{
  "_id": "6a497221f408bf5a1e5fd713",
  "Package": "ddalpha",
  "Type": "Package",
  "Title": "Depth-Based Classification and Calculation of Data Depth",
  "Version": "1.3.16",
  "Date": "2024-09-29",
  "Authors@R": "c(person(\"Oleksii\", \"Pokotylo\", role=c(\"aut\", \"cre\"),\nemail = \"alexey.pokotylo@gmail.com\"),\nperson(\"Pavlo\", \"Mozharovskyi\", role=c(\"aut\"),\nemail = \"pavlo.mozharovskyi@telecom-paris.fr\"),\nperson(\"Rainer\", \"Dyckerhoff\", role=c(\"aut\"),\nemail = \"rainer.dyckerhoff@statistik.uni-koeln.de\"),\nperson(\"Stanislav\", \"Nagy\", role=c(\"aut\"),\nemail = \"nagy@karlin.mff.cuni.cz\"))",
  "Description": "Contains procedures for depth-based supervised learning,\nwhich are entirely non-parametric, in particular the\nDDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014\n<doi:10.1007/s00362-012-0488-4>). The training data sample is\ntransformed by a statistical depth function to a compact\nlow-dimensional space, where the final classification is done.\nIt also offers an extension to functional data and routines for\ncalculating certain notions of statistical depth functions. 50\nmultivariate and 5 functional classification problems are\nincluded. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019\n<doi:10.18637/jss.v091.i05>).",
  "License": "GPL-2",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-23 14:38:33 UTC",
    "User": "root"
  },
  "Author": "Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer\nDyckerhoff [aut], Stanislav Nagy [aut]",
  "Maintainer": "Oleksii Pokotylo <alexey.pokotylo@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-10-01 03:08:36 UTC",
  "RemoteUrl": "https://github.com/cran/ddalpha",
  "RemoteRef": "HEAD",
  "RemoteSha": "36b14b571620d9630e2520597c92efa5e2158e67",
  "_user": "cran",
  "_type": "src",
  "_file": "ddalpha_1.3.16.tar.gz",
  "_fileid": "https://r2.ropensci.org/5bf1d2e916408e4567b1fc962c3e36ca543fdfecf7047a0b37add43e97ca4474",
  "_filesize": 979124,
  "_sha256": "5bf1d2e916408e4567b1fc962c3e36ca543fdfecf7047a0b37add43e97ca4474",
  "_expires": "2026-10-12T20:50:40.000Z",
  "_created": "2026-06-23T14:38:33.000Z",
  "_published": "2026-07-04T20:50:41.869Z",
  "_jobs": [
    {
      "job": 85165961948,
      "time": 209,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7824300903"
    },
    {
      "job": 85165961930,
      "time": 195,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7824294722"
    },
    {
      "job": 85165962080,
      "time": 194,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7824294866"
    },
    {
      "job": 85165962067,
      "time": 198,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7824295849"
    },
    {
      "job": 85165961924,
      "time": 278,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7824215909"
    },
    {
      "job": 85165962175,
      "time": 207,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7824299647"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/28033882099",
  "_status": "success",
  "_upstream": "https://github.com/cran/ddalpha",
  "_commit": {
    "id": "36b14b571620d9630e2520597c92efa5e2158e67",
    "author": "Oleksii Pokotylo <alexey.pokotylo@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.3.16\n",
    "time": 1727752116
  },
  "_maintainer": {
    "name": "Oleksii Pokotylo",
    "email": "alexey.pokotylo@gmail.com",
    "login": "pokotylo",
    "description": "",
    "uuid": 10742825
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 2.10",
      "role": "Depends"
    },
    {
      "package": "stats",
      "role": "Depends"
    },
    {
      "package": "utils",
      "role": "Depends"
    },
    {
      "package": "graphics",
      "role": "Depends"
    },
    {
      "package": "grDevices",
      "role": "Depends"
    },
    {
      "package": "MASS",
      "role": "Depends"
    },
    {
      "package": "class",
      "role": "Depends"
    },
    {
      "package": "robustbase",
      "role": "Depends"
    },
    {
      "package": "sfsmisc",
      "role": "Depends"
    },
    {
      "package": "geometry",
      "role": "Depends"
    },
    {
      "package": "BH",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "version": ">= 0.11.0",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 9,
  "_updates": [],
  "_tags": [],
  "_stars": 2,
  "_contributors": [
    {
      "user": "pokotylo",
      "count": 27,
      "uuid": 10742825
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 610,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 6151,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ddalpha"
  },
  "_searchresults": 204,
  "_topics": [
    "cpp",
    "glibc"
  ],
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ddalpha.html",
    "manual.pdf"
  ],
  "_realowner": "pokotylo",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0.3",
      "date": "2013-02-28"
    },
    {
      "version": "1.0.4",
      "date": "2013-05-16"
    },
    {
      "version": "1.0.5",
      "date": "2014-03-16"
