{
  "_id": "6a1ae40c1d7bb097a09ef6b4",
  "Package": "scMET",
  "Type": "Package",
  "Title": "Bayesian modelling of cell-to-cell DNA methylation heterogeneity",
  "Version": "1.15.0",
  "Authors@R": "c(person(given = \"Andreas C.\",\nfamily = \"Kapourani\",\nrole = c(\"aut\", \"cre\"),\nemail = \"kapouranis.andreas@gmail.com\",\ncomment = c(ORCID = \"0000-0003-2303-1953\")),\nperson(given = \"John\",\nfamily = \"Riddell\",\nrole = c(\"ctb\")))",
  "Description": "High-throughput single-cell measurements of DNA methylomes\ncan quantify methylation heterogeneity and uncover its role in\ngene regulation. However, technical limitations and sparse\ncoverage can preclude this task. scMET is a hierarchical\nBayesian model which overcomes sparsity, sharing information\nacross cells and genomic features to robustly quantify genuine\nbiological heterogeneity. scMET can identify highly variable\nfeatures that drive epigenetic heterogeneity, and perform\ndifferential methylation and variability analyses. We\nillustrate how scMET facilitates the characterization of\nepigenetically distinct cell populations and how it enables the\nformulation of novel hypotheses on the epigenetic regulation of\ngene expression.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.2.0",
  "Biarch": "true",
  "BugReports": "https://github.com/andreaskapou/scMET/issues",
  "SystemRequirements": "GNU make",
  "biocViews": "ImmunoOncology, DNAMethylation, DifferentialMethylation,\nDifferentialExpression, GeneExpression, GeneRegulation,\nEpigenetics, Genetics, Clustering, FeatureExtraction,\nRegression, Bayesian, Sequencing, Coverage, SingleCell",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "cmake make libuv1-dev zlib1g-dev",
  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:58:45 UTC",
  "RemoteUrl": "https://github.com/bioc/scMET",
  "RemoteRef": "HEAD",
  "RemoteSha": "be256cc3117c8bb503b95869af557f44df404f00",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-30 09:33:27 UTC",
    "User": "root"
  },
  "Author": "Andreas C. Kapourani [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-2303-1953>),\nJohn Riddell [ctb]",
  "Maintainer": "Andreas C. Kapourani <kapouranis.andreas@gmail.com>",
  "MD5sum": "a41bd16fa71017923f0feb9a39954f7c",
  "_user": "bioc",
  "_type": "src",
  "_file": "scMET_1.15.0.tar.gz",
  "_fileid": "66f09809395f8739374912774d2410c8ed04c8733f975f48e6c11f32d0202232",
  "_filesize": 3297068,
  "_sha256": "66f09809395f8739374912774d2410c8ed04c8733f975f48e6c11f32d0202232",
  "_created": "2026-05-30T09:33:27.000Z",
  "_published": "2026-05-30T13:20:12.886Z",
  "_jobs": [
    {
      "job": 78639967635,
      "time": 232,
      "config": "bioc-checks",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "7307303634"
    },
    {
      "job": 78639967652,
      "time": 324,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "7307245779"
    },
    {
      "job": 78639967651,
      "time": 405,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "7307320665"
    },
    {
      "job": 78639967663,
      "time": 337,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "7307247088"
    },
    {
      "job": 78639967669,
      "time": 347,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "7307315058"
    },
    {
      "job": 78639967666,
      "time": 203,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "7308466696"
    },
    {
      "job": 78639967657,
      "time": 414,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "7307261969"
    },
    {
      "job": 78639967676,
      "time": 217,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "7308468295"
    },
    {
      "job": 78639967659,
      "time": 477,
      "config": "macos-release-x86_64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "7307268949"
    },
    {
      "job": 78639226644,
      "time": 396,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7307213618"
    },
    {
      "job": 78639967633,
      "time": 152,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "FAIL",
      "artifact": ""
    },
    {
      "job": 78639967645,
      "time": 520,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "7307335214"
    },
    {
      "job": 78639967643,
      "time": 499,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "7307333251"
    },
    {
      "job": 78639967655,
      "time": 477,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "7307331165"
    }
  ],
  "_bioccheck": {
    "error": 0,
    "warning": 0,
    "note": 13
  },
  "_buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/bioc/scMET",
