{
  "_id": "6ae9e9702e87f76f20ad1288",
  "Package": "sgdGMF",
  "Type": "Package",
  "Title": "Estimation of Generalized Matrix Factorization Models via\nStochastic Gradient Descent",
  "Version": "1.0.1",
  "Date": "2025-05-17",
  "Authors@R": "c(person(\"Cristian\", \"Castiglione\", email = \"cristian_castiglione@libero.it\",\nrole = c(\"aut\",\"cre\"), comment = c(ORCID = \"0000-0001-5883-4890\")),\nperson(\"Davide\", \"Risso\", email = \"davide.risso@unipd.it\",\nrole = c(\"ctb\"), comment = c(ORCID = \"0000-0001-8508-5012\")),\nperson(\"Alexandre\", \"Segers\", email = \"alexandre.segers@ugent.be\",\nrole = c(\"ctb\"), comment = c(ORCID = \"0009-0004-2028-7595\")))",
  "Description": "Efficient framework to estimate high-dimensional\ngeneralized matrix factorization models using penalized maximum\nlikelihood under a dispersion exponential family specification.\nEither deterministic and stochastic methods are implemented for\nthe numerical maximization. In particular, the package\nimplements the stochastic gradient descent algorithm with a\nblock-wise mini-batch strategy to speed up the computations and\nan efficient adaptive learning rate schedule to stabilize the\nconvergence. All the theoretical details can be found in\nCastiglione et al. (2024, <doi:10.48550/arXiv.2412.20509>).\nOther methods considered for the optimization are the\nalternated iterative re-weighted least squares and the\nquasi-Newton method with diagonal approximation of the Fisher\ninformation matrix discussed in Kidzinski et al. (2022,\n<http://jmlr.org/papers/v23/20-1104.html>).",
  "License": "MIT + file LICENSE",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "URL": "https://github.com/CristianCastiglione/sgdGMF",
  "BugReports": "https://github.com/CristianCastiglione/sgdGMF/issues",
  "RoxygenNote": "7.2.3",
  "VignetteBuilder": "knitr",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-11-03 13:54:29 UTC",
    "User": "root"
  },
  "Author": "Cristian Castiglione [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-5883-4890>), Davide Risso [ctb]\n(ORCID: <https://orcid.org/0000-0001-8508-5012>), Alexandre\nSegers [ctb] (ORCID: <https://orcid.org/0009-0004-2028-7595>)",
  "Maintainer": "Cristian Castiglione <cristian_castiglione@libero.it>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-05-17 22:34:42 UTC",
  "RemoteUrl": "https://github.com/cran/sgdGMF",
  "RemoteRef": "HEAD",
  "RemoteSha": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
  "_user": "cran",
  "_type": "src",
  "_file": "sgdGMF_1.0.1.tar.gz",
  "_fileid": "https://r2.ropensci.org/a3b2f60f2c6252faa3befc0c60718f328e3d56f6d1a5c90f5904e1b79b3d95fa",
  "_filesize": 1187727,
  "_sha256": "a3b2f60f2c6252faa3befc0c60718f328e3d56f6d1a5c90f5904e1b79b3d95fa",
  "_expires": "2027-02-11T14:02:21.000Z",
  "_created": "2026-11-03T13:54:29.000Z",
  "_published": "2026-11-03T14:02:23.911Z",
  "_upstream": "https://github.com/cran/sgdGMF",
  "_status": "success",
  "_maintainer": {
    "name": "Cristian Castiglione",
    "email": "cristian_castiglione@libero.it",
    "login": "cristiancastiglione",
    "orcid": "0000-0001-5883-4890",
    "description": "PhD in statistics at the University of Padova.\nPostdoc researcher in statistics and data science at the Bocconi University.",
    "uuid": 64646877
  },
  "_jobs": [
    {
      "job": 125961221983,
      "time": 230,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "13236721951"
    },
    {
      "job": 125961222247,
      "time": 228,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "13236877106"
    },
    {
      "job": 125961222063,
      "time": 235,
      "config": "linux-release-arm64",
      "r": "4.6.2",
      "check": "OK",
      "artifact": "13236198481"
    },
    {
      "job": 125961222617,
      "time": 244,
      "config": "linux-release-x86_64",
      "r": "4.6.2",
      "check": "OK",
      "artifact": "13236712192"
    },
    {
      "job": 125957554803,
      "time": 411,
      "config": "source",
      "r": "4.6.2",
      "check": "OK",
      "artifact": "13236975880"
    },
    {
      "job": 125961221916,
      "time": 185,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "13237055968"
