{
  "_id": "6aebdcfe1e2c7b3a4f5355a2",
  "Package": "DDAWASS",
  "Type": "Package",
  "Title": "Discrete Distribution Data Analysis with Wasserstein Distance",
  "Version": "1.0.0",
  "Date": "2026-10-21",
  "Authors@R": "person(given = \"Antonio\", family = \"Irpino\", role = c(\"aut\", \"cre\", \"cph\"),\nemail = \"antonio.irpino@unicampania.it\",\ncomment = c(ORCID = \"0000-0001-9293-7180\"))",
  "Description": "S4 classes and methods for the analysis of data described\nby discrete distributions with finite support (e.g. frequency\ndistributions of ratings, scores or counts observed on groups\nof individuals), using the L2 Wasserstein metric between\nquantile functions. It is the discrete counterpart of\n'HistDAWass' and provides exact Wasserstein distances (in C++),\nbarycenters, Wasserstein variance, covariance and correlation,\nk-means and hierarchical clustering, quantile-based principal\ncomponent and multiple factor analysis, two-component linear\nregression and reliability (Cronbach's alpha) indices. See\nCrocetta, Irpino, Antonucci and Marin (2025)\n<doi:10.1007/s11135-024-01956-0>.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "RoxygenNote": "7.3.1",
  "URL": "https://github.com/Airpino/DDAWASS",
  "BugReports": "https://github.com/Airpino/DDAWASS/issues",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-11-05 01:27:57 UTC",
    "User": "root"
  },
  "Author": "Antonio Irpino [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0001-9293-7180>)",
  "Maintainer": "Antonio Irpino <antonio.irpino@unicampania.it>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-11-04 21:00:02 UTC",
  "RemoteUrl": "https://github.com/cran/DDAWASS",
  "RemoteRef": "HEAD",
  "RemoteSha": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
  "_user": "cran",
  "_type": "src",
  "_file": "DDAWASS_1.0.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/d7889aed5a0dfc474fe719382bc251f0edbf9484af3d2a46054af65a9367c2b4",
  "_filesize": 1361249,
  "_sha256": "d7889aed5a0dfc474fe719382bc251f0edbf9484af3d2a46054af65a9367c2b4",
  "_expires": "2027-02-13T01:33:48.000Z",
  "_created": "2026-11-05T01:27:57.000Z",
  "_published": "2026-11-05T01:33:50.036Z",
  "_upstream": "https://github.com/cran/DDAWASS",
  "_status": "success",
  "_maintainer": {
    "name": "Antonio Irpino",
    "email": "antonio.irpino@unicampania.it",
    "login": "airpino",
    "description": "Researcher and professor in Statistics",
    "uuid": 6860334,
    "orcid": "0000-0001-9293-7180"
  },
  "_jobs": [
    {
      "job": 126987414159,
      "time": 143,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "13379494013"
    },
    {
      "job": 126987414088,
      "time": 190,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "13380056820"
    },
    {
      "job": 126987414071,
      "time": 141,
      "config": "linux-release-arm64",
      "r": "4.6.2",
      "check": "OK",
      "artifact": "13379358020"
    },
    {
      "job": 126987414047,
      "time": 181,
      "config": "linux-release-x86_64",
      "r": "4.6.2",
      "check": "OK",
      "artifact": "13379922700"
    },
    {
      "job": 126985813407,
      "time": 258,
      "config": "source",
      "r": "4.6.2",
      "check": "OK",
      "artifact": "13380091755"
    },
    {
      "job": 126987414035,
      "time": 139,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "13380545111"
    },
    {
      "job": 126987414095,
      "time": 246,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "13379589219"
    },
    {
      "job": 126987414044,
      "time": 187,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "13379344461"
    },
    {
      "job": 126987414102,
      "time": 295,
      "config": "windows-release-arm64",
      "r": "4.6.2",
      "check": "OK",
      "artifact": "13380545572"
    },
    {
      "job": 126987414122,
      "time": 146,
      "config": "windows-release-x86_64",
      "r": "4.6.2",
      "check": "OK",
      "artifact": "13379324494"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/41948240267",
  "_commit": {
    "id": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
    "author": "Antonio Irpino <antonio.irpino@unicampania.it>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.0\n",
    "time": 1793826002
  },
  "_distro": "resolute",
  "_host": "GitHub-Actions",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.0.0",
      "role": "Depends"
    },
    {
      "package": "methods",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "HistDAWass",
      "role": "Imports"
    },
    {
