{
  "_id": "6a212a21cd65a98ecbd227d2",
  "Package": "lmap",
  "Type": "Package",
  "Title": "Logistic Mapping",
  "Version": "0.2.4",
  "Authors@R": "c(person(given = \"Mark\", family = \"de Rooij\", role = c(\"aut\", \"cre\",\"cph\"), email\n= \"rooijm@fsw.leidenuniv.nl\"), person(given = \"Frank\", family = \"Busing\", role = c(\"aut\",\"cph\"),\nemail = \"busing@fsw.leidenuniv.nl\"), person(given = \"Juan\", family = \"Claramunt Gonzalez\",\nrole = c(\"aut\"), email = \"j.claramunt.gonzalez@fsw.leidenuniv.nl\"))",
  "Maintainer": "Mark de Rooij <rooijm@fsw.leidenuniv.nl>",
  "Description": "Set of tools for mapping of categorical response variables\nbased on principal component analysis (pca) and\nmultidimensional unfolding (mdu).",
  "License": "BSD_2_clause + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "TRUE",
  "Author": "Mark de Rooij [aut, cre, cph], Frank Busing [aut, cph], Juan\nClaramunt Gonzalez [aut]",
  "NeedsCompilation": "yes",
  "RoxygenNote": "7.3.2",
  "Packaged": {
    "Date": "2026-06-04 07:18:57 UTC",
    "User": "root"
  },
  "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev make\nlibicu-dev libuv1-dev libx11-dev zlib1g-dev",
  "Repository": "https://mjderooij.r-universe.dev",
  "Date/Publication": "2025-01-24 10:20:02 UTC",
  "RemoteUrl": "https://github.com/cran/lmap",
  "RemoteRef": "HEAD",
  "RemoteSha": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
  "MD5sum": "8d32cdf173cc9590ba3d4a3041ea977e",
  "_user": "mjderooij",
  "_type": "src",
  "_file": "lmap_0.2.4.tar.gz",
  "_fileid": "0cf04c33c00b4d79a314d3339cb1cb00b80d204bc178ac34de8d5bf0c439dd16",
  "_filesize": 758273,
  "_sha256": "0cf04c33c00b4d79a314d3339cb1cb00b80d204bc178ac34de8d5bf0c439dd16",
  "_created": "2026-06-04T07:18:57.000Z",
  "_published": "2026-06-04T07:32:49.035Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79469218637,
      "time": 195,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7405394739"
    },
    {
      "job": 79469218640,
      "time": 207,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7405397354"
    },
    {
      "job": 79469218639,
      "time": 214,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7405400283"
    },
    {
      "job": 79469218704,
      "time": 212,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7405399044"
    },
    {
      "job": 79469218686,
      "time": 175,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7405401999"
    },
    {
      "job": 79469218611,
      "time": 418,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7405446181"
    },
    {
      "job": 79469218645,
      "time": 164,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7405385361"
    },
    {
      "job": 79469218687,
      "time": 304,
      "config": "macos-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7405560735"
    },
    {
      "job": 79468668382,
      "time": 241,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7405341941"
    },
    {
      "job": 79469218602,
      "time": 150,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7405381659"
    },
    {
      "job": 79469218614,
      "time": 166,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7405387003"
    },
    {
      "job": 79469218595,
      "time": 148,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7405381307"
    },
    {
      "job": 79469218659,
      "time": 166,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7405386512"
    }
  ],
  "_buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/lmap",
  "_commit": {
    "id": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
    "author": "Mark de Rooij <rooijm@fsw.leidenuniv.nl>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.2.4\n",
    "time": 1737714002
  },
  "_maintainer": {
    "name": "Mark de Rooij",
    "email": "rooijm@fsw.leidenuniv.nl",
    "login": "mjderooij",
    "description": "I am a professor of AI and Data Theory at Leiden University, The Netherlands.",
    "uuid": 22610589
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "ggplot2",
      "role": "Depends"
    },
    {
      "package": "ggrepel",
      "role": "Depends"
    },
    {
      "package": "ggforce",
      "role": "Depends"
    },
    {
      "package": "fmdu",
      "role": "Depends"
    },
    {
      "package": "nnet",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "Rfast",
      "role": "Imports"
    },
    {
      "package": "ggpubr",
      "role": "Imports"
    },
    {
      "package": "haven",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "mjderooij",
      "count": 4,
      "uuid": 22610589
    }
  ],
  "_userbio": {
    "uuid": 22610589,
    "type": "user",
    "name": "Mark de Rooij",
    "description": "I am a professor of AI and Data Theory at Leiden University, The Netherlands."