    },
    {
      "job": 125961222097,
      "time": 349,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "13237395600"
    },
    {
      "job": 125961222092,
      "time": 315,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "13236617386"
    },
    {
      "job": 125961222126,
      "time": 302,
      "config": "windows-release-arm64",
      "r": "4.6.2",
      "check": "OK",
      "artifact": "13237485004"
    },
    {
      "job": 125961222025,
      "time": 260,
      "config": "windows-release-x86_64",
      "r": "4.6.2",
      "check": "OK",
      "artifact": "13236342653"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/41647716486",
  "_commit": {
    "id": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
    "author": "Cristian Castiglione <cristian_castiglione@libero.it>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.1\n",
    "time": 1747521282
  },
  "_distro": "resolute",
  "_host": "GitHub-Actions",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.0.0",
      "role": "Depends"
    },
    {
      "package": "ggplot2",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "version": ">= 1.0.10",
      "role": "Imports"
    },
    {
      "package": "RcppArmadillo",
      "role": "Imports"
    },
    {
      "package": "RSpectra",
      "role": "Imports"
    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "doParallel",
      "role": "Imports"
    },
    {
      "package": "foreach",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "SuppDists",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "generics",
      "role": "Imports"
    },
    {
      "package": "reshape2",
      "role": "Imports"
    },
    {
      "package": "ggpubr",
      "role": "Imports"
    },
    {
      "package": "viridisLite",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "Rtsne",
      "role": "Suggests"
    },
    {
      "package": "dplyr",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 1,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "cristiancastiglione",
      "count": 2,
      "uuid": 64646877
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 635,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 584,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/sgdGMF"
  },
  "_devurl": "https://github.com/cristiancastiglione/sgdgmf",
  "_searchresults": 223,
  "_topics": [
    "openblas",
    "cpp",
    "openmp"
  ],
  "_abi": {
    "exports": [],
    "imports": [
      {
        "key": "Rcpp::Rcpp_precious_preserve()",
        "hash": "33a97ea62b293da6"
      },
      {
        "key": "Rcpp::Rcpp_precious_remove()",
        "hash": "63d26947ba7e1377"
      },
      {
        "key": "Rcpp::dataptr()",
        "hash": "54e69ad2e6668c83"
      },
      {
        "key": "Rcpp::demangle()",
        "hash": "b0cfd6754c5ebc4e"
      },
      {
        "key": "Rcpp::enterRNGScope()",
        "hash": "a04a299137cef947"
      },
      {
        "key": "Rcpp::exitRNGScope()",
        "hash": "a04a299137cef947"
      },
      {
        "key": "Rcpp::rcpp_get_stack_trace()",
        "hash": "c684a9bbe15cdc52"
      },
      {
        "key": "Rcpp::rcpp_set_stack_trace()",
        "hash": "33a97ea62b293da6"
      }
    ]
  },
  "_rbuild": "4.6.2",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/sgdGMF.html",
    "LICENSE"
  ],
  "_homeurl": "https://github.com/cristiancastiglione/sgdgmf",
  "_realowner": "cristiancastiglione",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0",
      "date": "2025-02-13"
    },
    {
      "version": "1.0.1",
      "date": "2025-05-17"
    }
  ],
  "_exports": [
    "refit",
    "set.control.airwls",
    "set.control.alg",
    "set.control.block.sgd",
    "set.control.coord.sgd",
    "set.control.cv",
    "set.control.init",
    "set.control.newton",
    "sgdgmf.cv",
    "sgdgmf.fit",
    "sgdgmf.init",
    "sgdgmf.rank",
    "sim.gmf.data",
    "simulate"
  ],
  "_help": [
    {
      "page": "biplot.initgmf",
      "title": "Biplot of an initialized GMF model",
      "topics": [
        "biplot.initgmf"
      ]
    },
    {
      "page": "biplot.sgdgmf",
      "title": "Biplot of a GMF model",
      "topics": [
