpredict.normalexpgamma", "linearpredict.normalgamma", "marginal", "marginal.binomialbeta", "marginal.default", "marginal.mdiscretedistribution", "marginal.mnormal", "marginal.mnormalexpgamma", "marginal.mnormalgamma", "marginal.mtdistribution", "marginal.muniformdistribution", "marginal.normalexpgamma", "marginal.normalgamma", "mdiscretedistribution", "mnormal", "mnormalexpgamma", "mnormalgamma", "mtdistribution", "muniformdistribution", "normal", "normalexpgamma", "normalgamma", "p.value", "p.value.default", "p.value.expgamma", "p.value.fdistribution", "p.value.gammadistribution", "p.value.mnormal", "p.value.mtdistribution", "p.value.normal", "p.value.tdistribution", "poissondistribution", "posteriornormal1", "posteriornormal2", "precision", "precision.betabinomial", "precision.betadistribution", "precision.binomialdistribution", "precision.default", "precision.discretedistribution", "precision.expgamma", "precision.fdistribution", "precision.gammadistribution", "precision.mdiscretedistribution", "precision.mnormal", "precision.mnormalexpgamma", "precision.mnormalgamma", "precision.mtdistribution", "precision.muniformdistribution", "precision.normal", "precision.normalexpgamma", "precision.normalgamma", "precision.poissondistribution", "precision.tdistribution", "precision.uniformdistribution", "probability", "probability.betabinomial", "probability.binomialdistribution", "probability.default", "probability.discretedistribution", "probability.mdiscretedistribution", "probability.poissondistribution", "probabilitydensity", "probabilitydensity.betadistribution", "probabilitydensity.default", "probabilitydensity.expgamma", "probabilitydensity.fdistribution", "probabilitydensity.gammadistribution", "probabilitydensity.mnormal", "probabilitydensity.mnormalexpgamma", "probabilitydensity.mnormalgamma", "probabilitydensity.mtdistribution", "probabilitydensity.muniformdistribution", "probabilitydensity.normal", "probabilitydensity.normalexpgamma", "probabilitydensity.normalgamma", "probabilitydensity.tdistribution", "probabilitydensity.uniformdistribution", "tdistribution", "uniformdistribution", "variance", "variance.betabinomial", "variance.betadistribution", "variance.binomialdistribution", "variance.default", "variance.discretedistribution", "variance.expgamma", "variance.fdistribution", "variance.gammadistribution", "variance.mdiscretedistribution", "variance.mnormal", "variance.mnormalexpgamma", "variance.mnormalgamma", "variance.mtdistribution", "variance.muniformdistribution", "variance.normal", "variance.normalexpgamma", "variance.normalgamma", "variance.poissondistribution", "variance.tdistribution", "variance.uniformdistribution" ], "_help": [ { "page": "lestat-package", "title": "LEarning STATistics using Bayesian object oriented computation", "topics": [ "lestat-package", "lestat" ] }, { "page": "anovatable", "title": "Computes ANOVA table given data and design", "topics": [ "anovatable" ] }, { "page": "betabinomial", "title": "Create an Object Representing a Beta-Binomial Distribution", "topics": [ "betabinomial" ] }, { "page": "betadistribution", "title": "A Beta Distribution", "topics": [ "betadistribution" ] }, { "page": "binomialbeta", "title": "Create an Object Representing a bivariate Binomial Beta Distribution", "topics": [ "binomialbeta" ] }, { "page": "binomialdistribution", "title": "Create an Object Representing a Binomial Distribution", "topics": [ "binomialdistribution" ] }, { "page": "cdf", "title": "Compute Cumulative Distribution Function", "topics": [ "cdf", "cdf.betabinomial", "cdf.betadistribution", "cdf.binomialdistribution", "cdf.default", "cdf.discretedistribution", "cdf.expgamma", "cdf.fdistribution", "cdf.gammadistribution", "cdf.normal", "cdf.poissondistribution", "cdf.tdistribution", "cdf.uniformdistribution" ] }, { "page": "compose", "title": "Building a new probability distribution from an old.", "topics": [ "compose", "compose.betadistribution", "compose.default", "compose.discretedistribution", "compose.normal", "compose.uniformdistribution" ] }, { "page": "conditional", "title": "The Conditional Distribution", "topics": [ "conditional", "conditional.binomialbeta", "conditional.default", "conditional.mdiscretedistribution", "conditional.mnormal", "conditional.mnormalexpgamma", "conditional.mnormalgamma", "conditional.mtdistribution", "conditional.muniformdistribution", "conditional.normalexpgamma", "conditional.normalgamma" ] }, { "page": "contrast", "title": "Computing