      "package": "FactoMineR",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "CUB",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-45",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "1.0.0",
      "date": "2026-11-04"
    }
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "airpino",
      "count": 1,
      "uuid": 6860334
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 635,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 0,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/DDAWASS"
  },
  "_devurl": "https://github.com/airpino/ddawass",
  "_searchresults": 11,
  "_topics": [
    "cpp"
  ],
  "_abi": {
    "exports": [
      {
        "key": "DDAWASS::MatD",
        "hash": "0ef34a27ea4a8780"
      },
      {
        "key": "DDAWASS::distributionD",
        "hash": "92a6ffe37c1171ce"
      },
      {
        "key": "DDAWASS::generic:WassSqDistD",
        "hash": "4ef31560381bbb67"
      },
      {
        "key": "DDAWASS::generic:kurtD",
        "hash": "4919c5efe09a7a55"
      },
      {
        "key": "DDAWASS::generic:meanD",
        "hash": "12ccb31036bfbee0"
      },
      {
        "key": "DDAWASS::generic:skewD",
        "hash": "e8a3177c2291f58a"
      },
      {
        "key": "DDAWASS::generic:stdD",
        "hash": "61b23331da1f1f25"
      },
      {
        "key": "DDAWASS::generic:varD",
        "hash": "a4472810743293d5"
      }
    ],
    "imports": [
      {
        "key": "HistDAWass::generic:compP",
        "hash": "4dcd6e124c361184"
      },
      {
        "key": "HistDAWass::generic:compQ",
        "hash": "4f6290158572b700"
      },
      {
        "key": "HistDAWass::generic:rQQ",
        "hash": "2439112db432e7b0"
      },
      {
        "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/DDAWASS.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_cranurl": false,
  "_exports": [
    "compP",
    "compQ",
    "data2MatD",
    "distributionD",
    "dotpD",
    "get.cell.MatD",
    "get.MatD.ncols",
    "get.MatD.nrows",
    "get.MatD.rownames",
    "get.MatD.stats",
    "get.MatD.varnames",
    "kurtD",
    "long2MatD",
    "MatD",
    "MatD2long",
    "MatD2tibble",
    "MatH2MatD",
    "meanD",
    "plot",
    "rQQ",
    "set.cell.MatD",
    "simplifyD",
    "skewD",
    "stdD",
    "tibble2MatD",
    "varD",
    "WassSqDistD",
    "WD_hclust",
    "WD_kmeans",
    "WD_MAT_DIST",
    "WD.1d.PCA",
    "WD.bind.col",
    "WD.bind.row",
    "WD.correlation",
    "WD.cronbach",
    "WD.MultiplePCA",
    "WD.plot.Spanish.fan",
    "WD.quantile.matrix",
    "WD.regression.GOF",
    "WD.regression.two.components",
    "WD.regression.two.components.predict",
    "WD.SSQ",
    "WD.var.covar",
    "WD.vec.mean",
    "WD.vec.mean.simplified"
  ],
  "_datasets": [
    {
      "name": "Satisfaction",
      "title": "Simulated hotel satisfaction survey",
      "object": "Satisfaction",
      "class": [
        "MatD"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "Satisfaction_raw",
      "title": "Simulated hotel satisfaction survey",
      "object": "Satisfaction_raw",
      "class": [
        "data.frame"
      ],
      "fields": [
        "hotel",
        "Staff",
        "Cleanliness",
        "Comfort",
        "Location",
        "Price",
        "Food",
        "WiFi",
        "Overall"
      ],
      "rows": 4160,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "sub-MatD-ANY-ANY-ANY-method",
      "title": "Extract a sub-matrix of a MatD",
      "topics": [
        "[,MatD,ANY,ANY,ANY-method"
      ]
    },
    {
      "page": "Arith-distributionD",
      "title": "Arithmetic on discrete distributions",
      "topics": [
        "*,distributionD,numeric-method",
        "*,numeric,distributionD-method",
        "+,distributionD,distributionD-method",
        "+,distributionD,numeric-method",
        "+,numeric,distributionD-method",
        "-,distributionD,numeric-method",
        "Arith-distributionD"
      ]
    },
    {
      "page": "compQ-distributionD",
      "title": "Quantiles and cdf of a discrete distribution",
      "topics": [
        "compP,distributionD,ANY-method",
        "compP,distributionD-method",
        "compQ,distributionD,ANY-method",
        "compQ,distributionD-method",
        "compQ-distributionD"
      ]
    },
    {
      "page": "data2MatD",
      "title": "Build a MatD from raw (micro) data",
      "topics": [
        "data2MatD"
      ]
    },
    {
      "page": "distributionD",
      "title": "Constructor of a discrete distribution",
      "topics": [
        "distributionD"
      ]
    },
    {
      "page": "distributionD-class",
      "title": "Class distributionD",
