{
  "_id": "6a1eb49ab25058d4daadd554",
  "Package": "MRZero",
  "Type": "Package",
  "Title": "Diet Mendelian Randomization",
  "Version": "0.2.0",
  "Date": "2024-04-12",
  "Authors@R": "c(person(given=\"Stephen\",\nfamily=\"Burgess\",\nrole=c(\"aut\", \"cre\"),\nemail=\"sb452@medschl.cam.ac.uk\",\ncomment = c(ORCID = \"0000-0001-5365-8760\")),\nperson(given=\"Olena\",\nfamily=\"Yavorska\",\nrole=\"aut\"),\nperson(given=\"James\",\nfamily=\"Staley\",\nrole=\"ctb\",\ncomment = c(ORCID = \"0009-0001-9520-5011\")),\nperson(given=\"Fernando\",\nfamily=\"Hartwig\",\nrole=\"ctb\",\ncomment = c(ORCID = \"0000-0003-3729-0710\")),\nperson(given=\"Jim\",\nfamily=\"Broadbent\",\nrole=\"ctb\",\ncomment = c(ORCID = \"0000-0002-5685-6241\")),\nperson(given=\"Christopher\",\nfamily=\"Foley\",\nrole=\"ctb\",\ncomment = c(ORCID = \"0000-0002-0970-2610\")),\nperson(given=\"Andrew\",\nfamily=\"Grant\",\nrole=\"ctb\"),\nperson(given=\"Amy\",\nfamily=\"Mason\",\nrole=\"ctb\",\ncomment = c(ORCID = \"0000-0002-8019-0777\")),\nperson(given=\"Ting\",\nfamily=\"Ye\",\nrole=\"ctb\",\ncomment = c(ORCID = \"0000-0001-6009-641X\")),\nperson(given=\"Haoran\",\nfamily=\"Xue\",\nrole=\"ctb\",\ncomment = c(ORCID = \"0000-0001-7923-6128\")),\nperson(given=\"Zhaotong\",\nfamily=\"Lin\",\nrole=\"ctb\",\ncomment = c(ORCID = \"0000-0001-8723-4392\")),\nperson(given=\"Siqi\",\nfamily=\"Xu\",\nrole=\"ctb\"),\nperson(given=\"Ashish\",\nfamily=\"Patel\",\nrole=\"ctb\",\ncomment = c(ORCID = \"0000-0002-0350-4365\")),\nperson(given=\"Hyunseung\",\nfamily=\"Kang\",\nrole=\"ctb\"),\nperson(given=\"Sheng\",\nfamily=\"Wang\",\nrole=\"ctb\"),\nperson(given=\"Ville\",\nfamily=\"Karhunen\",\nrole=\"ctb\",\ncomment = c(ORCID = \"0000-0001-6064-1588\")))",
  "Maintainer": "Stephen Burgess <sb452@medschl.cam.ac.uk>",
  "Description": "Encodes several methods for performing Mendelian\nrandomization analyses with summarized data. Similar to the\n'MendelianRandomization' package, but with fewer bells and\nwhistles, and less frequent updates. As described in Yavorska\n(2017) <doi:10.1093/ije/dyx034> and Broadbent (2020)\n<doi:10.12688/wellcomeopenres.16374.2>.",
  "License": "GPL-2 | GPL-3",
  "RoxygenNote": "7.3.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-02 10:32:42 UTC",
    "User": "root"
  },
  "Author": "Stephen Burgess [aut, cre]\n(<https://orcid.org/0000-0001-5365-8760>), Olena Yavorska\n[aut], James Staley [ctb]\n(<https://orcid.org/0009-0001-9520-5011>), Fernando Hartwig\n[ctb] (<https://orcid.org/0000-0003-3729-0710>), Jim Broadbent\n[ctb] (<https://orcid.org/0000-0002-5685-6241>), Christopher\nFoley [ctb] (<https://orcid.org/0000-0002-0970-2610>), Andrew\nGrant [ctb], Amy Mason [ctb]\n(<https://orcid.org/0000-0002-8019-0777>), Ting Ye [ctb]\n(<https://orcid.org/0000-0001-6009-641X>), Haoran Xue [ctb]\n(<https://orcid.org/0000-0001-7923-6128>), Zhaotong Lin [ctb]\n(<https://orcid.org/0000-0001-8723-4392>), Siqi Xu [ctb],\nAshish Patel [ctb] (<https://orcid.org/0000-0002-0350-4365>),\nHyunseung Kang [ctb], Sheng Wang [ctb], Ville Karhunen [ctb]\n(<https://orcid.org/0000-0001-6064-1588>)",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev",
  "Repository": "https://sb452.r-universe.dev",
  "Date/Publication": "2024-04-15 04:09:14 UTC",
  "RemoteUrl": "https://github.com/cran/MRZero",
  "RemoteRef": "HEAD",
  "RemoteSha": "cae322f7442526198b6d25778ba19d6ccfff738f",
  "MD5sum": "57b84c023016fcfee56df593b626bee1",