    },
    {
      "version": "1.0.6",
      "date": "2014-03-28"
    },
    {
      "version": "1.1.0",
      "date": "2014-12-20"
    },
    {
      "version": "1.1.1",
      "date": "2015-05-19"
    },
    {
      "version": "1.1.2.2",
      "date": "2015-07-01"
    },
    {
      "version": "1.1.2.3",
      "date": "2015-07-03"
    },
    {
      "version": "1.1.3",
      "date": "2015-07-23"
    },
    {
      "version": "1.1.3.1",
      "date": "2015-07-24"
    },
    {
      "version": "1.2.0",
      "date": "2016-07-25"
    },
    {
      "version": "1.2.0.1",
      "date": "2016-07-27"
    },
    {
      "version": "1.2.1",
      "date": "2016-10-09"
    },
    {
      "version": "1.3.1",
      "date": "2017-09-27"
    },
    {
      "version": "1.3.1.1",
      "date": "2018-02-02"
    },
    {
      "version": "1.3.2",
      "date": "2018-04-08"
    },
    {
      "version": "1.3.3",
      "date": "2018-04-30"
    },
    {
      "version": "1.3.4",
      "date": "2018-06-23"
    },
    {
      "version": "1.3.7",
      "date": "2018-12-10"
    },
    {
      "version": "1.3.8",
      "date": "2019-01-06"
    },
    {
      "version": "1.3.9",
      "date": "2019-04-07"
    },
    {
      "version": "1.3.10",
      "date": "2019-10-26"
    },
    {
      "version": "1.3.11",
      "date": "2020-01-09"
    },
    {
      "version": "1.3.12",
      "date": "2022-03-13"
    },
    {
      "version": "1.3.13",
      "date": "2022-03-23"
    },
    {
      "version": "1.3.15",
      "date": "2024-01-12"
    },
    {
      "version": "1.3.16",
      "date": "2024-09-30"
    }
  ],
  "_exports": [
    "Cmetric",
    "compclassf.classify",
    "compclassf.train",
    "dataf",
    "dataf.geneexp",
    "dataf.growth",
    "dataf.medflies",
    "dataf.population",
    "dataf.population2010",
    "dataf.sim.1.CFF07",
    "dataf.sim.2.CFF07",
    "dataf.tecator",
    "dataf2rawfd",
    "ddalpha.classify",
    "ddalpha.getErrorRateCV",
    "ddalpha.getErrorRatePart",
    "ddalpha.test",
    "ddalpha.train",
    "ddalphaf.classify",
    "ddalphaf.getErrorRateCV",
    "ddalphaf.getErrorRatePart",
    "ddalphaf.test",
    "ddalphaf.train",
    "depth.",
    "depth.betaSkeleton",
    "depth.contours",
    "depth.contours.ddalpha",
    "depth.graph",
    "depth.halfspace",
    "depth.L2",
    "depth.Mahalanobis",
    "depth.potential",
    "depth.projection",
    "depth.qhpeeling",
    "depth.sample",
    "depth.simplicial",
    "depth.simplicialVolume",
    "depth.space.",
    "depth.space.halfspace",
    "depth.space.Mahalanobis",
    "depth.space.potential",
    "depth.space.projection",
    "depth.space.simplicial",
    "depth.space.simplicialVolume",
    "depth.space.spatial",
    "depth.space.zonoid",
    "depth.spatial",
    "depth.zonoid",
    "depthf.",
    "depthf.ABD",
    "depthf.BD",
    "depthf.fd1",
    "depthf.fd2",
    "depthf.hM",
    "depthf.hM2",
    "depthf.HR",
    "depthf.RP1",
    "depthf.RP2",
    "depthf.simplicialBand",
    "derivatives.est",
    "dknn.classify",
    "dknn.classify.trained",
    "dknn.train",
    "draw.ddplot",
    "FKS",
    "getdata",
    "infimalRank",
    "is.in.convex",
    "L2metric",
    "lines.functional",
    "plot.functional",
    "points.functional",
    "rawfd2dataf",
    "resetPar",
    "shape.fd.analysis",
    "shape.fd.outliers"
  ],
  "_datasets": [
    {
      "name": "baby",
      "title": "Data for Classification",
      "object": "baby",
      "file": "baby.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 247,
      "table": true,
      "tojson": true
    },
    {
      "name": "banknoten",
      "title": "Data for Classification",
      "object": "banknoten",
      "file": "banknoten.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "laenge",
        "links",
        "rechts",
        "unten",
        "oben",
        "diagonal",
        "falsch"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "biomed",
      "title": "Data for Classification",
      "object": "biomed",
      "file": "biomed.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "C"
      ],
      "rows": 194,
      "table": true,
      "tojson": true
    },
    {
      "name": "bloodtransfusion",
      "title": "Data for Classification",
      "object": "bloodtransfusion",
      "file": "bloodtransfusion.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Recency",
        "Frequency",
        "Monetary",
        "C"
      ],
      "rows": 748,
      "table": true,
      "tojson": true
    },
    {
      "name": "breast_cancer_wisconsin",
      "title": "Data for Classification",
      "object": "breast_cancer_wisconsin",
      "file": "breast_cancer_wisconsin.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "X9",
        "X10",
        "C"
      ],
      "rows": 699,
      "table": true,
      "tojson": true
    },
    {
      "name": "bupa",
      "title": "Data for Classification",
      "object": "bupa",
      "file": "bupa.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "C"