the distribution of a Contrast", "topics": [ "contrast", "contrast.default", "contrast.mnormalexpgamma", "contrast.mnormalgamma" ] }, { "page": "credibilityinterval", "title": "Compute Credibility Interval for a Univariate Distribution", "topics": [ "credibilityinterval", "credibilityinterval.betadistribution", "credibilityinterval.default", "credibilityinterval.expgamma", "credibilityinterval.fdistribution", "credibilityinterval.gammadistribution", "credibilityinterval.normal", "credibilityinterval.tdistribution" ] }, { "page": "designBalanced", "title": "Create a Design Matrix for a Balanced Design", "topics": [ "designBalanced" ] }, { "page": "designFactorial", "title": "Create a Design Matrix for a Factorial Design", "topics": [ "designFactorial" ] }, { "page": "designManyGroups", "title": "Create a Design Matrix for Several Groups of Normal Observations", "topics": [ "designManyGroups" ] }, { "page": "designOneGroup", "title": "Create a Design Matrix for One Group of Observations", "topics": [ "designOneGroup" ] }, { "page": "designTwoGroups", "title": "Create a Design Matrix for Two Groups of Observations", "topics": [ "designTwoGroups" ] }, { "page": "difference", "title": "Create Object Representing Difference Between Two Distributions", "topics": [ "difference", "difference.default", "difference.normal", "difference.tdistribution" ] }, { "page": "discretedistribution", "title": "Create Object Representing a Discrete Distribution", "topics": [ "discretedistribution" ] }, { "page": "expectation", "title": "Compute Expectation", "topics": [ "expectation", "expectation.betabinomial", "expectation.betadistribution", "expectation.binomialdistribution", "expectation.default", "expectation.discretedistribution", "expectation.expgamma", "expectation.fdistribution", "expectation.gammadistribution", "expectation.mdiscretedistribution", "expectation.mnormal", "expectation.mnormalexpgamma", "expectation.mnormalgamma", "expectation.mtdistribution", "expectation.muniformdistribution", "expectation.normal", "expectation.normalexpgamma", "expectation.normalgamma", "expectation.poissondistribution", "expectation.tdistribution", "expectation.uniformdistribution" ] }, { "page": "expgamma", "title": "Create an ExpGamma distribution", "topics": [ "expgamma" ] }, { "page": "fdistribution", "title": "Create an F distribution", "topics": [ "fdistribution" ] }, { "page": "fittedvalues", "title": "Compute Fitted Values for a Linear Model", "topics": [ "fittedvalues" ] }, { "page": "gammadistribution", "title": "Create a Gamma Distribution", "topics": [ "gammadistribution" ] }, { "page": "invcdf", "title": "Compute the Inverse Cumulative Distribution Function", "topics": [ "invcdf", "invcdf.betadistribution", "invcdf.binomialdistribution", "invcdf.default", "invcdf.discretedistribution", "invcdf.expgamma", "invcdf.fdistribution", "invcdf.gammadistribution", "invcdf.normal", "invcdf.poissondistribution", "invcdf.tdistribution", "invcdf.uniformdistribution" ] }, { "page": "leastsquares", "title": "Find the Least Squares Solution in a Linear Model", "topics": [ "leastsquares" ] }, { "page": "linearmodel", "title": "Compute the Posterior Distribution for a Linear Model", "topics": [ "linearmodel" ] }, { "page": "linearpredict", "title": "Create a Linear Extension of a Distribution", "topics": [ "linearpredict", "linearpredict.default", "linearpredict.mnormal", "linearpredict.mnormalexpgamma", "linearpredict.mnormalgamma", "linearpredict.normal", "linearpredict.normalexpgamma", "linearpredict.normalgamma" ] }, { "page": "marginal", "title": "A Marginal of a Multivariate Distribution", "topics": [ "marginal", "marginal.binomialbeta", "marginal.default", "marginal.mdiscretedistribution", "marginal.mnormal", "marginal.mnormalexpgamma", "marginal.mnormalgamma", "marginal.mtdistribution", "marginal.muniformdistribution", "marginal.normalexpgamma", "marginal.normalgamma" ] }, { "page": "mdiscretedistribution", "title": "Create Object Representing a Multivariate Discrete Distribution", "topics": [ "mdiscretedistribution" ] }, { "page": "mnormal", "title": "A Multivariate Normal Distribution", "topics": [ "mnormal" ] }, { "page": "mnormalexpgamma", "title": "A Multivariate Normal-ExpGamma Distribution", "topics": [ "mnormalexpgamma" ] }, { "page": "mnormalgamma", "title": "A Multivariate Normal-Gamma Distribution", "topics": [ "mnormalgamma" ] }, { "page": "mtdistribution", "title": "A