        "biplot.sgdgmf"
      ]
    },
    {
      "page": "coefficients.initgmf",
      "title": "Extract the coefficient of an initialized GMF model",
      "topics": [
        "coef.initgmf",
        "coefficients.initgmf"
      ]
    },
    {
      "page": "coefficients.sgdgmf",
      "title": "Extract the coefficient of a GMF model",
      "topics": [
        "coef.sgdgmf",
        "coefficients.sgdgmf"
      ]
    },
    {
      "page": "deviance.initgmf",
      "title": "Compute deviance, AIC and BIC of an initialized GMF model",
      "topics": [
        "AIC.initgmf",
        "BIC.initgmf",
        "deviance.initgmf"
      ]
    },
    {
      "page": "deviance.sgdgmf",
      "title": "Compute deviance, AIC and BIC of a GMF model",
      "topics": [
        "AIC.sgdgmf",
        "BIC.sgdgmf",
        "deviance.sgdgmf"
      ]
    },
    {
      "page": "fitted.initgmf",
      "title": "Extract the fitted values of an initialized GMF model",
      "topics": [
        "fitted.initgmf"
      ]
    },
    {
      "page": "fitted.sgdgmf",
      "title": "Extract the fitted values of a GMF models",
      "topics": [
        "fitted.sgdgmf"
      ]
    },
    {
      "page": "image.initgmf",
      "title": "Heatmap of an initialized GMF model",
      "topics": [
        "image.initgmf"
      ]
    },
    {
      "page": "image.sgdgmf",
      "title": "Heatmap of a GMF model",
      "topics": [
        "image.sgdgmf"
      ]
    },
    {
      "page": "plot.initgmf",
      "title": "Plot diagnostics for an initialized GMF model",
      "topics": [
        "plot.initgmf"
      ]
    },
    {
      "page": "plot.sgdgmf",
      "title": "Plot diagnostics for a GMF model",
      "topics": [
        "plot.sgdgmf"
      ]
    },
    {
      "page": "predict.sgdgmf",
      "title": "Predict method for GMF models",
      "topics": [
        "predict.sgdgmf"
      ]
    },
    {
      "page": "print.initgmf",
      "title": "Print the fundamental characteristics of an initialized GMF",
      "topics": [
        "print.initgmf"
      ]
    },
    {
      "page": "print.sgdgmf",
      "title": "Print the fundamental characteristics of a GMF",
      "topics": [
        "print.sgdgmf"
      ]
    },
    {
      "page": "refit.sgdgmf",
      "title": "Refine the final estimate of a GMF model",
      "topics": [
        "refit.sgdgmf"
      ]
    },
    {
      "page": "residuals.initgmf",
      "title": "Extract the residuals of an initialized GMF model",
      "topics": [
        "resid.initgmf",
        "residuals.initgmf"
      ]
    },
    {
      "page": "residuals.sgdgmf",
      "title": "Extract the residuals of a GMF model",
      "topics": [
        "resid.sgdgmf",
        "residuals.sgdgmf"
      ]
    },
    {
      "page": "screeplot.initgmf",
      "title": "Screeplot for the residuals of an initialized GMF model",
      "topics": [
        "screeplot.initgmf"
      ]
    },
    {
      "page": "screeplot.sgdgmf",
      "title": "Screeplot for the residuals of a GMF model",
      "topics": [
        "screeplot.sgdgmf"
      ]
    },
    {
      "page": "set.control.airwls",
      "title": "Check and set the control parameters for the AIRWLS algorithm",
      "topics": [
        "set.control.airwls"
      ]
    },
    {
      "page": "set.control.alg",
      "title": "Check and set the control parameters for the select optimization algorithm",
      "topics": [
        "set.control.alg"
      ]
    },
    {
      "page": "set.control.block.sgd",
      "title": "Check and set the control parameters for the blockwise-SGD algorithm",
      "topics": [
        "set.control.block.sgd"
      ]
    },
    {
      "page": "set.control.coord.sgd",
      "title": "Check and set the control parameters for the coordinate-SGD algorithm",
      "topics": [
        "set.control.coord.sgd"
      ]
    },
    {
      "page": "set.control.cv",
      "title": "Check and set the cross-validation parameters",
      "topics": [
        "set.control.cv"
      ]
    },
    {
      "page": "set.control.init",
      "title": "Check and set the initialization parameters for a GMF model",
      "topics": [
        "set.control.init"