      ],
      "rows": 345,
      "table": true,
      "tojson": true
    },
    {
      "name": "chemdiab_1vs2",
      "title": "Data for Classification",
      "object": "chemdiab_1vs2",
      "file": "chemdiab_1vs2.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X23",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 112,
      "table": true,
      "tojson": true
    },
    {
      "name": "chemdiab_1vs3",
      "title": "Data for Classification",
      "object": "chemdiab_1vs3",
      "file": "chemdiab_1vs3.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X23",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 69,
      "table": true,
      "tojson": true
    },
    {
      "name": "chemdiab_2vs3",
      "title": "Data for Classification",
      "object": "chemdiab_2vs3",
      "file": "chemdiab_2vs3.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X23",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 109,
      "table": true,
      "tojson": true
    },
    {
      "name": "cloud",
      "title": "Data for Classification",
      "object": "cloud",
      "file": "cloud.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "PERIOD",
        "TE",
        "TW",
        "NC",
        "SC",
        "NWC",
        "SEEDED"
      ],
      "rows": 108,
      "table": true,
      "tojson": true
    },
    {
      "name": "crab_BvsO",
      "title": "Data for Classification",
      "object": "crab_BvsO",
      "file": "crab_BvsO.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "FL",
        "RW",
        "CL",
        "CW",
        "BD",
        "C"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "crab_MvsF",
      "title": "Data for Classification",
      "object": "crab_MvsF",
      "file": "crab_MvsF.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "FL",
        "RW",
        "CL",
        "CW",
        "BD",
        "C"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "crabB_MvsF",
      "title": "Data for Classification",
      "object": "crabB_MvsF",
      "file": "crabB_MvsF.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "FL",
        "RW",
        "CL",
        "CW",
        "BD",
        "C"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "crabF_BvsO",
      "title": "Data for Classification",
      "object": "crabF_BvsO",
      "file": "crabF_BvsO.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "FL",
        "RW",
        "CL",
        "CW",
        "BD",
        "C"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "crabM_BvsO",
      "title": "Data for Classification",
      "object": "crabM_BvsO",
      "file": "crabM_BvsO.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "FL",
        "RW",
        "CL",
        "CW",
        "BD",
        "C"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "crabO_MvsF",
      "title": "Data for Classification",
      "object": "crabO_MvsF",
      "file": "crabO_MvsF.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "FL",
        "RW",
        "CL",
        "CW",
        "BD",
        "C"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "cricket_CvsP",
      "title": "Data for Classification",
      "object": "cricket_CvsP",
      "file": "cricket_CvsP.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "C"
      ],
      "rows": 156,
      "table": true,
      "tojson": true
    },
    {
      "name": "diabetes",
      "title": "Data for Classification",
      "object": "diabetes",
      "file": "diabetes.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "C"
      ],
      "rows": 768,
      "table": true,
      "tojson": true
    },
    {
      "name": "ecoli_cpvsim",
      "title": "Data for Classification",
      "object": "ecoli_cpvsim",
      "file": "ecoli_cpvsim.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 220,
      "table": true,
      "tojson": true
    },
    {
      "name": "ecoli_cpvspp",
      "title": "Data for Classification",
      "object": "ecoli_cpvspp",
      "file": "ecoli_cpvspp.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 195,
      "table": true,
      "tojson": true
    },
    {
      "name": "ecoli_imvspp",
      "title": "Data for Classification",
      "object": "ecoli_imvspp",
      "file": "ecoli_imvspp.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 129,
      "table": true,
      "tojson": true
    },
    {
      "name": "gemsen_MvsF",
      "title": "Data for Classification",
      "object": "gemsen_MvsF",
      "file": "gemsen_MvsF.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "jahr",
        "alter",
        "altersgruppe",
        "gewicht",
        "krucken",
        "ref",
        "geschlecht"
      ],
      "rows": 1349,
      "table": true,
      "tojson": true
    },
    {
      "name": "geneexp",
      "title": "Gene Expression Profile Data",
      "object": "geneexp",
      "file": "geneexp.rda",
      "class": [
        "functional"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "glass",
