{
  "_id": "6a16ac9cacfb0bcc41d84420",
  "Package": "refreg",
  "Type": "Package",
  "Title": "Conditional Multivariate Reference Regions",
  "Version": "0.1.1",
  "Authors@R": "c(\nperson(\"Oscar\", \"Lado-Baleato\",email=\"oscarlado.baleato@usc.es\", role =c(\"cre\",\"aut\")),\nperson(\"Javier\", \"Roca-Pardinas\", email=\"roca@uvigo.es\", role =c(\"aut\", \"ctb\")),\nperson(\"Carmen\", \"Cadarso-Suarez\",email=\"carmen.cadarso@usc.es\", role = c(\"aut\", \"ths\")),\nperson(\"Gude\",\"Francisco\",email=\"francisco.gude.sampedro@sergas.es\", role = c(\"aut\", \"ths\"))\n)",
  "Maintainer": "Oscar Lado-Baleato <oscarlado.baleato@usc.es>",
  "Description": "An R package for estimating conditional multivariate\nreference regions. The reference region is non parametrically\nestimated using a kernel density estimator. Covariates effects\non the multivariate response means vector and\nvariance-covariance matrix, thus on the region shape, are\nestimated by flexible additive predictors. Continuous\ncovariates non linear effects might be estimated using\npenalized splines smoothers. Confidence intervals for the\ncovariates estimated effects might be derived from bootstrap\nresampling. Kernel density bandwidth can be estimated with\ndifferent methods, including a method that optimize the region\ncoverage. Numerical, and graphical, summaries can be obtained\nby the user in order to evaluate reference region performance\nwith real data. Full mathematical details can be found in\n<doi:10.1002/sim.9163> and <doi:10.1007/s00477-020-01901-1>.",
  "License": "GPL-2",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.1.2",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-27 08:30:39 UTC",
    "User": "root"
  },
  "Author": "Oscar Lado-Baleato [cre, aut], Javier Roca-Pardinas [aut, ctb],\nCarmen Cadarso-Suarez [aut, ths], Gude Francisco [aut, ths]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-04-18 13:20:02 UTC",
  "RemoteUrl": "https://github.com/cran/refreg",
  "RemoteRef": "HEAD",
  "RemoteSha": "40eed0780ac588c843ccce5926f10beb4fed6d3b",
  "MD5sum": "e1fdedb40f98191c09958f3116037a74",
  "_user": "cran",
  "_type": "src",
  "_file": "refreg_0.1.1.tar.gz",
  "_fileid": "d588d299d54176aff127c403126ef6453a64541d5f9dda4b7f0c456215a02bc8",
  "_filesize": 276109,
  "_sha256": "d588d299d54176aff127c403126ef6453a64541d5f9dda4b7f0c456215a02bc8",
  "_created": "2026-05-27T08:30:39.000Z",
  "_published": "2026-05-27T08:34:36.931Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 78038197135,
      "time": 171,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7235686736"
    },
    {
      "job": 78038197168,
      "time": 176,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7235688314"
    },
    {
      "job": 78037642928,
      "time": 196,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7235626991"
    },
    {
      "job": 78038197145,
      "time": 154,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7235681241"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/26499766234",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/refreg",
  "_commit": {
    "id": "40eed0780ac588c843ccce5926f10beb4fed6d3b",
    "author": "Oscar Lado-Baleato <oscarlado.baleato@usc.es>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.1.1\n",
    "time": 1650288002
  },
  "_maintainer": {
    "name": "Oscar Lado-Baleato",
    "email": "oscarlado.baleato@usc.es"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 2.10",
      "role": "Depends"
    },
    {
      "package": "ks",
      "role": "Imports"
    },
    {
      "package": "KernSmooth",
      "role": "Imports"
    },
    {
      "package": "mgcv",
      "role": "Imports"
    },
    {
      "package": "gridExtra",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "RColorBrewer",
      "role": "Imports"
    },
    {
      "package": "sp",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "foreach",
      "role": "Imports"
    },
    {
      "package": "doParallel",
      "role": "Imports"
    },
    {
      "package": "pracma",
      "role": "Imports"
    },
    {
      "package": "misc3d",
      "role": "Imports"
    },
    {
      "package": "rgl",
      "role": "Imports"
    },
    {
      "package": "mbend",
      "role": "Imports"
    },
    {
      "package": "matrixcalc",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 208,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/refreg"
  },
  "_searchresults": 3,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/refreg.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2021-07-02"
    },
    {
      "version": "0.1.1",
      "date": "2022-04-18"
    }
  ],
  "_exports": [
    "ACE",
    "bivRegion",
    "bivRegr",
    "Hcov",
    "refcurv",
    "summary_boot",
    "trivRegion",
    "trivRegr"
  ],
  "_datasets": [
    {
      "name": "aegis",
      "title": "A Estrada Glycation and Inflammation Study (AEGIS) Data",
      "object": "aegis",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "gender",
        "age",
        "dm",
        "fpg",
        "hba1c",
        "fru"
      ],
      "rows": 1516,
      "table": true,
      "tojson": true
    },
    {
      "name": "pollution",
      "title": "SO2 and Nox concentrations",
      "object": "pollution",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Date",
        "So2",
        "Nox",
        "So2_0",
        "Nox_0",
        "So2_1",
        "Nox_1",
