{
  "_id": "6a21329bcd65a98ecbd25b43",
  "Package": "ggm",
  "Title": "Graphical Markov Models with Mixed Graphs",
  "Version": "2.5.2",
  "Authors@R": "c(person(given = \"Giovanni M.\", family = \"Marchetti\", email = \"giovanni.marchetti@unifi.it\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"https://orcid.org/0000-0003-4413-9349\")), person(\"Mathias\", \"Drton\", email = \"mathias.drton@tum.de\", role = \"aut\", comment = c(ORCID = \"https://orcid.org/0000-0001-5614-3025\")), person(\"Kayvan\", \"Sadeghi\", email = \"k.sadeghi@ucl.ac.uk\", role = \"aut\", comment = c(ORCID = \"https://orcid.org/0000-0001-7314-744X\")))",
  "Description": "Provides functions for defining mixed graphs containing\nthree types of edges, directed, undirected and bi-directed,\nwith possibly multiple edges. These graphs are useful because\nthey capture fundamental independence structures in\nmultivariate distributions and in the induced distributions\nafter marginalization and conditioning. The package is\nespecially concerned with Gaussian graphical models for (i) ML\nestimation for directed acyclic graphs, undirected and\nbi-directed graphs and ancestral graph models (ii) testing\nseveral conditional independencies (iii) checking global\nidentification of DAG Gaussian models with one latent variable\n(iv) testing Markov equivalences and generating Markov\nequivalent graphs of specific types.",
  "License": "GPL-2",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 08:05:40 UTC",
    "User": "root"
  },
  "Author": "Giovanni M. Marchetti [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-4413-9349>), Mathias Drton [aut]\n(ORCID: <https://orcid.org/0000-0001-5614-3025>), Kayvan\nSadeghi [aut] (ORCID: <https://orcid.org/0000-0001-7314-744X>)",
  "Maintainer": "Giovanni M. Marchetti <giovanni.marchetti@unifi.it>",
  "Config/pak/sysreqs": "libglpk-dev libxml2-dev",
  "Repository": "https://stathin.r-universe.dev",
  "Date/Publication": "2025-07-25 14:42:10 UTC",
  "RemoteUrl": "https://github.com/cran/ggm",
  "RemoteRef": "HEAD",
  "RemoteSha": "8b25e95740bbad33780f5ffd87e7a7262aecd74a",
  "MD5sum": "d76beea3fab5013ae1ede239f3330e39",
  "_user": "stathin",
  "_type": "src",
  "_file": "ggm_2.5.2.tar.gz",
  "_fileid": "f7da398ae9769cd1232b3b9af26058152c50c57d05777aaa0134f383c8cb303f",
  "_filesize": 480506,
  "_sha256": "f7da398ae9769cd1232b3b9af26058152c50c57d05777aaa0134f383c8cb303f",
  "_created": "2026-06-04T08:05:40.000Z",
  "_published": "2026-06-04T08:08:59.197Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79476237472,
      "time": 131,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7406246011"
    },
    {
      "job": 79476237497,
      "time": 128,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7406245061"
    },
    {
      "job": 79476237365,
      "time": 156,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7406246242"
    },
    {
      "job": 79476237469,
      "time": 140,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7406239553"
    },
    {
      "job": 79475753574,
      "time": 177,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7406202729"
    },
    {
      "job": 79476237414,
      "time": 105,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7406236355"
    },
    {
      "job": 79476237396,
      "time": 87,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7406231418"
    },
    {
      "job": 79476237399,
      "time": 90,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7406232571"
    },
    {
      "job": 79476237384,
      "time": 87,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7406230971"
    }
  ],
  "_buildurl": "https://github.com/r-universe/stathin/actions/runs/26939047675",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/ggm",