      "topics": [
        "distributionD-class"
      ]
    },
    {
      "page": "dotpD",
      "title": "Inner product of quantile functions",
      "topics": [
        "dotpD"
      ]
    },
    {
      "page": "get.MatD.stats",
      "title": "Statistics of the distributions in a MatD",
      "topics": [
        "get.MatD.stats"
      ]
    },
    {
      "page": "long2MatD",
      "title": "Build a MatD from a long frequency table",
      "topics": [
        "long2MatD"
      ]
    },
    {
      "page": "MatD",
      "title": "Constructor of a matrix of discrete distributions",
      "topics": [
        "MatD"
      ]
    },
    {
      "page": "MatD-accessors",
      "title": "Accessors of a MatD object",
      "topics": [
        "get.cell.MatD",
        "get.MatD.ncols",
        "get.MatD.nrows",
        "get.MatD.rownames",
        "get.MatD.varnames",
        "MatD-accessors",
        "set.cell.MatD"
      ]
    },
    {
      "page": "MatD-class",
      "title": "Class MatD",
      "topics": [
        "MatD-class"
      ]
    },
    {
      "page": "MatD2long",
      "title": "Convert a MatD into a long data.frame",
      "topics": [
        "MatD2long"
      ]
    },
    {
      "page": "MatH2MatD",
      "title": "Discretize a matrix of histograms (MatH) into a MatD",
      "topics": [
        "MatH2MatD"
      ]
    },
    {
      "page": "plot-distributionD-method",
      "title": "Plot a discrete distribution",
      "topics": [
        "plot,distributionD-method"
      ]
    },
    {
      "page": "plot-MatD-method",
      "title": "Plot a MatD",
      "topics": [
        "plot,MatD-method"
      ]
    },
    {
      "page": "rQQ-distributionD",
      "title": "Quantile-quantile correlation of two discrete distributions",
      "topics": [
        "rQQ,distributionD,distributionD-method",
        "rQQ-distributionD"
      ]
    },
    {
      "page": "Satisfaction",
      "title": "Simulated hotel satisfaction survey",
      "topics": [
        "Satisfaction",
        "Satisfaction_raw"
      ]
    },
    {
      "page": "simplifyD",
      "title": "Project discrete distributions on a fixed support",
      "topics": [
        "simplifyD"
      ]
    },
    {
      "page": "statsD",
      "title": "Basic statistics of a discrete distribution",
      "topics": [
        "kurtD",
        "kurtD,distributionD-method",
        "meanD",
        "meanD,distributionD-method",
        "skewD",
        "skewD,distributionD-method",
        "statsD",
        "stdD",
        "stdD,distributionD-method",
        "varD",
        "varD,distributionD-method"
      ]
    },
    {
      "page": "tibble2MatD",
      "title": "Convert legacy nested tibbles into a MatD (and back)",
      "topics": [
        "MatD2tibble",
        "tibble2MatD"
      ]
    },
    {
      "page": "WassSqDistD",
      "title": "L2 Wasserstein distance between discrete distributions",
      "topics": [
        "WassSqDistD",
        "WassSqDistD,distributionD,distributionD-method"
      ]
    },
    {
      "page": "WD_hclust",
      "title": "Hierarchical clustering of discrete distributional data",
      "topics": [
        "WD_hclust"
      ]
    },
    {
      "page": "WD_kmeans",
      "title": "K-means clustering of discrete distributional data",
      "topics": [
        "WD_kmeans"
      ]
    },
    {
      "page": "WD_MAT_DIST",
      "title": "Matrix of L2 Wasserstein distances between the rows of a MatD",
      "topics": [
        "WD_MAT_DIST"
      ]
    },
    {
      "page": "WD.1d.PCA",
      "title": "Principal component analysis of a single discrete distributional variable",
      "topics": [
        "WD.1d.PCA"
      ]
    },
    {
      "page": "WD.bind",
      "title": "Bind MatD objects by rows or by columns",
      "topics": [
        "WD.bind",
        "WD.bind.col",
        "WD.bind.row"
      ]
    },
    {
      "page": "WD.cronbach",
      "title": "Cronbach's alpha for discrete distributional variables",
      "topics": [
        "WD.cronbach"
      ]
    },
    {
      "page": "WD.MultiplePCA",
      "title": "Multiple factor analysis of discrete distributional variables",
      "topics": [
        "WD.MultiplePCA"
      ]
    },
    {
      "page": "WD.plot.Spanish.fan",
      "title": "Spanish-fan plot of a quantile PCA",
      "topics": [
        "WD.plot.Spanish.fan"
      ]
    },
    {
      "page": "WD.quantile.matrix",
      "title": "Matrix of quantiles of a MatD",
      "topics": [
        "WD.quantile.matrix"
      ]
    },
    {
      "page": "WD.regression.GOF",
      "title": "Goodness of fit indices for distributional regression",