      "title": "Data for Classification",
      "object": "glass",
      "file": "glass.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "RI",
        "Na",
        "Mg",
        "Al",
        "Si",
        "K",
        "Ca",
        "Ba",
        "Fe",
        "Class"
      ],
      "rows": 146,
      "table": true,
      "tojson": true
    },
    {
      "name": "groessen_MvsF",
      "title": "Data for Classification",
      "object": "groessen_MvsF",
      "file": "groessen_MvsF.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "child",
        "mother",
        "father",
        "sex"
      ],
      "rows": 230,
      "table": true,
      "tojson": true
    },
    {
      "name": "growth",
      "title": "Berkeley Growth Study Data",
      "object": "growth",
      "file": "growth.rda",
      "class": [
        "functional"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "haberman",
      "title": "Data for Classification",
      "object": "haberman",
      "file": "haberman.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "C"
      ],
      "rows": 306,
      "table": true,
      "tojson": true
    },
    {
      "name": "heart",
      "title": "Data for Classification",
      "object": "heart",
      "file": "heart.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "X9",
        "X10",
        "X11",
        "X12",
        "X13",
        "C"
      ],
      "rows": 270,
      "table": true,
      "tojson": true
    },
    {
      "name": "hemophilia",
      "title": "Data for Classification",
      "object": "hemophilia",
      "file": "hemophilia.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "AHFactivity",
        "AHFactivity.1",
        "gr"
      ],
      "rows": 75,
      "table": true,
      "tojson": true
    },
    {
      "name": "indian_liver_patient_1vs2",
      "title": "Data for Classification",
      "object": "indian_liver_patient_1vs2",
      "file": "indian_liver_patient_1vs2.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "X9",
        "X10",
        "C"
      ],
      "rows": 579,
      "table": true,
      "tojson": true
    },
    {
      "name": "indian_liver_patient_FvsM",
      "title": "Data for Classification",
      "object": "indian_liver_patient_FvsM",
      "file": "indian_liver_patient_FvsM.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "X9",
        "C"
      ],
      "rows": 579,
      "table": true,
      "tojson": true
    },
    {
      "name": "iris_setosavsversicolor",
      "title": "Data for Classification",
      "object": "iris_setosavsversicolor",
      "file": "iris_setosavsversicolor.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "C"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "iris_setosavsvirginica",
      "title": "Data for Classification",
      "object": "iris_setosavsvirginica",
      "file": "iris_setosavsvirginica.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "C"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "iris_versicolorvsvirginica",
      "title": "Data for Classification",
      "object": "iris_versicolorvsvirginica",
      "file": "iris_versicolorvsvirginica.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "C"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "irish_ed_MvsF",
      "title": "Data for Classification",
      "object": "irish_ed_MvsF",
      "file": "irish_ed_MvsF.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "kidney",
      "title": "Data for Classification",
      "object": "kidney",
      "file": "kidney.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "time",
        "status",
        "age",
        "sex",
        "disease",
        "C"
      ],
      "rows": 76,
      "table": true,
      "tojson": true
    },
    {
      "name": "medflies",
      "title": "Relationship of Age Patterns of Fecundity to Mortality for Female Medflies.",
      "object": "medflies",
      "file": "medflies.rda",
      "class": [
        "functional"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "pima",
      "title": "Data for Classification",
      "object": "pima",
      "file": "pima.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "C"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "plasma_retinol_MvsF",
      "title": "Data for Classification",
      "object": "plasma_retinol_MvsF",
      "file": "plasma_retinol_MvsF.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "AGE",
        "SMOKSTAT",
        "QUETELET",
        "VITUSE",
        "CALORIES",
        "FAT",
        "FIBER",
        "ALCOHOL",
        "CHOLESTEROL",
        "BETADIET",
        "RETDIET",
        "BETAPLASMA",
        "RETPLASMA",
        "SEX"
      ],
      "rows": 315,
      "table": true,
      "tojson": true
    },
    {
      "name": "population",
      "title": "World Historical Population-by-Country Dataset",
      "object": "population",
      "file": "population.rda",
      "class": [
        "functional"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "population2010",