  "_commit": {
    "id": "8b25e95740bbad33780f5ffd87e7a7262aecd74a",
    "author": "Giovanni M. Marchetti <giovanni.marchetti@unifi.it>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 2.5.2\n",
    "time": 1753454530
  },
  "_maintainer": {
    "name": "Giovanni M. Marchetti",
    "email": "giovanni.marchetti@unifi.it",
    "login": "stathin",
    "description": "Prof. of Statistics at the University of Florence",
    "uuid": 5725965,
    "orcid": "0000-0003-4413-9349"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.6.0",
      "role": "Depends"
    },
    {
      "package": "methods",
      "role": "Depends"
    },
    {
      "package": "BiocManager",
      "role": "Imports"
    },
    {
      "package": "graph",
      "role": "Imports"
    },
    {
      "package": "igraph",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 28,
  "_updates": [
    {
      "week": "2025-30",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "2.5.2",
      "date": "2025-07-25"
    }
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "stathin",
      "count": 5,
      "uuid": 5725965
    }
  ],
  "_userbio": {
    "uuid": 5725965,
    "type": "user",
    "name": "Giovanni Maria Marchetti",
    "description": "Prof. of Statistics at the University of Florence"
  },
  "_downloads": {
    "count": 7488,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ggm"
  },
  "_mentions": 19,
  "_searchresults": 346,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ggm.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "manual.pdf"
  ],
  "_realowner": "stathin",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.5",
      "date": "2003-09-12"
    },
    {
      "version": "0.8",
      "date": "2003-11-13"
    },
    {
      "version": "0.8-1",
      "date": "2003-11-15"
    },
    {
      "version": "1.0",
      "date": "2005-05-31"
    },
    {
      "version": "1.0.2",
      "date": "2006-02-09"
    },
    {
      "version": "1.0.3",
      "date": "2010-01-06"
    },
    {
      "version": "1.0.4",
      "date": "2010-02-15"
    },
    {
      "version": "1.99",
      "date": "2011-11-23"
    },
    {
      "version": "1.99-1",
      "date": "2011-12-11"
    },
    {
      "version": "1.99-2",
      "date": "2012-01-12"
    },
    {
      "version": "1.99-3",
      "date": "2012-06-14"
    },
    {
      "version": "1.99-5",
      "date": "2012-06-19"
    },
    {
      "version": "1.995-0",
      "date": "2012-08-24"
    },
    {
      "version": "1.995-2",
      "date": "2012-09-14"
    },
    {
      "version": "1.995-3",
      "date": "2012-10-05"
    },
    {
      "version": "1.995-5",
      "date": "2014-01-15"
    },
    {
      "version": "2.0",
      "date": "2014-03-21"
    },
    {
      "version": "2.1",
      "date": "2014-05-19"
    },
    {
      "version": "2.2",
      "date": "2014-12-04"
    },
    {
      "version": "2.3",
      "date": "2015-01-21"
    },
    {
      "version": "2.5",
      "date": "2020-02-16"
    },
    {
      "version": "2.5.1",
      "date": "2024-01-25"
    },
    {
      "version": "2.5.2",
      "date": "2025-07-25"
    }
  ],
  "_exports": [
    "adjMatrix",
    "AG",
    "allEdges",
    "basiSet",
    "bd",
    "bfsearch",
    "binve",
    "blkdiag",
    "blodiag",
    "ch",
    "checkIdent",
    "cmpGraph",
    "conComp",
    "correlations",
    "cycleMatrix",
    "DAG",
    "DG",
    "diagv",
    "drawGraph",
    "dSep",
    "edgematrix",
    "essentialGraph",
    "findPath",
    "fitAncestralGraph",
    "fitConGraph",
    "fitCovGraph",
    "fitDag",
    "fitDagLatent",
    "fitmlogit",
    "fundCycles",
    "grMAT",
    "icf",
    "icfmag",
    "In",
    "inducedChainGraph",
    "inducedConGraph",
    "inducedCovGraph",
    "inducedDAG",
    "inducedRegGraph",