      "topics": [
        "WD.regression.GOF"
      ]
    },
    {
      "page": "WD.regression.two.components",
      "title": "Two-component regression of discrete distributional variables",
      "topics": [
        "WD.regression.two.components"
      ]
    },
    {
      "page": "WD.regression.two.components.predict",
      "title": "Predictions of the two-component regression",
      "topics": [
        "WD.regression.two.components.predict"
      ]
    },
    {
      "page": "WD.SSQ",
      "title": "Total sum of squares of a discrete distributional variable",
      "topics": [
        "WD.SSQ"
      ]
    },
    {
      "page": "WD.var.covar",
      "title": "Wasserstein variance-covariance and correlation matrices",
      "topics": [
        "WD.correlation",
        "WD.var.covar"
      ]
    },
    {
      "page": "WD.vec.mean",
      "title": "Barycenter (Frechet mean) of discrete distributional variables",
      "topics": [
        "WD.vec.mean"
      ]
    },
    {
      "page": "WD.vec.mean.simplified",
      "title": "Barycenter expressed on the original support values",
      "topics": [
        "WD.vec.mean.simplified"
      ]
    }
  ],
  "_readme": "https://github.com/cran/DDAWASS/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "backports",
    "base64enc",
    "boot",
    "broom",
    "bslib",
    "cachem",
    "car",
    "carData",
    "class",
    "cli",
    "cluster",
    "colorspace",
    "cowplot",
    "cpp11",
    "crosstalk",
    "Deriv",
    "digest",
    "doBy",
    "dplyr",
    "DT",
    "ellipse",
    "emmeans",
    "estimability",
    "evaluate",
    "FactoMineR",
    "farver",
    "fastmap",
    "flashClust",
    "fontawesome",
    "forecast",
    "Formula",
    "fracdiff",
    "fs",
    "generics",
    "ggplot2",
    "ggrepel",
    "ggridges",
    "glue",
    "gtable",
    "highr",
    "HistDAWass",
    "histogram",
    "htmltools",
    "htmlwidgets",
    "irlba",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "later",
    "lattice",
    "lazyeval",
    "leaps",
    "lifecycle",
    "lme4",
    "lmtest",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixModels",
    "memoise",
    "mgcv",
    "mime",
    "minqa",
    "modelr",
    "multcompView",
    "mvtnorm",
    "nlme",
    "nloptr",
    "nnet",
    "numDeriv",
    "otel",
    "pbkrtest",
    "pillar",
    "pkgconfig",
    "promises",
    "purrr",
    "quantreg",
    "R6",
    "rappdirs",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "Rdpack",
    "reformulas",
    "rlang",
    "rmarkdown",
    "S7",
    "sass",
    "scales",
    "scatterplot3d",
    "showtext",
    "showtextdb",
    "SparseM",
    "stringi",
    "stringr",
    "survival",
    "sysfonts",
    "tibble",
    "tidyr",
    "tidyselect",
    "timeDate",
    "tinytex",
    "urca",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "yaml",
    "zoo"
  ],
  "_sysdeps": [
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "a-building-data.Rmd",
      "filename": "a-building-data.html",
      "title": "Building discrete distributional data ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The data: evaluation of the orientation services",
        "From microdata to a MatD",
        "Inspecting the data",
        "Other ways of building the data",
        "Next steps",
        "References"
      ],
      "created": "2026-11-04 21:00:02",
      "modified": "2026-11-04 21:00:02",
      "commits": 1
    },
    {
      "source": "b-basic-statistics.Rmd",
      "filename": "b-basic-statistics.html",
      "title": "Basic statistics of discrete distributional data ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "1. Statistics of a single distribution",
        "2. Statistics of all the cells",
        "3. The Wasserstein barycenter",
        "A barycenter on the original categories",
        "Barycenter versus pooled distribution",
        "4. Wasserstein variance and its decomposition",
        "5. Covariance, correlation and reliability",
        "References"
      ],
      "created": "2026-11-04 21:00:02",
      "modified": "2026-11-04 21:00:02",
      "commits": 1
    },
    {
      "source": "c-clustering.Rmd",
      "filename": "c-clustering.html",
      "title": "Clustering discrete distributional data ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Distances between groups",
        "Hierarchical clustering",
        "K-means (dynamic clustering)",
        "Describing the clusters",
        "Standardized clustering",
        "References"
      ],
      "created": "2026-11-04 21:00:02",
      "modified": "2026-11-04 21:00:02",