  },
  "_downloads": {
    "count": 181,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/lmap"
  },
  "_searchresults": 3,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/lmap.html",
    "manual.pdf"
  ],
  "_realowner": "mjderooij",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.1",
      "date": "2022-09-14"
    },
    {
      "version": "0.1.2",
      "date": "2024-03-08"
    },
    {
      "version": "0.1.3",
      "date": "2024-12-11"
    },
    {
      "version": "0.2.4",
      "date": "2025-01-24"
    }
  ],
  "_exports": [
    "bootstrap.clmdu",
    "bootstrap.clpca",
    "bootstrap.lmdu",
    "bootstrap.lpca",
    "bootstrap.mcd",
    "bootstrap.mrrr",
    "bootstrap.mru",
    "clmdu",
    "clpca",
    "fastmbu",
    "fastmru",
    "lmdu",
    "lpca",
    "make.df.for.varlabels",
    "make.dfs.for.X",
    "mcd1",
    "mcd2",
    "mlr",
    "mrrr",
    "mru",
    "oos.comparison",
    "procrustes1",
    "procx",
    "read_drugdata",
    "read_isspdata_peb",
    "theme_lmda",
    "trioscale",
    "twomodedistance"
  ],
  "_datasets": [
    {
      "name": "dataExample_clmdu",
      "title": "Dummy data for clmdu example",
      "object": "dataExample_clmdu",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "Y1",
        "Y2",
        "Y3",
        "Y4",
        "Y5"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataExample_clpca",
      "title": "Dummy data for clpca example",
      "object": "dataExample_clpca",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "Y1",
        "Y2",
        "Y3",
        "Y4"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataExample_lmdu",
      "title": "Dummy data for lmdu example",
      "object": "dataExample_lmdu",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Y1",
        "Y2",
        "Y3",
        "Y4",
        "Y5",
        "Y6",
        "Y7",
        "Y8",
        "X1",
        "X2",
        "X3",
        "X4",
        "X5"
      ],
      "rows": 234,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataExample_lpca",
      "title": "Dummy data for lpca example",
      "object": "dataExample_lpca",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Y1",
        "Y2",
        "Y3",
        "Y4",
        "Y5",
        "Y6",
        "Y7",
        "Y8",
        "X1",
        "X2",
        "X3",
        "X4",
        "X5"
      ],
      "rows": 234,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataExample_mru",
      "title": "Dummy data for mru example",
      "object": "dataExample_mru",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "X1",
        "X2",
        "X3",
        "X4",
        "X5"
      ],
      "rows": 234,
      "table": true,
      "tojson": true
    },
    {
      "name": "diabetes",
      "title": "Diabetes data",
      "object": "diabetes",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "dpes",
      "title": "Dutch Parliamentary Election Study",
      "object": "dpes",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "kieskompas",
      "title": "Kieskompas data",
      "object": "kieskompas",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "liver",
      "title": "Liver",
      "object": "liver",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "nesda",
      "title": "Netherlands Study for Depression and Anxiety",
      "object": "nesda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bootstrap.clmdu",
      "title": "Bootstrap procedure for Cumulative Logistic (Restricted) MDU",
      "topics": [
        "bootstrap.clmdu"
      ]
    },
    {
      "page": "bootstrap.clpca",
      "title": "Bootstrap procedure for Cumulative Logistic (Restricted) PCA",
      "topics": [
        "bootstrap.clpca"
      ]
    },
    {