    "isAcyclic",
    "isADMG",
    "isAG",
    "isGident",
    "MAG",
    "makeMG",
    "marg.param",
    "MarkEqMag",
    "MarkEqRcg",
    "mat.mlogit",
    "Max",
    "MRG",
    "msep",
    "MSG",
    "null",
    "pa",
    "parcor",
    "pcor",
    "pcor.test",
    "plotGraph",
    "powerset",
    "rcorr",
    "rem",
    "RepMarBG",
    "RepMarDAG",
    "RepMarUG",
    "RG",
    "rnormDag",
    "RR",
    "rsphere",
    "SG",
    "shipley.test",
    "SPl",
    "swp",
    "topOrder",
    "topSort",
    "transClos",
    "triDec",
    "UG",
    "unmakeMG"
  ],
  "_datasets": [
    {
      "name": "anger",
      "title": "Anger data",
      "object": "anger",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "X",
        "Y",
        "Z",
        "U"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "derived",
      "title": "Data on blood pressure body mass and age",
      "object": "derived",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "glucose",
      "title": "Glucose control",
      "object": "glucose",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Y",
        "X",
        "Z",
        "U",
        "V",
        "W",
        "A",
        "B"
      ],
      "rows": 68,
      "table": true,
      "tojson": true
    },
    {
      "name": "marks",
      "title": "Mathematics marks",
      "object": "marks",
      "class": [
        "data.frame"
      ],
      "fields": [
        "mechanics",
        "vectors",
        "algebra",
        "analysis",
        "statistics"
      ],
      "rows": 88,
      "table": true,
      "tojson": true
    },
    {
      "name": "stress",
      "title": "Stress",
      "object": "stress",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "Y",
        "V",
        "X",
        "U"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "surdata",
      "title": "A simulated data set",
      "object": "surdata",
      "class": [
        "data.frame"
      ],
      "fields": [
        "A",
        "B",
        "X",
        "Z"
      ],
      "rows": 600,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "adjMatrix",
      "title": "Adjacency matrix of a graph",
      "topics": [
        "adjMatrix"
      ]
    },
    {
      "page": "AG",
      "title": "Ancestral graph",
      "topics": [
        "AG"
      ]
    },
    {
      "page": "allEdges",
      "title": "All edges of a graph",
      "topics": [
        "allEdges"
      ]
    },
    {
      "page": "anger",
      "title": "Anger data",
      "topics": [
        "anger"
      ]
    },
    {
      "page": "basiSet",
      "title": "Basis set of a DAG",
      "topics": [
        "basiSet"
      ]
    },
    {
      "page": "bfsearch",
      "title": "Breadth first search",
      "topics": [
        "bfsearch"
      ]
    },
    {
      "page": "binve",
      "title": "Inverts a marginal log-linear parametrization",
      "topics": [
        "binve"
      ]
    },
    {
      "page": "blkdiag",
      "title": "Block diagonal matrix",
      "topics": [
        "blkdiag"
      ]
    },
    {
      "page": "blodiag",
      "title": "Block diagonal matrix",
      "topics": [
        "blodiag"
      ]
    },
    {
      "page": "checkIdent",
      "title": "Identifiability of a model with one latent variable",
      "topics": [
        "checkIdent"
      ]
    },
    {
      "page": "cmpGraph",
      "title": "The complementary graph",
      "topics": [
        "cmpGraph"
      ]
    },
    {
      "page": "conComp",
      "title": "Connectivity components",
      "topics": [
        "conComp"
      ]
    },
    {
      "page": "correlations",
      "title": "Marginal and partial correlations",
      "topics": [
        "correlations"
      ]
    },
    {
      "page": "cycleMatrix",
      "title": "Fundamental cycles",