  "_user": "sb452",
  "_type": "src",
  "_file": "MRZero_0.2.0.tar.gz",
  "_fileid": "9e2a9d458c703bfce711299a834324535965faf7595798192c5f5afeba87d03e",
  "_filesize": 458630,
  "_sha256": "9e2a9d458c703bfce711299a834324535965faf7595798192c5f5afeba87d03e",
  "_created": "2026-06-02T10:32:42.000Z",
  "_published": "2026-06-02T10:46:50.282Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79051456922,
      "time": 196,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7355378788"
    },
    {
      "job": 79051456882,
      "time": 173,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7355370068"
    },
    {
      "job": 79051456912,
      "time": 143,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7355490615"
    },
    {
      "job": 79051456910,
      "time": 171,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7355583934"
    },
    {
      "job": 79050879192,
      "time": 211,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7355311463"
    },
    {
      "job": 79051456868,
      "time": 129,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7355355029"
    },
    {
      "job": 79051456878,
      "time": 148,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7355361712"
    },
    {
      "job": 79051456888,
      "time": 153,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7355363525"
    },
    {
      "job": 79051456887,
      "time": 134,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7355356757"
    }
  ],
  "_buildurl": "https://github.com/r-universe/sb452/actions/runs/26813949749",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/MRZero",
  "_commit": {
    "id": "cae322f7442526198b6d25778ba19d6ccfff738f",
    "author": "Stephen Burgess <sb452@medschl.cam.ac.uk>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.2.0\n",
    "time": 1713154154
  },
  "_maintainer": {
    "name": "Stephen Burgess",
    "email": "sb452@medschl.cam.ac.uk",
    "login": "sb452",
    "description": "",
    "uuid": 14124649,
    "orcid": "0000-0001-5365-8760"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.0.1",
      "role": "Depends"
    },
    {
      "package": "methods",
      "role": "Depends"
    },
    {
      "package": "knitr",
      "role": "Imports"
    },
    {
      "package": "rmarkdown",
      "role": "Imports"
    },
    {
      "package": "plotly",
      "version": ">= 3.6.0",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "version": ">= 1.0.1",
      "role": "Imports"
    },
    {
      "package": "robustbase",
      "version": ">= 0.92-6",
      "role": "Imports"
    },
    {
      "package": "quantreg",
      "version": ">= 5.01",
      "role": "Imports"
    },
    {
      "package": "glmnet",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "sb452",
      "count": 2,
      "uuid": 14124649
    }
  ],
  "_userbio": {
    "uuid": 14124649,
    "type": "user",
    "name": "sb452"
  },
  "_downloads": {
    "count": 129,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MRZero"
  },
  "_searchresults": 0,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/MRZero.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "manual.pdf"
  ],
  "_realowner": "sb452",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2023-08-16"
    },
    {
      "version": "0.2.0",
      "date": "2024-04-14"
    }
  ],
  "_exports": [
    "BF_dist",
    "calc.rho",
    "calcium",
    "calciumse",
    "chdlodds",
    "chdloddsse",
    "ci_normal",