      "page": "bootstrap.lmdu",
      "title": "Bootstrap procedure for Logistic (Restricted) MDU",
      "topics": [
        "bootstrap.lmdu"
      ]
    },
    {
      "page": "bootstrap.lpca",
      "title": "Bootstrap procedure for Logistic (Restricted) PCA",
      "topics": [
        "bootstrap.lpca"
      ]
    },
    {
      "page": "bootstrap.mcd",
      "title": "Bootstrap procedure for Multonimal Canonical Decomposition Model",
      "topics": [
        "bootstrap.mcd"
      ]
    },
    {
      "page": "bootstrap.mrrr",
      "title": "Bootstrap procedure for Multinomial Reduced Rank Model",
      "topics": [
        "bootstrap.mrrr"
      ]
    },
    {
      "page": "bootstrap.mru",
      "title": "Bootstrap procedure for Multinomial Restricted Unfolding",
      "topics": [
        "bootstrap.mru"
      ]
    },
    {
      "page": "clmdu",
      "title": "Cumulative Logistic (Restricted) MDU",
      "topics": [
        "clmdu"
      ]
    },
    {
      "page": "clpca",
      "title": "Cumulative Logistic (Restricted) PCA",
      "topics": [
        "clpca"
      ]
    },
    {
      "page": "dataExample_clmdu",
      "title": "Dummy data for clmdu example",
      "topics": [
        "dataExample_clmdu"
      ]
    },
    {
      "page": "dataExample_clpca",
      "title": "Dummy data for clpca example",
      "topics": [
        "dataExample_clpca"
      ]
    },
    {
      "page": "dataExample_lmdu",
      "title": "Dummy data for lmdu example",
      "topics": [
        "dataExample_lmdu"
      ]
    },
    {
      "page": "dataExample_lpca",
      "title": "Dummy data for lpca example",
      "topics": [
        "dataExample_lpca"
      ]
    },
    {
      "page": "dataExample_mru",
      "title": "Dummy data for mru example",
      "topics": [
        "dataExample_mru"
      ]
    },
    {
      "page": "diabetes",
      "title": "Diabetes data",
      "topics": [
        "diabetes"
      ]
    },
    {
      "page": "dpes",
      "title": "Dutch Parliamentary Election Study",
      "topics": [
        "dpes"
      ]
    },
    {
      "page": "fastmbu",
      "title": "Fast version of mbu. It runs mbu without input checks.",
      "topics": [
        "fastmbu"
      ]
    },
    {
      "page": "fastmru",
      "title": "Fast version of mru. It runs mru without input checks.",
      "topics": [
        "fastmru"
      ]
    },
    {
      "page": "kieskompas",
      "title": "Kieskompas data",
      "topics": [
        "kieskompas"
      ]
    },
    {
      "page": "liver",
      "title": "Liver",
      "topics": [
        "liver"
      ]
    },
    {
      "page": "lmdu",
      "title": "Logistic (Restricted) MDU",
      "topics": [
        "lmdu"
      ]
    },
    {
      "page": "lpca",
      "title": "Logistic (Restricted) PCA",
      "topics": [
        "lpca"
      ]
    },
    {
      "page": "make.df.for.varlabels",
      "title": "Helper function for the plot functions",
      "topics": [
        "make.df.for.varlabels"
      ]
    },
    {
      "page": "make.dfs.for.X",
      "title": "Helper function for the plot functions",
      "topics": [
        "make.dfs.for.X"
      ]
    },
    {
      "page": "mcd1",
      "title": "Multinomial Canonical Decomposition Model for Multivariate Binary Data",
      "topics": [
        "mcd1"
      ]
    },
    {
      "page": "mcd2",
      "title": "Multinomial Canonical Decomposition Model for a multinomial outcome",
      "topics": [
        "mcd2"
      ]
    },
    {
      "page": "mlr",
      "title": "Multinomial Logistic Regression",
      "topics": [
        "mlr"
      ]
    },
    {
      "page": "mrrr",
      "title": "Multinomial Reduced Rank Regression",
      "topics": [
        "mrrr"
      ]