      "topics": [
        "cycleMatrix"
      ]
    },
    {
      "page": "DAG",
      "title": "Directed acyclic graphs (DAGs)",
      "topics": [
        "DAG"
      ]
    },
    {
      "page": "derived",
      "title": "Data on blood pressure body mass and age",
      "topics": [
        "derived"
      ]
    },
    {
      "page": "DG",
      "title": "Directed graphs",
      "topics": [
        "DG"
      ]
    },
    {
      "page": "diagv",
      "title": "Matrix product with a diagonal matrix",
      "topics": [
        "diagv"
      ]
    },
    {
      "page": "drawGraph",
      "title": "Drawing a graph with a simple point and click interface.",
      "topics": [
        "drawGraph"
      ]
    },
    {
      "page": "dSep",
      "title": "d-separation",
      "topics": [
        "dSep"
      ]
    },
    {
      "page": "edgematrix",
      "title": "Edge matrix of a graph",
      "topics": [
        "edgematrix"
      ]
    },
    {
      "page": "essentialGraph",
      "title": "Essential graph",
      "topics": [
        "essentialGraph"
      ]
    },
    {
      "page": "findPath",
      "title": "Finding paths",
      "topics": [
        "findPath"
      ]
    },
    {
      "page": "fitAncestralGraph",
      "title": "Fitting of Gaussian Ancestral Graph Models",
      "topics": [
        "fitAncestralGraph"
      ]
    },
    {
      "page": "fitConGraph",
      "title": "Fitting a Gaussian concentration graph model",
      "topics": [
        "fitConGraph"
      ]
    },
    {
      "page": "fitCovGraph",
      "title": "Fitting of Gaussian covariance graph models",
      "topics": [
        "fitCovGraph"
      ]
    },
    {
      "page": "fitDag",
      "title": "Fitting of Gaussian DAG models",
      "topics": [
        "fitDag"
      ]
    },
    {
      "page": "fitDagLatent",
      "title": "Fitting Gaussian DAG models with one latent variable",
      "topics": [
        "fitDagLatent"
      ]
    },
    {
      "page": "fitmlogit",
      "title": "Multivariate logistic models",
      "topics": [
        "fitmlogit"
      ]
    },
    {
      "page": "fundCycles",
      "title": "Fundamental cycles",
      "topics": [
        "fundCycles"
      ]
    },
    {
      "page": "ggm",
      "title": "The package 'ggm': summary information",
      "topics": [
        "ggm"
      ]
    },
    {
      "page": "glucose",
      "title": "Glucose control",
      "topics": [
        "glucose"
      ]
    },
    {
      "page": "grMAT",
      "title": "Graph to adjacency matrix",
      "topics": [
        "grMAT"
      ]
    },
    {
      "page": "In",
      "title": "Indicator matrix",
      "topics": [
        "In"
      ]
    },
    {
      "page": "InducedGraphs",
      "title": "Graphs induced by marginalization or conditioning",
      "topics": [
        "inducedChainGraph",
        "inducedConGraph",
        "inducedCovGraph",
        "inducedDAG",
        "InducedGraphs",
        "inducedRegGraph"
      ]
    },
    {
      "page": "isAcyclic",
      "title": "Graph queries",
      "topics": [
        "isAcyclic"
      ]
    },
    {
      "page": "isADMG",
      "title": "Acyclic directed mixed graphs",
      "topics": [
        "isADMG"
      ]
    },
    {
      "page": "isAG",
      "title": "Ancestral graph",
      "topics": [
        "isAG"
      ]
    },
    {
      "page": "isGident",
      "title": "G-identifiability of an UG",
      "topics": [
        "isGident"
      ]
    },
    {
      "page": "MAG",
      "title": "Maximal ancestral graph",
      "topics": [
        "MAG"
      ]
    },
    {
      "page": "makeMG",
      "title": "Mixed Graphs",
      "topics": [
        "makeMG"
      ]
    },
    {
      "page": "marg.param",