Multivariate t-Distribution", "topics": [ "mtdistribution" ] }, { "page": "muniformdistribution", "title": "A Multivariate Uniform Distribution", "topics": [ "muniformdistribution" ] }, { "page": "normal", "title": "A Normal Distribution", "topics": [ "normal" ] }, { "page": "normalexpgamma", "title": "A Normal-ExpGamma Distribution", "topics": [ "normalexpgamma" ] }, { "page": "normalgamma", "title": "A Normal-Gamma Distribution", "topics": [ "normalgamma" ] }, { "page": "p.value", "title": "Compute the p-value for a Distribution", "topics": [ "p.value", "p.value.default", "p.value.expgamma", "p.value.fdistribution", "p.value.gammadistribution", "p.value.mnormal", "p.value.mtdistribution", "p.value.normal", "p.value.tdistribution" ] }, { "page": "plot.normal", "title": "Plotting a Probability Distribution", "topics": [ "plot.betabinomial", "plot.betadistribution", "plot.binomialbeta", "plot.binomialdistribution", "plot.discretedistribution", "plot.expgamma", "plot.fdistribution", "plot.gammadistribution", "plot.mdiscretedistribution", "plot.mnormal", "plot.mnormalexpgamma", "plot.mnormalgamma", "plot.mtdistribution", "plot.muniformdistribution", "plot.normal", "plot.normalexpgamma", "plot.normalgamma", "plot.poissondistribution", "plot.tdistribution", "plot.uniformdistribution" ] }, { "page": "poissondistribution", "title": "A Poissondistribution", "topics": [ "poissondistribution" ] }, { "page": "posteriornormal1", "title": "Compute the Posterior Distribution for Parameters of One Normal Distribution", "topics": [ "posteriornormal1" ] }, { "page": "posteriornormal2", "title": "Compute a Posterior Distribution for Parameters of Two Normal Distributions", "topics": [ "posteriornormal2" ] }, { "page": "precision", "title": "The Precision of a Distribution", "topics": [ "precision", "precision.betabinomial", "precision.betadistribution", "precision.binomialdistribution", "precision.default", "precision.discretedistribution", "precision.expgamma", "precision.fdistribution", "precision.gammadistribution", "precision.mdiscretedistribution", "precision.mnormal", "precision.mnormalexpgamma", "precision.mnormalgamma", "precision.mtdistribution", "precision.muniformdistribution", "precision.normal", "precision.normalexpgamma", "precision.normalgamma", "precision.poissondistribution", "precision.tdistribution", "precision.uniformdistribution" ] }, { "page": "print.normal", "title": "Printing Probability Distributions", "topics": [ "print.betabinomial", "print.betadistribution", "print.binomialbeta", "print.binomialdistribution", "print.discretedistribution", "print.expgamma", "print.fdistribution", "print.gammadistribution", "print.mdiscretedistribution", "print.mnormal", "print.mnormalexpgamma", "print.mnormalgamma", "print.mtdistribution", "print.muniformdistribution", "print.normal", "print.normalexpgamma", "print.normalgamma", "print.poissondistribution", "print.tdistribution", "print.uniformdistribution" ] }, { "page": "probability", "title": "The Probability at a Value for a Discrete Distribution", "topics": [ "probability", "probability.betabinomial", "probability.binomialdistribution", "probability.default", "probability.discretedistribution", "probability.mdiscretedistribution", "probability.poissondistribution" ] }, { "page": "probabilitydensity", "title": "The Probability Density at a Value for a Continuous Distribution", "topics": [ "probabilitydensity", "probabilitydensity.betadistribution", "probabilitydensity.default", "probabilitydensity.expgamma", "probabilitydensity.fdistribution", "probabilitydensity.gammadistribution", "probabilitydensity.mnormal", "probabilitydensity.mnormalexpgamma", "probabilitydensity.mnormalgamma", "probabilitydensity.mtdistribution", "probabilitydensity.muniformdistribution", "probabilitydensity.normal", "probabilitydensity.normalexpgamma", "probabilitydensity.normalgamma", "probabilitydensity.tdistribution", "probabilitydensity.uniformdistribution" ] }, { "page": "simulate.normal", "title": "Simulate values from a Probability Distribution", "topics": [ "simulate.betabinomial", "simulate.betadistribution", "simulate.binomialbeta", "simulate.binomialdistribution", "simulate.discretedistribution", "simulate.expgamma", "simulate.fdistribution", "simulate.gammadistribution", "simulate.mdiscretedistribution", "simulate.mnormal", "simulate.mnormalexpgamma", "simulate.mnormalgamma", "simulate.mtdistribution", "simulate.muniformdistribution", "simulate.normal", "simulate.normalexpgamma", "simulate.normalgamma", "simulate.poissondistribution", "simulate.tdistribution", "simulate.uniformdistribution" ] }, { "page": "summary.normal", "title": "Summary