        "So2_2",
        "Nox_2",
        "So2_3",
        "Nox_3",
        "So2_4",
        "Nox_4"
      ],
      "rows": 4325,
      "table": true,
      "tojson": true
    },
    {
      "name": "pollution_episode",
      "title": "SO2 and Nox concentrations during a pollution episode",
      "object": "pollution_episode",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Date",
        "So2",
        "Nox",
        "So2_0",
        "Nox_0",
        "So2_1",
        "Nox_1",
        "So2_2",
        "Nox_2",
        "So2_3",
        "Nox_3",
        "So2_4",
        "Nox_4"
      ],
      "rows": 288,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ACE",
      "title": "Alternating Conditional Expectation (ACE) algorithm",
      "topics": [
        "ACE"
      ]
    },
    {
      "page": "aegis",
      "title": "A Estrada Glycation and Inflammation Study (AEGIS) Data",
      "topics": [
        "aegis"
      ]
    },
    {
      "page": "bivRegion",
      "title": "Bivariate reference region estimation",
      "topics": [
        "bivRegion"
      ]
    },
    {
      "page": "bivRegr",
      "title": "Bivariate regression model",
      "topics": [
        "bivRegr"
      ]
    },
    {
      "page": "Hcov",
      "title": "Kernel bandwidth selection method based on bivariate density contours coverage",
      "topics": [
        "Hcov"
      ]
    },
    {
      "page": "plot.bivRegion",
      "title": "Plot a bivRegion object",
      "topics": [
        "plot.bivRegion"
      ]
    },
    {
      "page": "plot.bivRegr",
      "title": "Plot method for bivRegr fit",
      "topics": [
        "plot.bivRegr"
      ]
    },
    {
      "page": "plot.refcurve",
      "title": "Plot univariate conditional quantile models curves (i.e. reference curves)",
      "topics": [
        "plot.refcurve"
      ]
    },
    {
      "page": "plot.summary_boot",
      "title": "Default summary_boot plotting",
      "topics": [
        "plot.summary_boot"
      ]
    },
    {
      "page": "plot.trivRegion",
      "title": "Default trivRegion plotting",
      "topics": [
        "plot.trivRegion"
      ]
    },
    {
      "page": "pollution",
      "title": "SO2 and Nox concentrations",
      "topics": [
        "pollution"
      ]
    },
    {
      "page": "pollution_episode",
      "title": "SO2 and Nox concentrations during a pollution episode",
      "topics": [
        "pollution_episode"
      ]
    },
    {
      "page": "predict.bivRegion",
      "title": "Prediction for a bivRegion object",
      "topics": [
        "predict.bivRegion"
      ]
    },
    {
      "page": "predict.bivRegr",
      "title": "Predict method for bivRegr",
      "topics": [
        "predict.bivRegr"
      ]
    },
    {
      "page": "refcurv",
      "title": "Univariate reference curve model",
      "topics": [
        "refcurv"
      ]
    },
    {
      "page": "summary_boot",
      "title": "bivRegr summary function",
      "topics": [
        "summary_boot"
      ]
    },
    {
      "page": "summary.bivRegion",
      "title": "bivRegion summary method",
      "topics": [
        "summary.bivRegion"
      ]
    },
    {
      "page": "trivRegion",
      "title": "Trivariate reference region estimation",
      "topics": [
        "trivRegion"
      ]
    },
    {
      "page": "trivRegr",
      "title": "Trivariate regression model",
      "topics": [
        "trivRegr"
      ]
    }
  ],
  "_rundeps": [
    "base64enc",
    "bslib",
    "cachem",
    "cli",
    "codetools",
    "cpp11",
    "digest",
    "doParallel",
    "evaluate",
    "farver",
    "fastmap",
    "FNN",
    "fontawesome",
    "foreach",
    "fs",
    "ggplot2",
    "glue",
    "gridExtra",
    "gtable",
    "highr",
    "htmltools",
    "htmlwidgets",
    "isoband",
    "iterators",
    "jquerylib",
    "jsonlite",
    "kernlab",
    "KernSmooth",
    "knitr",
    "ks",
    "labeling",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
    "matrixcalc",
    "mbend",
    "mclust",
    "memoise",
    "mgcv",
    "mime",
    "misc3d",
    "multicool",
    "mvtnorm",
    "nlme",
    "pracma",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "rgl",
    "rlang",
    "rmarkdown",
    "S7",
    "sass",
    "scales",
    "sp",
    "stringi",
    "stringr",
    "tinytex",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "yaml"
  ],
  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "refreg",
  "_universes": [
    "cran"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.1",
      "date": "2026-05-27T08:32:54.000Z",
      "distro": "noble",
      "commit": "40eed0780ac588c843ccce5926f10beb4fed6d3b",
      "fileid": "626db5f8d837bea1fb886a5756b8c2876d2a81ab5cb85419bda5893c354b61b7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26499766234"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.1",
      "date": "2026-05-27T08:32:56.000Z",
      "distro": "noble",
      "commit": "40eed0780ac588c843ccce5926f10beb4fed6d3b",
      "fileid": "15409f36da85d74f07fc98316d5192fb213bc6cde6371cfe334680450bdac00d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26499766234"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.1",
      "date": "2026-05-27T08:33:38.000Z",
      "commit": "40eed0780ac588c843ccce5926f10beb4fed6d3b",
      "fileid": "11cbfa81dd77ba07768858e3cba9ec803251724f8197df96b4626b81dd630f54",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26499766234"
    }
  ]
}