      "title": "Link function of marginal log-linear parameterization",
      "topics": [
        "marg.param"
      ]
    },
    {
      "page": "MarkEqMag",
      "title": "Markov equivalence of maximal ancestral graphs",
      "topics": [
        "MarkEqMag"
      ]
    },
    {
      "page": "MarkEqRcg",
      "title": "Markov equivalence for regression chain graphs.",
      "topics": [
        "MarkEqRcg"
      ]
    },
    {
      "page": "marks",
      "title": "Mathematics marks",
      "topics": [
        "marks"
      ]
    },
    {
      "page": "mat.mlogit",
      "title": "Multivariate logistic parametrization",
      "topics": [
        "mat.mlogit"
      ]
    },
    {
      "page": "Max",
      "title": "Maximisation for graphs",
      "topics": [
        "Max"
      ]
    },
    {
      "page": "MRG",
      "title": "Maximal ribbonless graph",
      "topics": [
        "MRG"
      ]
    },
    {
      "page": "msep",
      "title": "The m-separation criterion",
      "topics": [
        "msep"
      ]
    },
    {
      "page": "MSG",
      "title": "Maximal summary graph",
      "topics": [
        "MSG"
      ]
    },
    {
      "page": "null",
      "title": "Null space of a matrix",
      "topics": [
        "null"
      ]
    },
    {
      "page": "parcor",
      "title": "Partial correlations",
      "topics": [
        "parcor"
      ]
    },
    {
      "page": "pcor",
      "title": "Partial correlation",
      "topics": [
        "pcor"
      ]
    },
    {
      "page": "pcor.test",
      "title": "Test for zero partial association",
      "topics": [
        "pcor.test"
      ]
    },
    {
      "page": "plotGraph",
      "title": "Plot of a mixed graph",
      "topics": [
        "plotGraph"
      ]
    },
    {
      "page": "powerset",
      "title": "Power set",
      "topics": [
        "powerset"
      ]
    },
    {
      "page": "rcorr",
      "title": "Random correlation matrix",
      "topics": [
        "rcorr"
      ]
    },
    {
      "page": "RepMarBG",
      "title": "Representational Markov equivalence to bidirected graphs.",
      "topics": [
        "RepMarBG"
      ]
    },
    {
      "page": "RepMarDAG",
      "title": "Representational Markov equivalence to directed acyclic graphs.",
      "topics": [
        "RepMarDAG"
      ]
    },
    {
      "page": "RepMarUG",
      "title": "Representational Markov equivalence to undirected graphs.",
      "topics": [
        "RepMarUG"
      ]
    },
    {
      "page": "RG",
      "title": "Ribbonless graph",
      "topics": [
        "RG"
      ]
    },
    {
      "page": "rnormDag",
      "title": "Random sample from a decomposable Gaussian model",
      "topics": [
        "rnormDag"
      ]
    },
    {
      "page": "rsphere",
      "title": "Random vectors on a sphere",
      "topics": [
        "rsphere"
      ]
    },
    {
      "page": "SG",
      "title": "summary graph",
      "topics": [
        "SG"
      ]
    },
    {
      "page": "shipley.test",
      "title": "Test of all independencies implied by a given DAG",
      "topics": [
        "shipley.test"
      ]
    },
    {
      "page": "SimpleGraphOperations",
      "title": "Simple graph operations",
      "topics": [
        "bd",
        "ch",
        "pa"
      ]
    },
    {
      "page": "stress",
      "title": "Stress",
      "topics": [
        "stress"
      ]
    },
    {
      "page": "surdata",
      "title": "A simulated data set",
      "topics": [
        "surdata"
      ]
    },
    {
      "page": "swp",
      "title": "Sweep operator",
      "topics": [
        "swp"
      ]
    },
    {
      "page": "topSort",
      "title": "Topological sort",
      "topics": [
        "topOrder",
        "topSort"
      ]
    },
    {
      "page": "transClos",