    "ci_t",
    "cML_estimate",
    "cML_estimate_random",
    "cML_SdTheta",
    "condFstat",
    "coursedata",
    "decimals",
    "egger.bounds",
    "fastgluc",
    "fastglucse",
    "hdlc",
    "hdlcse",
    "ldlc",
    "ldlcse",
    "lipid_eaf",
    "lipid_effect",
    "lipid_other",
    "loglikelihood",
    "loglikelihoodcorrel",
    "loglikelihoodrhocorrel",
    "mbe_boot",
    "mbe_est",
    "mr_allmethods",
    "mr_clr",
    "mr_cML",
    "mr_conmix",
    "mr_divw",
    "mr_egger",
    "mr_forest",
    "mr_funnel",
    "mr_input",
    "mr_ivw",
    "mr_lasso",
    "mr_loo",
    "mr_maxlik",
    "mr_mbe",
    "mr_median",
    "mr_mvegger",
    "mr_mvgmm",
    "mr_mvinput",
    "mr_mvivw",
    "mr_mvivwme",
    "mr_mvlasso",
    "mr_mvmedian",
    "mr_mvpcgmm",
    "mr_pcgmm",
    "mr_pivw",
    "mr_plot",
    "mv_norm",
    "penalised.weights",
    "penalised.weights.delta",
    "r.weights",
    "r.weights.delta",
    "simpleCap",
    "trig",
    "trigse",
    "values",
    "weighted.median",
    "weighted.median.boot.se"
  ],
  "_help": [
    {
      "page": "calcium",
      "title": "Data on effect of calcium on fasting glucose (correlated variants)",
      "topics": [
        "calc.rho",
        "calcium",
        "calciumse",
        "fastgluc",
        "fastglucse"
      ]
    },
    {
      "page": "CLR-class",
      "title": "CLR Class",
      "topics": [
        "CLR-class"
      ]
    },
    {
      "page": "cML_estimate",
      "title": "Estimate with Regular Likelihood",
      "topics": [
        "cML_estimate"
      ]
    },
    {
      "page": "cML_estimate_random",
      "title": "Estimate with Regular Likelihood Using Multiple Random Start Points",
      "topics": [
        "cML_estimate_random"
      ]
    },
    {
      "page": "cML_SdTheta",
      "title": "Standard Error of Estimated Theta",
      "topics": [
        "cML_SdTheta"
      ]
    },
    {
      "page": "DIVW-class",
      "title": "DIVW Class",
      "topics": [
        "DIVW-class"
      ]
    },
    {
      "page": "Egger-class",
      "title": "Egger Class",
      "topics": [
        "Egger-class"
      ]
    },
    {
      "page": "IVW-class",
      "title": "IVW Class",
      "topics": [
        "IVW-class"
      ]
    },
    {
      "page": "ldlc",
      "title": "Data on lipid effects on coronary artery disease (uncorrelated variants)",
      "topics": [
        "chdlodds",
        "chdloddsse",
        "hdlc",
        "hdlcse",
        "ldlc",
        "ldlcse",
        "lipid_eaf",
        "lipid_effect",
        "lipid_other",
        "trig",
        "trigse"
      ]
    },
    {
      "page": "MaxLik-class",
      "title": "MaxLik Class",
      "topics": [
        "MaxLik-class"
      ]
    },
    {
      "page": "mr_allmethods",
      "title": "Mendelian randomization estimation using all methods",
      "topics": [
        "mr_allmethods",
        "mr_allmethods,MRInput-method"
      ]
    },
    {
      "page": "mr_clr",
      "title": "Conditional likelihood ratio (CLR) method",
      "topics": [
        "mr_clr",
        "mr_clr,MRInput-method"
      ]
    },
    {
      "page": "mr_cML",
      "title": "Constrained maximum likelihood (cML) method",
      "topics": [
        "mr_cML",
        "mr_cML,MRInput-method"
      ]
    },
    {
      "page": "mr_conmix",
      "title": "Contamination mixture method",
      "topics": [
        "mr_conmix",
        "mr_conmix,MRInput-method"