      ]
    },
    {
      "page": "set.control.newton",
      "title": "Check and set the control parameters for the Newton algorithm",
      "topics": [
        "set.control.newton"
      ]
    },
    {
      "page": "sgdgmf.cv",
      "title": "Model selection via cross-validation for generalized matrix factorization models",
      "topics": [
        "sgdgmf.cv"
      ]
    },
    {
      "page": "sgdgmf.fit",
      "title": "Factorize a matrix of non-Gaussian observations using GMF",
      "topics": [
        "sgdgmf.fit"
      ]
    },
    {
      "page": "sgdgmf.rank",
      "title": "Rank selection via eigenvalue-gap methods",
      "topics": [
        "sgdgmf.rank"
      ]
    },
    {
      "page": "sim.gmf.data",
      "title": "Simulate non-Gaussian data from a GMF model",
      "topics": [
        "sim.gmf.data"
      ]
    },
    {
      "page": "simulate",
      "title": "Simulate new data",
      "topics": [
        "simulate"
      ]
    },
    {
      "page": "simulate.sgdgmf",
      "title": "Simulate method for GMF models",
      "topics": [
        "simulate.sgdgmf"
      ]
    }
  ],
  "_readme": "https://github.com/cran/sgdGMF/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "backports",
    "boot",
    "broom",
    "car",
    "carData",
    "cli",
    "codetools",
    "colorspace",
    "corrplot",
    "cowplot",
    "cpp11",
    "Deriv",
    "doBy",
    "doParallel",
    "dplyr",
    "farver",
    "foreach",
    "forecast",
    "Formula",
    "fracdiff",
    "generics",
    "ggplot2",
    "ggpubr",
    "ggrepel",
    "ggsci",
    "ggsignif",
    "glue",
    "gridExtra",
    "gtable",
    "isoband",
    "iterators",
    "labeling",
    "lattice",
    "lifecycle",
    "lme4",
    "lmtest",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixModels",
    "mgcv",
    "minqa",
    "modelr",
    "nlme",
    "nloptr",
    "nnet",
    "numDeriv",
    "pbkrtest",
    "pillar",
    "pkgconfig",
    "plyr",
    "polynom",
    "purrr",
    "quantreg",
    "R6",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "Rdpack",
    "reformulas",
    "reshape2",
    "rlang",
    "RSpectra",
    "rstatix",
    "S7",
    "scales",
    "SparseM",
    "stringi",
    "stringr",
    "SuppDists",
    "survival",
    "tibble",
    "tidyr",
    "tidyselect",
    "timeDate",
    "urca",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "zoo"
  ],
  "_sysdeps": [
    {
      "shlib": "liblapack",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.32+ds-5",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libblas",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.32+ds-5",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    },
    {
      "shlib": "libgomp",
      "package": "libgomp1",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "openmp",
      "homepage": "http://gcc.gnu.org/",
      "description": "GCC OpenMP (GOMP) support library"
    }
  ],
  "_vignettes": [
    {
      "source": "algorithms.Rmd",
      "filename": "algorithms.html",
      "title": "Algorithm comparison",
      "author": "Cristian Castiglione",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Workspace setup",
        "Ant traits data",
        "Model specification",
        "Model estimation",
        "Model validation",
        "Observations vs fitted values",
        "Latent scores and low-dimensional representation"
      ],
      "created": "2025-02-13 10:30:06",
      "modified": "2025-02-13 10:30:06",
      "commits": 1
    },
    {
      "source": "initialization.Rmd",
      "filename": "initialization.html",
      "title": "Initialization algorithms",
      "author": "Cristian Castiglione",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Workspace setup",
        "Ant traits data",
        "Model specification"
      ],
      "created": "2025-02-13 10:30:06",
      "modified": "2025-02-13 10:30:06",
      "commits": 1
    },
    {
      "source": "introduction.Rmd",
      "filename": "introduction.html",
      "title": "Introduction to the sgdGMF package",
      "author": "Cristian Castiglione",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Workspace setup",
        "Ant traits data",