      "title": "Transitive closure of a graph",
      "topics": [
        "transClos"
      ]
    },
    {
      "page": "triDec",
      "title": "Triangular decomposition of a covariance matrix",
      "topics": [
        "triDec"
      ]
    },
    {
      "page": "UG",
      "title": "Defining an undirected graph (UG)",
      "topics": [
        "UG"
      ]
    },
    {
      "page": "unmakeMG",
      "title": "Loopless mixed graphs components",
      "topics": [
        "unmakeMG"
      ]
    },
    {
      "page": "UtilityFunctions",
      "title": "Utility functions",
      "topics": [
        "likGau",
        "rem",
        "RR",
        "SPl"
      ]
    }
  ],
  "_rundeps": [
    "BiocGenerics",
    "BiocManager",
    "cli",
    "cpp11",
    "generics",
    "glue",
    "graph",
    "igraph",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
    "pkgconfig",
    "rlang",
    "vctrs"
  ],
  "_score": 6.337721220584707,
  "_indexed": true,
  "_nocasepkg": "ggm",
  "_universes": [
    "stathin"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.5.2",
      "date": "2026-06-04T08:07:48.000Z",
      "distro": "noble",
      "commit": "8b25e95740bbad33780f5ffd87e7a7262aecd74a",
      "fileid": "920b6520eacd70f788af02e534a18988eb4a3d829a2254df8b709ff584a24a4a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/stathin/actions/runs/26939047675"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "2.5.2",
      "date": "2026-06-04T08:07:45.000Z",
      "distro": "noble",
      "commit": "8b25e95740bbad33780f5ffd87e7a7262aecd74a",
      "fileid": "563ca4c0eb4c155f2c3b9017788fbf596d1dbd6483ad6ae0966a95905905c931",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/stathin/actions/runs/26939047675"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "2.5.2",
      "date": "2026-06-04T08:08:01.000Z",
      "commit": "8b25e95740bbad33780f5ffd87e7a7262aecd74a",
      "fileid": "f3703fcdc98988f1f9fa5a602fffe4df234ff956ca0aaafd3d527ee18ca76b4a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/stathin/actions/runs/26939047675"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "2.5.2",
      "date": "2026-06-04T08:07:40.000Z",
      "commit": "8b25e95740bbad33780f5ffd87e7a7262aecd74a",
      "fileid": "373590edad840f5a127ffa74a640b6f826cbbc7c580f53fbacf58b5bf83fce7b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/stathin/actions/runs/26939047675"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.5.2",
      "date": "2026-06-04T08:07:50.000Z",
      "commit": "8b25e95740bbad33780f5ffd87e7a7262aecd74a",
      "fileid": "713a29da46b5a297b9eb84df2c5c0d0b02dc4b9366809889f1914e860b0619ab",
      "status": "success",
      "buildurl": "https://github.com/r-universe/stathin/actions/runs/26939047675"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "2.5.2",
      "date": "2026-06-04T08:06:58.000Z",
      "commit": "8b25e95740bbad33780f5ffd87e7a7262aecd74a",
      "fileid": "d9b2328624a8cd8e2d727edc842abd37e7875c334934900fddea3b12db4cbde7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/stathin/actions/runs/26939047675"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "2.5.2",
      "date": "2026-06-04T08:07:00.000Z",
      "commit": "8b25e95740bbad33780f5ffd87e7a7262aecd74a",
      "fileid": "aba3cc1c46b11959ed743dcdb0804353a8619fccb8a6d52f9529ae7c223ea5de",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/stathin/actions/runs/26939047675"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "2.5.2",
      "date": "2026-06-04T08:06:57.000Z",
      "commit": "8b25e95740bbad33780f5ffd87e7a7262aecd74a",
      "fileid": "3d2396912bd68120a5b01954139768acfeb24dd4d2e89be2a5accfdff0fbe340",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/stathin/actions/runs/26939047675"
    }
  ]
}