      ]
    },
    {
      "page": "mr_divw",
      "title": "Debiased inverse-variance weighted method",
      "topics": [
        "mr_divw",
        "mr_divw,MRInput-method"
      ]
    },
    {
      "page": "mr_egger",
      "title": "MR-Egger method",
      "topics": [
        "mr_egger",
        "mr_egger,MRInput-method"
      ]
    },
    {
      "page": "mr_forest",
      "title": "Draw a forest plot of causal estimates",
      "topics": [
        "mr_forest",
        "mr_forest,MRInput-method"
      ]
    },
    {
      "page": "mr_funnel",
      "title": "Draw a funnel plot of variant-specific estimates",
      "topics": [
        "mr_funnel",
        "mr_funnel,MRInput-method"
      ]
    },
    {
      "page": "mr_input",
      "title": "Inputting and formatting data for use in causal estimation",
      "topics": [
        "mr_input"
      ]
    },
    {
      "page": "mr_ivw",
      "title": "Inverse-variance weighted method",
      "topics": [
        "mr_ivw",
        "mr_ivw,MRInput-method"
      ]
    },
    {
      "page": "mr_lasso",
      "title": "MR-Lasso method",
      "topics": [
        "mr_lasso",
        "mr_lasso,MRInput-method"
      ]
    },
    {
      "page": "mr_loo",
      "title": "Leave-one-out estimates",
      "topics": [
        "mr_loo",
        "mr_loo,MRInput-method"
      ]
    },
    {
      "page": "mr_maxlik",
      "title": "Maximum-likelihood method",
      "topics": [
        "mr_maxlik",
        "mr_maxlik,MRInput-method"
      ]
    },
    {
      "page": "mr_mbe",
      "title": "Mode-based method of Hartwig",
      "topics": [
        "mr_mbe",
        "mr_mbe,MRInput-method"
      ]
    },
    {
      "page": "mr_median",
      "title": "Median-based method",
      "topics": [
        "mr_median",
        "mr_median,MRInput-method"
      ]
    },
    {
      "page": "mr_mvegger",
      "title": "Multivariable MR-Egger method",
      "topics": [
        "mr_mvegger",
        "mr_mvegger,MRMVInput-method"
      ]
    },
    {
      "page": "mr_mvgmm",
      "title": "Multivariable generalized method of moments (GMM) method",
      "topics": [
        "mr_mvgmm",
        "mr_mvgmm,MRMVInput-method"
      ]
    },
    {
      "page": "mr_mvinput",
      "title": "Inputting and formatting data for use in causal estimation",
      "topics": [
        "mr_mvinput"
      ]
    },
    {
      "page": "mr_mvivw",
      "title": "Multivariable inverse-variance weighted method",
      "topics": [
        "mr_mvivw",
        "mr_mvivw,MRMVInput-method"
      ]
    },
    {
      "page": "mr_mvivwme",
      "title": "Multivariable inverse-variance weighted method with measurement error",
      "topics": [
        "mr_mvivwme",
        "mr_mvivwme,MRMVInput-method"
      ]
    },
    {
      "page": "mr_mvlasso",
      "title": "Multivariable MR-Lasso method",
      "topics": [
        "mr_mvlasso",
        "mr_mvlasso,MRMVInput-method"
      ]
    },
    {
      "page": "mr_mvmedian",
      "title": "Multivariable median-based method",
      "topics": [
        "mr_mvmedian",
        "mr_mvmedian,MRMVInput-method"
      ]
    },
    {
      "page": "mr_mvpcgmm",
      "title": "Multivariable principal components generalized method of moments (PC-GMM) method",
      "topics": [
        "mr_mvpcgmm",
        "mr_mvpcgmm,MRMVInput-method"
      ]
    },
    {
      "page": "mr_pcgmm",
      "title": "Univariable principal components generalized method of moments (PC-GMM) method",