  "_commit": {
    "id": "be256cc3117c8bb503b95869af557f44df404f00",
    "author": "A Wokaty <andres.wokaty@sph.cuny.edu>",
    "committer": "A Wokaty <andres.wokaty@sph.cuny.edu>",
    "message": "bump x.y.z version to odd y following creation of RELEASE_3_23 branch\n",
    "time": 1777381125
  },
  "_maintainer": {
    "name": "Andreas C. Kapourani",
    "email": "kapouranis.andreas@gmail.com",
    "login": "andreaskapou",
    "twitter": "@AndreasKapou",
    "description": "Post-doctoral fellow @EdinburghUni, @VallejosGroup and Neil Henderson. Machine learning and statistical modelling of single-cell genomics.",
    "uuid": 10403733,
    "orcid": "0000-0003-2303-1953"
  },
  "_distro": "noble",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.2.0",
      "role": "Depends"
    },
    {
      "package": "BH",
      "version": ">= 1.66.0",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "version": ">= 1.0.0",
      "role": "LinkingTo"
    },
    {
      "package": "RcppEigen",
      "version": ">= 0.3.3.3.0",
      "role": "LinkingTo"
    },
    {
      "package": "RcppParallel",
      "version": ">= 5.0.1",
      "role": "LinkingTo"
    },
    {
      "package": "rstan",
      "version": ">= 2.21.3",
      "role": "LinkingTo"
    },
    {
      "package": "StanHeaders",
      "version": ">= 2.21.0.7",
      "role": "LinkingTo"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "Rcpp",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "RcppParallel",
      "version": ">= 5.0.1",
      "role": "Imports"
    },
    {
      "package": "rstan",
      "version": ">= 2.21.3",
      "role": "Imports"
    },
    {
      "package": "rstantools",
      "version": ">= 2.1.0",
      "role": "Imports"
    },
    {
      "package": "VGAM",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "logitnorm",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "matrixStats",
      "role": "Imports"
    },
    {
      "package": "assertthat",
      "role": "Imports"
    },
    {
      "package": "viridis",
      "role": "Imports"
    },
    {
      "package": "coda",
      "role": "Imports"
    },
    {
      "package": "BiocStyle",
      "role": "Imports"
    },
    {
      "package": "cowplot",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "SummarizedExperiment",
      "role": "Imports"
    },
    {
      "package": "SingleCellExperiment",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "S4Vectors",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "bioc",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-44",
      "n": 2
    },
    {
      "week": "2026-18",
      "n": 2
    }
  ],
  "_tags": [],
  "_bioc": [
    {
      "branch": "devel",
      "version": "1.15.0",
      "bioc": "3.24"
    },
    {
      "branch": "release",
      "version": "1.14.0",
      "bioc": "3.23"
    }
  ],
  "_topics": [
    "immunooncology",
    "dnamethylation",
    "differentialmethylation",
    "differentialexpression",
    "geneexpression",
    "generegulation",
    "epigenetics",
    "genetics",
    "clustering",
    "featureextraction",
    "regression",
    "bayesian",
    "sequencing",
    "coverage",
    "singlecell",
    "bayesian-inference",
    "generalised-linear-models",
    "heterogeneity",
    "hierarchical-models",
    "methylation-analysis",
    "single-cell",
    "cpp"
  ],
  "_stars": 25,
  "_contributors": [
    {
      "user": "andreaskapou",
      "count": 36,
      "uuid": 10403733
    },
    {
      "user": "alanocallaghan",
      "count": 1,
      "uuid": 10779688
    },
    {
      "user": "andrjohns",
      "count": 1,
      "uuid": 27717896
    }
  ],
  "_userbio": {
    "uuid": 2286807,
    "type": "organization",
    "name": "Bioconductor",
    "description": "Software for the analysis and comprehension of high-throughput genomic data"
  },
  "_downloads": {
    "count": 318,
    "source": "https://www.bioconductor.org/packages/stats/bioc/scMET"
  },
  "_devurl": "https://github.com/andreaskapou/scmet",
  "_searchresults": 42,
  "_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/scMET.html",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/andreaskapou/scmet",
  "_realowner": "bioc",
  "_cranurl": false,
  "_exports": [
    "bb_mle",
    "create_design_matrix",
    "sce_to_scmet",
    "scmet",
    "scmet_differential",
    "scmet_hvf",
    "scmet_lvf",
    "scmet_plot_efdr_efnr_grid",
    "scmet_plot_estimated_vs_true",
    "scmet_plot_ma",
    "scmet_plot_mean_var",
    "scmet_plot_vf_tail_prob",
    "scmet_plot_volcano",