    },
    {
      "page": "mru",
      "title": "Multinomial Restricted MDU",
      "topics": [
        "mru"
      ]
    },
    {
      "page": "nesda",
      "title": "Netherlands Study for Depression and Anxiety",
      "topics": [
        "nesda"
      ]
    },
    {
      "page": "oos.comparison",
      "title": "This function compares the predictive performance of several models fitted on the same data",
      "topics": [
        "oos.comparison"
      ]
    },
    {
      "page": "ggplot2-ggproto",
      "title": "Plot an object obtained using one of the bootstrap functions",
      "topics": [
        "plot.bootstrap"
      ]
    },
    {
      "page": "plot.clmdu",
      "title": "Plots a Cumulative Logistic MDU model",
      "topics": [
        "plot.clmdu"
      ]
    },
    {
      "page": "plot.clpca",
      "title": "Plots a Cumulative Logistic PCA model",
      "topics": [
        "plot.clpca"
      ]
    },
    {
      "page": "plot.lmdu",
      "title": "Plots a Logistic MDU model",
      "topics": [
        "plot.lmdu"
      ]
    },
    {
      "page": "plot.lpca",
      "title": "Plots a Logistic PCA Model",
      "topics": [
        "plot.lpca"
      ]
    },
    {
      "page": "plot.mrrr",
      "title": "Plots a Multinomial Reduced Rank Model",
      "topics": [
        "plot.mrrr"
      ]
    },
    {
      "page": "plot.mru",
      "title": "Plots a Multinomial Restricted MDU model",
      "topics": [
        "plot.mru"
      ]
    },
    {
      "page": "plot.trioscale",
      "title": "Plotting function for object of class trioscale",
      "topics": [
        "plot.trioscale"
      ]
    },
    {
      "page": "predict.clmdu",
      "title": "The function predict.clmdu makes predictions for a test/validation set based on a fitted cl restricted multidimensional unfolding model (clmdu with X)",
      "topics": [
        "predict.clmdu"
      ]
    },
    {
      "page": "predict.clpca",
      "title": "The function predict.clpca makes predictions for a test/validation set based on a fitted clrrr model (clpca with X)",
      "topics": [
        "predict.clpca"
      ]
    },
    {
      "page": "predict.lmdu",
      "title": "The function predict.lmdu makes predictions for a test/validation set based on a fitted lrmdu model (lmdu with X)",
      "topics": [
        "predict.lmdu"
      ]
    },
    {
      "page": "predict.lpca",
      "title": "The function predict.lpca makes predictions for a test/validation set based on a fitted lrrr model (lpca with X)",
      "topics": [
        "predict.lpca"
      ]
    },
    {
      "page": "predict.mlr",
      "title": "The function predict.mlr makes predictions for a test/validation set based on a fitted mlr model",
      "topics": [
        "predict.mlr"
      ]
    },
    {
      "page": "predict.mrrr",
      "title": "The function predict.mrrr makes predictions for a test/validation set based on a fitted mrrr model",
      "topics": [
        "predict.mrrr"
      ]
    },
    {
      "page": "predict.mru",
      "title": "The function predict.mru makes predictions for a test/validation set based on a fitted mru model",
      "topics": [
        "predict.mru"
      ]
    },
    {
      "page": "procrustes1",
      "title": "Two procedures for procrustes analysis",
      "topics": [
        "procrustes1"
      ]
    },
    {
      "page": "procx",
      "title": "Helper function for pre-processing the predictors",
      "topics": [
        "procx"
      ]
    },
    {
      "page": "read_drugdata",
      "title": "Function for reading the drug consumption data from the UCI repository",
      "topics": [
        "read_drugdata"
      ]
    },
    {
      "page": "read_isspdata_peb",