      "commits": 1
    },
    {
      "source": "d-regression.Rmd",
      "filename": "d-regression.html",
      "title": "Linear regression for discrete distributional data ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The two-component model",
        "Estimation",
        "Predictions and goodness of fit",
        "Bootstrap confidence intervals",
        "References"
      ],
      "created": "2026-11-04 21:00:02",
      "modified": "2026-11-04 21:00:02",
      "commits": 1
    },
    {
      "source": "d-pca.Rmd",
      "filename": "d-pca.html",
      "title": "Principal component analysis of discrete distributional data ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The matrix of quantiles",
        "PCA of one distributional variable",
        "Multiple factor analysis of several items",
        "References"
      ],
      "created": "2026-11-04 21:00:02",
      "modified": "2026-11-04 21:00:02",
      "commits": 1
    },
    {
      "source": "e-regression.Rmd",
      "filename": "e-regression.html",
      "title": "Linear regression for discrete distributional data ",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The two-component model",
        "Estimation",
        "Predictions and goodness of fit",
        "Bootstrap confidence intervals",
        "References"
      ],
      "created": "2026-11-04 21:00:02",
      "modified": "2026-11-04 21:00:02",
      "commits": 1
    }
  ],
  "_score": 3.5185139398778875,
  "_indexed": true,
  "_nocasepkg": "ddawass",
  "_universes": [
    "cran",
    "airpino"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-11-05T01:30:07.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
      "fileid": "https://r2.ropensci.org/5a0e8b405d47bb8c68c6aa27fcad3ec55f027322d79c65c3f603c93fd7a54646",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41948240267"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-11-05T01:30:32.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
      "fileid": "https://r2.ropensci.org/f2a68cf82f97881699269aa49ced844930559eabb899d9c57e37e7b817f2aea8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41948240267"
    },
    {
      "r": "4.6.2",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-11-05T01:30:05.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
      "fileid": "https://r2.ropensci.org/3fc68e2aeef4c5ad1cb2806368c78d80a36399b5d5cdcb42374fec6a5db3451b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41948240267"
    },
    {
      "r": "4.6.2",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-11-05T01:30:27.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
      "fileid": "https://r2.ropensci.org/a6540fe36abcd17516110f597a7c0e1910c4b79bb432cc75ffb559ce4956df20",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41948240267"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.0",
      "date": "2026-11-05T01:30:43.000Z",
      "arch": "emscripten",
      "commit": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
      "fileid": "https://r2.ropensci.org/9e0a74d410c93ac8d57bf42a191066158845500e60fcd8fb2a8963b0bfb66ba5",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41948240267"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-11-05T01:31:20.000Z",
      "arch": "aarch64",
      "commit": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
      "fileid": "https://r2.ropensci.org/27dbcb92adfc630e837e43be5be0aa9c9cec2978dbbb79a334f7f515cbf81fdb",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41948240267"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-11-05T01:29:31.000Z",
      "arch": "x86_64",
      "commit": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
      "fileid": "https://r2.ropensci.org/89199df0c11e3e8105ba874cccbc2958f2701aa8d23f7b9524f7ee3cf547b685",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41948240267"
    },
    {
      "r": "4.6.2",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-11-05T01:32:12.000Z",
      "arch": "aarch64",
      "commit": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
      "fileid": "https://r2.ropensci.org/6613a7964a9da79f274e18de9b08518532327bab7422b99e8347350b6455d5b2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41948240267"
    },
    {
      "r": "4.6.2",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-11-05T01:29:34.000Z",
      "arch": "x86_64",
      "commit": "ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee",
      "fileid": "https://r2.ropensci.org/263639b137631f662325197d3e1a308c3fb3e56ba15b33d48283ef4194c65bcf",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/41948240267"
    }
  ]
}