    "scmet_simulate",
    "scmet_simulate_diff",
    "scmet_to_sce"
  ],
  "_datasets": [
    {
      "name": "scmet_diff_dt",
      "title": "Synthetic methylation data from two groups of cells",
      "object": "scmet_diff_dt",
      "class": [
        "scmet_simulate_diff"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "scmet_dt",
      "title": "Synthetic methylation data from a single population",
      "object": "scmet_dt",
      "class": [
        "scmet_simulate"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "scMET-package",
      "title": "'scMET': Bayesian modelling of DNA methylation at single-cell resolution.",
      "topics": [
        "scMET-package"
      ]
    },
    {
      "page": "bb_mle",
      "title": "Beta binomial maximum likelihood estimation (BB MLE)",
      "topics": [
        "bb_mle"
      ]
    },
    {
      "page": "create_design_matrix",
      "title": "Create design matrix",
      "topics": [
        "create_design_matrix"
      ]
    },
    {
      "page": "sce_to_scmet",
      "title": "Convert from SingleCellExperiment to scmet object",
      "topics": [
        "sce_to_scmet"
      ]
    },
    {
      "page": "scmet",
      "title": "Perform inference with scMET",
      "topics": [
        "scMET",
        "scmet",
        "scmet_mcmc",
        "scmet_vb"
      ]
    },
    {
      "page": "scmet_diff_dt",
      "title": "Synthetic methylation data from two groups of cells",
      "topics": [
        "scmet_diff_dt"
      ]
    },
    {
      "page": "scmet_differential",
      "title": "Differential testing using scMET",
      "topics": [
        "differential_methylation,",
        "differential_test,",
        "differential_variability",
        "scmet_differential"
      ]
    },
    {
      "page": "scmet_dt",
      "title": "Synthetic methylation data from a single population",
      "topics": [
        "scmet_dt"
      ]
    },
    {
      "page": "scmet_hvf_lvf",
      "title": "Detect highly (or lowly) variable features with scMET",
      "topics": [
        "detect_hvf",
        "detect_hvf_lvf",
        "detect_lvf",
        "scmet_hvf",
        "scmet_hvf_lvf",
        "scmet_lvf"
      ]
    },
    {
      "page": "scmet_plot_efdr_efnr_grid",
      "title": "Plot EFDR/EFNR grid",
      "topics": [
        "scmet_plot_efdr_efnr_grid"
      ]
    },
    {
      "page": "scmet_plot_estimated_vs_true",
      "title": "Plot true versus inferred parameter estimated.",
      "topics": [
        "scmet_plot_estimated_vs_true"
      ]
    },
    {
      "page": "scmet_plot_ma",
      "title": "MA plot for differential analysis",
      "topics": [
        "scmet_plot_ma"
      ]
    },
    {
      "page": "scmet_plot_mean_var",
      "title": "Plotting mean-variability relationship",
      "topics": [
        "scmet_plot_mean_var"
      ]
    },
    {
      "page": "scmet_plot_vf_tail_prob",
      "title": "Plot tail probabilities for variable feature analysis",
      "topics": [
        "scmet_plot_vf_tail_prob"
      ]
    },
    {
      "page": "scmet_plot_volcano",
      "title": "Volcano plot for differential analysis",
      "topics": [
        "scmet_plot_volcano"
      ]
    },
    {
      "page": "scmet_simulate",
      "title": "Simulate methylation data from scMET.",
      "topics": [
        "scmet_simulate"
      ]
    },
    {
      "page": "scmet_simulate_diff",
      "title": "Simulate differential methylation data from scMET.",
      "topics": [
        "scmet_simulate_diff"
      ]
    },
    {
      "page": "scmet_to_sce",
      "title": "Convert from scmet to SingleCellExperiment object.",
      "topics": [
        "scmet_to_sce"
      ]
    }
  ],
  "_readme": "https://github.com/bioc/scMET/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "assertthat",
    "backports",
    "base64enc",
    "BH",
    "Biobase",
    "BiocGenerics",
    "BiocManager",
    "BiocStyle",
    "bookdown",
    "bslib",
    "cachem",
    "callr",
    "checkmate",
    "cli",
    "coda",
    "cowplot",
    "cpp11",
    "data.table",
    "DelayedArray",
    "desc",
    "digest",
    "distributional",
    "dplyr",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "fs",
    "generics",
    "GenomicRanges",
    "ggplot2",
    "glue",
    "gridExtra",
    "gtable",
    "highr",
    "htmltools",
    "inline",
    "IRanges",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "lattice",
    "lifecycle",
    "logitnorm",
    "loo",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixGenerics",
    "matrixStats",
    "memoise",
    "mime",