      "title": "Function to read in the ISSP data It requires the file ZA7650_v1-0-0.sav to be on your computer this file can be obtained from /www.gesis.org/en/issp/modules/issp-modules-by-topic/environment/2020 ZA7650 Data file Version 1.0.0, https://doi.org/10.4232/1.13921.",
      "topics": [
        "read_isspdata_peb"
      ]
    },
    {
      "page": "summary.clmdu",
      "title": "Summarizing Cumulative Logistic MDU models The function summary.lmdu gives a summary from an object from clmdu()",
      "topics": [
        "summary.clmdu"
      ]
    },
    {
      "page": "summary.clpca",
      "title": "Summarizing Cumulative Logistic PCA models",
      "topics": [
        "summary.clpca"
      ]
    },
    {
      "page": "summary.lmdu",
      "title": "Summarizing Logistic MDU models",
      "topics": [
        "summary.lmdu"
      ]
    },
    {
      "page": "summary.lpca",
      "title": "Summarizing Logistic PCA models",
      "topics": [
        "summary.lpca"
      ]
    },
    {
      "page": "summary.mcd",
      "title": "Summarizing an Multinomial Canonical Decomposition Model",
      "topics": [
        "summary.mcd"
      ]
    },
    {
      "page": "summary.mlr",
      "title": "Summarizing Multinomial Logistic Regression Model",
      "topics": [
        "summary.mlr"
      ]
    },
    {
      "page": "summary.mrrr",
      "title": "Summarizing Multinomial Reduced Rank Model",
      "topics": [
        "summary.mrrr"
      ]
    },
    {
      "page": "summary.mru",
      "title": "Summarizing Multinomial Restricted Unfolding Model The function summary.mru gives a summary from an object from mru()",
      "topics": [
        "summary.mru"
      ]
    },
    {
      "page": "summary.trioscale",
      "title": "Summarizing TrioScale",
      "topics": [
        "summary.trioscale"
      ]
    },
    {
      "page": "theme_lmda",
      "title": "Theme_lmda",
      "topics": [
        "theme_lmda"
      ]
    },
    {
      "page": "trioscale",
      "title": "Function for TRIOSCALE",
      "topics": [
        "trioscale"
      ]
    },
    {
      "page": "twomodedistance",
      "title": "The function twomodedistance computes the two mode (unfolding) distance",
      "topics": [
        "twomodedistance"
      ]
    }
  ],
  "_rundeps": [
    "abind",
    "backports",
    "base64enc",
    "bit",
    "bit64",
    "boot",
    "broom",
    "bslib",
    "cachem",
    "car",
    "carData",
    "checkmate",
    "class",
    "cli",
    "clipr",
    "cluster",
    "codetools",
    "colorspace",
    "corrplot",
    "cowplot",
    "cpp11",
    "crayon",
    "data.table",
    "Deriv",
    "digest",
    "doBy",
    "doParallel",
    "dplyr",
    "e1071",
    "ellipse",
    "evaluate",
    "farver",
    "fastmap",
    "fmdu",
    "fontawesome",
    "forcats",
    "foreach",
    "forecast",
    "foreign",
    "Formula",
    "fracdiff",
    "fs",
    "gdata",
    "generics",
    "ggforce",
    "ggplot2",
    "ggpubr",
    "ggrepel",
    "ggsci",
    "ggsignif",
    "glmnet",
    "glue",
    "gridExtra",
    "gtable",
    "gtools",
    "haven",
    "highr",
    "Hmisc",
    "hms",
    "htmlTable",
    "htmltools",
    "htmlwidgets",
    "isoband",
    "iterators",
    "jomo",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "lattice",
    "lifecycle",
    "lme4",
    "lmtest",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixModels",
    "memoise",
    "mgcv",
    "mice",
    "microbenchmark",
    "mime",
    "minqa",
    "mitml",
    "modelr",
    "nlme",
    "nloptr",
    "nnet",
    "nnls",
    "numDeriv",
    "ordinal",
    "pan",
    "pbkrtest",
    "pillar",
    "pkgconfig",
    "plotrix",
    "polyclip",
    "polynom",
    "prettyunits",
    "progress",