      "topics": [
        "mr_pcgmm",
        "mr_pcgmm,MRInput-method"
      ]
    },
    {
      "page": "mr_pivw",
      "title": "Penalized inverse-variance weighted method",
      "topics": [
        "mr_pivw",
        "mr_pivw,MRInput-method"
      ]
    },
    {
      "page": "mr_plot",
      "title": "Draw a scatter plot of the genetic associations and/or causal estimates",
      "topics": [
        "mr_plot",
        "mr_plot,MRAll-method",
        "mr_plot,MRInput-method",
        "mr_plot,MRMVInput-method"
      ]
    },
    {
      "page": "MRAll-class",
      "title": "MRAll Class",
      "topics": [
        "MRAll-class"
      ]
    },
    {
      "page": "MRcML-class",
      "title": "MRcML Class",
      "topics": [
        "MRcML-class"
      ]
    },
    {
      "page": "MRConMix-class",
      "title": "MRConMix Class",
      "topics": [
        "MRConMix-class"
      ]
    },
    {
      "page": "MRHetPen-class",
      "title": "MRHetPen Class",
      "topics": [
        "MRHetPen-class"
      ]
    },
    {
      "page": "MRInput-class",
      "title": "MRInput Class",
      "topics": [
        "MRInput-class"
      ]
    },
    {
      "page": "MRLasso-class",
      "title": "MRLasso class",
      "topics": [
        "MRLasso-class"
      ]
    },
    {
      "page": "MRMBE-class",
      "title": "MRMBE Class",
      "topics": [
        "MRMBE-class"
      ]
    },
    {
      "page": "MRMVInput-class",
      "title": "MRMVInput Class",
      "topics": [
        "MRMVInput-class"
      ]
    },
    {
      "page": "MVEgger-class",
      "title": "MVEgger Class",
      "topics": [
        "MVEgger-class"
      ]
    },
    {
      "page": "MVGMM-class",
      "title": "MVGMM Class",
      "topics": [
        "MVGMM-class"
      ]
    },
    {
      "page": "MVIVW-class",
      "title": "MVIVW Class",
      "topics": [
        "MVIVW-class"
      ]
    },
    {
      "page": "MVIVWME-class",
      "title": "MVIVWME Class",
      "topics": [
        "MVIVWME-class"
      ]
    },
    {
      "page": "MVLasso-class",
      "title": "MRMVLasso class",
      "topics": [
        "MVLasso-class"
      ]
    },
    {
      "page": "MVMedian-class",
      "title": "MRMVMedian class",
      "topics": [
        "MVMedian-class"
      ]
    },
    {
      "page": "MVMRcML-class",
      "title": "MVMRcML Class",
      "topics": [
        "MVMRcML-class"
      ]
    },
    {
      "page": "MVPCGMM-class",
      "title": "MVPCGMM Class",
      "topics": [
        "MVPCGMM-class"
      ]
    },
    {
      "page": "PCGMM-class",
      "title": "PCGMM Class",
      "topics": [
        "PCGMM-class"
      ]
    },
    {
      "page": "PIVW-class",
      "title": "PIVW Class",
      "topics": [
        "PIVW-class"
      ]
    },
    {
      "page": "WeightedMedian-class",
      "title": "WeightedMedian Class",
      "topics": [
        "WeightedMedian-class"
      ]
    }
  ],
  "_rundeps": [
    "askpass",
    "base64enc",
    "bslib",
    "cachem",
    "cli",
    "codetools",
    "cpp11",
    "crosstalk",
    "curl",
    "data.table",
    "DEoptimR",
    "digest",
    "dplyr",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "foreach",
    "fs",
    "generics",
    "ggplot2",
    "glmnet",
    "glue",
    "gtable",
    "highr",
    "htmltools",
    "htmlwidgets",
    "httr",
    "isoband",
    "iterators",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "later",