    "numDeriv",
    "pillar",
    "pkgbuild",
    "pkgconfig",
    "posterior",
    "processx",
    "ps",
    "QuickJSR",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppEigen",
    "RcppParallel",
    "rlang",
    "rmarkdown",
    "rstan",
    "rstantools",
    "S4Arrays",
    "S4Vectors",
    "S7",
    "sass",
    "scales",
    "Seqinfo",
    "SingleCellExperiment",
    "SparseArray",
    "StanHeaders",
    "SummarizedExperiment",
    "tensorA",
    "tibble",
    "tidyselect",
    "tinytex",
    "utf8",
    "vctrs",
    "VGAM",
    "viridis",
    "viridisLite",
    "withr",
    "xfun",
    "XVector",
    "yaml"
  ],
  "_sysdeps": [
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "scMET_vignette.Rmd",
      "filename": "scMET_vignette.html",
      "title": "scMET Bayesian modelling of DNA methylation heterogeneity at single-cell resolution",
      "author": "Andreas C. Kapourani, Ricard Argelaguet, Guido Sanguinetti, Catalina Vallejos",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "scMET analysis on synthetic data",
        "Loading synthetic data",
        "scMET inference",
        "Output summary",
        "Plotting mean-overdispersion relationship",
        "Comparing true versus estimated parameters",
        "scMET versus beta-binomial MLE (shrinkage)",
        "Identifying highly variable features",
        "Differential analysis with scMET",
        "Fitting scMET for each group",
        "Running differential analysis",
        "Plotting differential hits",
        "Interoperability between scMET and the SingleCellExperiment class",
        "Session Info",
        "Acknowledgements"
      ],
      "created": "2022-03-23 18:04:27",
      "modified": "2022-05-30 11:59:59",
      "commits": 10
    }
  ],
  "_score": 6.3222192947339195,
  "_indexed": true,
  "_nocasepkg": "scmet",
  "_universes": [
    "bioc",
    "andreaskapou"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.15.0",
      "date": "2026-05-30T09:37:08.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "c6d35ae49c228a6cd94a8570aa3994cc87889ff7ec090ce09ebb944092fd6457",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.15.0",
      "date": "2026-05-30T09:48:38.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "b7d37f02e92d53e74335eab9b9065a4e4c9dc666b0c9d5595dd2115648d10190",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.15.0",
      "date": "2026-05-30T09:37:11.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "ecbca95d0dcb769e8fb68dbd0774d81493dfbb7c32dd3f0684205a4aab5a47b6",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.15.0",
      "date": "2026-05-30T09:48:15.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "931e1a4518fdfe6a877b71e25433371156bde91c42aa9b2955c2e9fbbdb062e2",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.15.0",
      "date": "2026-05-30T13:17:20.000Z",
      "arch": "aarch64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "9f0ae28dd042da4fd2d40bec5f61f73a871c7a087079b442e3fd209529e1976c",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.15.0",
      "date": "2026-05-30T09:38:18.000Z",
      "arch": "x86_64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "2ef06eb3aebfb005707bc1247a159dcdb980786272316de59266cf1f57cd9139",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.15.0",
      "date": "2026-05-30T13:17:39.000Z",
      "arch": "aarch64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "a548523c9d4043e424ea38b3c919d34633753e221744662110e016318b9f0550",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.15.0",
      "date": "2026-05-30T09:39:05.000Z",
      "arch": "x86_64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "1986164279a702fccd958a6ecdca0659ed32ad4485a6d9075a1c402eea4e599b",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.15.0",
      "date": "2026-05-30T09:48:49.000Z",
      "arch": "x86_64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "85dcbfe2293cd8e7bf1520f1c2a399e5a570604c2d0acd9366f763acc1e48c58",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.15.0",
      "date": "2026-05-30T09:47:55.000Z",
      "arch": "x86_64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "a3b4a1d5a03fabecb9eb9349f94b75b848ea38e16e0820c413a5f8d91903a493",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.15.0",
      "date": "2026-05-30T09:47:54.000Z",
      "arch": "x86_64",
      "commit": "be256cc3117c8bb503b95869af557f44df404f00",
      "fileid": "50bd6141331e024d8020523cf4b40960a97499be3e4aa23073fe559677ad83fb",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26675626095"
    }
  ]
}