        "Model specification",
        "Model estimation",
        "Model validation",
        "Observations vs fitted values",
        "Latent scores and low-dimensional representation"
      ],
      "created": "2025-02-13 10:30:06",
      "modified": "2025-02-13 10:30:06",
      "commits": 1
    },
    {
      "source": "residuals.Rmd",
      "filename": "residuals.html",
      "title": "Analysis of the residuals",
      "author": "Cristian Castiglione",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Workspace setup",
        "Ant traits data",
        "Model specification",
        "Model estimation",
        "Model validation",
        "Observations vs fitted values"
      ],
      "created": "2025-02-13 10:30:06",
      "modified": "2025-02-13 10:30:06",
      "commits": 1
    }
  ],
  "_score": 5.1264561134318045,
  "_indexed": false,
  "_nocasepkg": "sgdgmf",
  "_universes": [
    "cran"
  ],
  "_indexurl": "https://cristiancastiglione.r-universe.dev/sgdGMF",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.1",
      "date": "2026-11-03T13:58:17.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
      "fileid": "https://r2.ropensci.org/2e9c9cef3c654b5f14e2ec6b72c69a1bc33df6e48a51282a1becc884fcdf740c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41647716486"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.1",
      "date": "2026-11-03T13:58:12.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
      "fileid": "https://r2.ropensci.org/e35df6cc397ea03de14a5b0376441ddff78183a35fc0781e41593c987f2c6ffd",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41647716486"
    },
    {
      "r": "4.6.2",
      "os": "linux",
      "version": "1.0.1",
      "date": "2026-11-03T13:58:23.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
      "fileid": "https://r2.ropensci.org/fbb374ec0fd9755a9e4ccba92580f039eb9bd191545ddc08350b1adae19c5db0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41647716486"
    },
    {
      "r": "4.6.2",
      "os": "linux",
      "version": "1.0.1",
      "date": "2026-11-03T13:58:05.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
      "fileid": "https://r2.ropensci.org/6ea62607fd4eb51177f591c274f8ce82b874ed5448d79715cea71a2588ca9d03",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41647716486"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.1",
      "date": "2026-11-03T13:58:08.000Z",
      "arch": "emscripten",
      "commit": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
      "fileid": "https://r2.ropensci.org/614862875917cd3c4f33d9999584753a45cf7f179563de69e408f4f873e4dd20",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41647716486"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.1",
      "date": "2026-11-03T13:59:23.000Z",
      "arch": "aarch64",
      "commit": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
      "fileid": "https://r2.ropensci.org/3c1972c418fc93af648fc6cff4ecad7d1ea49fad52ab6d419a86bf370245f7ed",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41647716486"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.1",
      "date": "2026-11-03T13:57:13.000Z",
      "arch": "x86_64",
      "commit": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
      "fileid": "https://r2.ropensci.org/e13f2826bd134f11ff83eb66b8b17d8ef19e19b4e765b3995a92fa865c34a613",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41647716486"
    },
    {
      "r": "4.6.2",
      "os": "win",
      "version": "1.0.1",
      "date": "2026-11-03T13:58:47.000Z",
      "arch": "aarch64",
      "commit": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
      "fileid": "https://r2.ropensci.org/64c7edbbcf39ca3624432225d3cb1b6947c003a4b995923f4ace82e0b01582ca",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41647716486"
    },
    {
      "r": "4.6.2",
      "os": "win",
      "version": "1.0.1",
      "date": "2026-11-03T13:57:15.000Z",
      "arch": "x86_64",
      "commit": "bfd8c63e921d25d706a63dfe3919341d76df1acb",
      "fileid": "https://r2.ropensci.org/b8b7e6c0e2f05e5952b674ea08738539d4030b785a8a43ce404254a809602391",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41647716486"
    }
  ]
}