of a Probability Distribution Object", "topics": [ "summary.betabinomial", "summary.betadistribution", "summary.binomialbeta", "summary.binomialdistribution", "summary.discretedistribution", "summary.expgamma", "summary.fdistribution", "summary.gammadistribution", "summary.mdiscretedistribution", "summary.mnormal", "summary.mnormalexpgamma", "summary.mnormalgamma", "summary.mtdistribution", "summary.muniformdistribution", "summary.normal", "summary.normalexpgamma", "summary.normalgamma", "summary.poissondistribution", "summary.tdistribution", "summary.uniformdistribution" ] }, { "page": "tdistribution", "title": "A t-distribution", "topics": [ "tdistribution" ] }, { "page": "uniformdistribution", "title": "A Uniform Distribution", "topics": [ "uniformdistribution" ] }, { "page": "variance", "title": "The Variance of a Distribution", "topics": [ "variance", "variance.betabinomial", "variance.betadistribution", "variance.binomialdistribution", "variance.default", "variance.discretedistribution", "variance.expgamma", "variance.fdistribution", "variance.gammadistribution", "variance.mdiscretedistribution", "variance.mnormal", "variance.mnormalexpgamma", "variance.mnormalgamma", "variance.mtdistribution", "variance.muniformdistribution", "variance.normal", "variance.normalexpgamma", "variance.normalgamma", "variance.poissondistribution", "variance.tdistribution", "variance.uniformdistribution" ] } ], "_rundeps": [ "MASS" ], "_score": 1.8129133566428557, "_indexed": true, "_nocasepkg": "lestat", "_universes": [ "pettermostad" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.9", "date": "2026-10-16T09:01:47.000Z", "distro": "resolute", "commit": "421a9c585b26d41c1db4c51bd2f9a73588b15ecf", "fileid": "https://r2.ropensci.org/f163f2eab9f25cb1ac015f7dfae034364d1949d137c0850c037785314353d3dd", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pettermostad/actions/runs/38877133351" }, { "r": "4.6.1", "os": "linux", "version": "1.9", "date": "2026-10-16T09:01:47.000Z", "distro": "resolute", "commit": "421a9c585b26d41c1db4c51bd2f9a73588b15ecf", "fileid": "https://r2.ropensci.org/44dbcfcc6a07639a4a504a6ff62843afff909ec6de1806b3966f6f0b47592fac", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pettermostad/actions/runs/38877133351" }, { "r": "4.5.3", "os": "mac", "version": "1.9", "date": "2026-10-16T09:31:25.000Z", "commit": "421a9c585b26d41c1db4c51bd2f9a73588b15ecf", "fileid": "https://r2.ropensci.org/95cf6edfb22caaa8405c29415b851d10600d863f1529e7773d0b467579d37e49", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pettermostad/actions/runs/38877133351" }, { "r": "4.6.1", "os": "mac", "version": "1.9", "date": "2026-10-16T09:32:07.000Z", "commit": "421a9c585b26d41c1db4c51bd2f9a73588b15ecf", "fileid": "https://r2.ropensci.org/0ef2f5b033b7a0535d5e7e686fae7c4b1d012abeef03a51e4a8bd6b6e80cccfa", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pettermostad/actions/runs/38877133351" }, { "r": "4.6.0", "os": "wasm", "version": "1.9", "date": "2026-10-16T09:01:30.000Z", "commit": "421a9c585b26d41c1db4c51bd2f9a73588b15ecf", "fileid": "https://r2.ropensci.org/47faca0995db8f406fd5e3bdce0c7d3f9e34d7946d23390716cee21c9fd80788", "status": "success", "buildurl": "https://github.com/r-universe/pettermostad/actions/runs/38877133351" }, { "r": "4.7.0", "os": "win", "version": "1.9", "date": "2026-10-16T09:00:59.000Z", "commit": "421a9c585b26d41c1db4c51bd2f9a73588b15ecf", "fileid": "https://r2.ropensci.org/e688b27fea752f258f6c5544fccf7e3d52e0e2624900707f424c61a15134654c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pettermostad/actions/runs/38877133351" }, { "r": "4.5.3", "os": "win", "version": "1.9", "date": "2026-10-16T09:01:01.000Z", "commit": "421a9c585b26d41c1db4c51bd2f9a73588b15ecf", "fileid": "https://r2.ropensci.org/9a49355006671fe5439a28a0e0811ddb55fccec30255b32267074d73e41066c6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pettermostad/actions/runs/38877133351" }, { "r": "4.6.1", "os": "win", "version": "1.9", "date": "2026-10-16T09:01:04.000Z", "commit": "421a9c585b26d41c1db4c51bd2f9a73588b15ecf", "fileid": "https://r2.ropensci.org/658c1628a10b2c9dc891b02245013fe2ec131f9f10a43e88982c7decbfc289bb", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pettermostad/actions/runs/38877133351" } ] }