    "proxy",
    "purrr",
    "quantreg",
    "R6",
    "rappdirs",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "RcppParallel",
    "Rdpack",
    "readr",
    "reformulas",
    "Rfast",
    "rlang",
    "rmarkdown",
    "rpart",
    "rstatix",
    "rstudioapi",
    "S7",
    "sass",
    "scales",
    "shape",
    "smacof",
    "SparseM",
    "stringi",
    "stringr",
    "survival",
    "systemfonts",
    "tibble",
    "tidyr",
    "tidyselect",
    "timeDate",
    "tinytex",
    "tweenr",
    "tzdb",
    "ucminf",
    "urca",
    "utf8",
    "vctrs",
    "viridisLite",
    "vroom",
    "weights",
    "withr",
    "wordcloud",
    "xfun",
    "yaml",
    "zigg",
    "zoo"
  ],
  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "lmap",
  "_universes": [
    "mjderooij"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.2.4",
      "date": "2026-06-04T07:21:46.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "ba73666c54d4e33ff29ec94ca5d3f11d2e30641ad4d111730b7c5357c9bed76e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.2.4",
      "date": "2026-06-04T07:21:46.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "ef9a18284f7a9b77d9fd448d4abbb4c4a6a27421b640f75da0da5711d15400f1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.2.4",
      "date": "2026-06-04T07:22:00.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "c075bc36f18be1f224faa9da9cbe1c2d69794023d68b278d852460289ff02fe4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.2.4",
      "date": "2026-06-04T07:21:51.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "f24cce3ae0acdd7a499cf85cb8f0f8b03419ea376aef004722ad64bf9a9306ff",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.2.4",
      "date": "2026-06-04T07:22:27.000Z",
      "arch": "aarch64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "4f1bfc8eebc9efb84b35373d860da89e5026f7fd7d3cd6453f723ddd33d4f4b6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.2.4",
      "date": "2026-06-04T07:23:47.000Z",
      "arch": "x86_64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "fa99c15dc42bb44db7059a9f8d1a91d7de024b86b8deda8306e8822fc07ac0b6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.2.4",
      "date": "2026-06-04T07:21:26.000Z",
      "arch": "aarch64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "9a4d8cbfdea535cdfcc0f816b314ebbf23a1fe674062da7826f939708f0fef4c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.2.4",
      "date": "2026-06-04T07:30:41.000Z",
      "arch": "x86_64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "c0ca2d0d935ef88d75ce97ac66250105cad6bc47b2830867e285bc541724feea",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.2.4",
      "date": "2026-06-04T07:21:52.000Z",
      "arch": "emscripten",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "e5fb03970600f7a8fc1e3e7d0a3289408a2f2040fdb3852093be842358ec2ec7",
      "status": "success",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.2.4",
      "date": "2026-06-04T07:20:34.000Z",
      "arch": "x86_64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "cde28e5af76821b336f56aa2e316bcee0d970c5b36bf59f22e59032def262281",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.2.4",
      "date": "2026-06-04T07:20:30.000Z",
      "arch": "x86_64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "8dd3ac5b1b2f53a6b0d5a6e3e2ff848f42be450600442d95892b99c74cc5e62e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.2.4",
      "date": "2026-06-04T07:20:40.000Z",
      "arch": "x86_64",
      "commit": "242be520bca7c337ae37fb1e7661ffd05cae8fe9",
      "fileid": "850dabd65f11f054e0762cd556c812bedbb7c4b6e63020b1582af48644b876ac",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mjderooij/actions/runs/26936874150"
    }
  ]
}