    "lattice",
    "lazyeval",
    "lifecycle",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixModels",
    "memoise",
    "mime",
    "openssl",
    "otel",
    "pillar",
    "pkgconfig",
    "plotly",
    "promises",
    "purrr",
    "quantreg",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppEigen",
    "rlang",
    "rmarkdown",
    "robustbase",
    "S7",
    "sass",
    "scales",
    "shape",
    "SparseM",
    "stringi",
    "stringr",
    "survival",
    "sys",
    "tibble",
    "tidyr",
    "tidyselect",
    "tinytex",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "yaml"
  ],
  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "mrzero",
  "_universes": [
    "sb452"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.2.0",
      "date": "2026-06-02T10:35:23.000Z",
      "distro": "noble",
      "commit": "cae322f7442526198b6d25778ba19d6ccfff738f",
      "fileid": "c3d1864d71d46d559705de5969efe9e22c110d98c9eb886a975fb16f81196ee3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/sb452/actions/runs/26813949749"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.2.0",
      "date": "2026-06-02T10:35:07.000Z",
      "distro": "noble",
      "commit": "cae322f7442526198b6d25778ba19d6ccfff738f",
      "fileid": "8894e23f55928d8220fda552bdfb9dddd12208ff5e06faab1ef18cbc5c9cb043",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/sb452/actions/runs/26813949749"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.2.0",
      "date": "2026-06-02T10:40:57.000Z",
      "commit": "cae322f7442526198b6d25778ba19d6ccfff738f",
      "fileid": "38279dbdce8ceb01322aa1f575e10f802804fcf195d6893b586a9217a010cacf",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/sb452/actions/runs/26813949749"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.2.0",
      "date": "2026-06-02T10:45:29.000Z",
      "commit": "cae322f7442526198b6d25778ba19d6ccfff738f",
      "fileid": "10610a57a7f8ac135d090aa99effb58057c0685fb7bf686b0237da9f6de95e83",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/sb452/actions/runs/26813949749"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.2.0",
      "date": "2026-06-02T10:35:21.000Z",
      "commit": "cae322f7442526198b6d25778ba19d6ccfff738f",
      "fileid": "05d12a9abec35b17277793d91d0c2a647e5440b8146ccd8ba8d231180db3aaf1",
      "status": "success",
      "buildurl": "https://github.com/r-universe/sb452/actions/runs/26813949749"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.2.0",
      "date": "2026-06-02T10:34:25.000Z",
      "commit": "cae322f7442526198b6d25778ba19d6ccfff738f",
      "fileid": "bfdc7ab308bb30ee8664c95dfc00ffca95dd6c73ae344a471d3bee088e3c0017",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/sb452/actions/runs/26813949749"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.2.0",
      "date": "2026-06-02T10:34:33.000Z",
      "commit": "cae322f7442526198b6d25778ba19d6ccfff738f",
      "fileid": "8814a9e9e0ce466c77da299c635f255475cdd3d972bef53f7dd3900a7ae08ca0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/sb452/actions/runs/26813949749"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.2.0",
      "date": "2026-06-02T10:34:09.000Z",
      "commit": "cae322f7442526198b6d25778ba19d6ccfff738f",
      "fileid": "f37cd81e688ced09c59562f00f27d469fb47c1945c41eb14b1dc5b1ce7a1900d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/sb452/actions/runs/26813949749"
    }
  ]
}