      "title": "World Historical Population-by-Country Dataset (2010 Revision)",
      "object": "population2010",
      "file": "population2010.rda",
      "class": [
        "functional"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "segmentation",
      "title": "Data for Classification",
      "object": "segmentation",
      "file": "segmentation.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "X9",
        "X10",
        "C"
      ],
      "rows": 660,
      "table": true,
      "tojson": true
    },
    {
      "name": "socmob_IvsNI",
      "title": "Data for Classification",
      "object": "socmob_IvsNI",
      "file": "socmob_IvsNI.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 1156,
      "table": true,
      "tojson": true
    },
    {
      "name": "socmob_WvsB",
      "title": "Data for Classification",
      "object": "socmob_WvsB",
      "file": "socmob_WvsB.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 1156,
      "table": true,
      "tojson": true
    },
    {
      "name": "tae",
      "title": "Data for Classification",
      "object": "tae",
      "file": "tae.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "C"
      ],
      "rows": 151,
      "table": true,
      "tojson": true
    },
    {
      "name": "tecator",
      "title": "Functional Data Set Spectrometric Data (Tecator)",
      "object": "tecator",
      "file": "tecator.rda",
      "class": [
        "functional"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "tennis_MvsF",
      "title": "Data for Classification",
      "object": "tennis_MvsF",
      "file": "tennis_MvsF.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "X9",
        "X10",
        "X11",
        "X12",
        "X13",
        "X14",
        "X15",
        "C"
      ],
      "rows": 87,
      "table": true,
      "tojson": true
    },
    {
      "name": "tips_DvsN",
      "title": "Data for Classification",
      "object": "tips_DvsN",
      "file": "tips_DvsN.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "TOTBILL",
        "TIP",
        "SEX",
        "SMOKER",
        "DAY",
        "SIZE",
        "TIME"
      ],
      "rows": 244,
      "table": true,
      "tojson": true
    },
    {
      "name": "tips_MvsF",
      "title": "Data for Classification",
      "object": "tips_MvsF",
      "file": "tips_MvsF.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "TOTBILL",
        "TIP",
        "SMOKER",
        "DAY",
        "TIME",
        "SIZE",
        "SEX"
      ],
      "rows": 244,
      "table": true,
      "tojson": true
    },
    {
      "name": "uscrime_SvsN",
      "title": "Data for Classification",
      "object": "uscrime_SvsN",
      "file": "uscrime_SvsN.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "R",
        "Age",
        "Ed",
        "Ex0",
        "Ex1",
        "LF",
        "M",
        "N",
        "NW",
        "U1",
        "U2",
        "W",
        "X",
        "S"
      ],
      "rows": 47,
      "table": true,
      "tojson": true
    },
    {
      "name": "vertebral_column",
      "title": "Data for Classification",
      "object": "vertebral_column",
      "file": "vertebral_column.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "C"
      ],
      "rows": 310,
      "table": true,
      "tojson": true
    },
    {
      "name": "veteran_lung_cancer",
      "title": "Data for Classification",
      "object": "veteran_lung_cancer",
      "file": "veteran_lung_cancer.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Celltype",
        "Survival",
        "Status",
        "Karnofsky_score",
        "Months",
        "Age",
        "Prior_therapy",
        "Treatment"
      ],
      "rows": 137,
      "table": true,
      "tojson": true
    },
    {
      "name": "vowel_MvsF",
      "title": "Data for Classification",
      "object": "vowel_MvsF",
      "file": "vowel_MvsF.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "X9",
        "X10",
        "X11",
        "X12",
        "X13",
        "C"
      ],
      "rows": 990,
      "table": true,
      "tojson": true
    },
    {
      "name": "wine_1vs2",
      "title": "Data for Classification",
      "object": "wine_1vs2",
      "file": "wine_1vs2.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "X9",
        "X10",
        "X11",
        "X12",
        "X13",
        "C"
      ],
      "rows": 130,
      "table": true,
      "tojson": true
    },
    {
      "name": "wine_1vs3",
      "title": "Data for Classification",
      "object": "wine_1vs3",
      "file": "wine_1vs3.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "X9",
        "X10",
        "X11",
        "X12",
        "X13",
        "C"
      ],
      "rows": 107,
      "table": true,
      "tojson": true
    },
    {
      "name": "wine_2vs3",
      "title": "Data for Classification",
      "object": "wine_2vs3",
      "file": "wine_2vs3.txt.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6",
        "X7",
        "X8",
        "X9",
        "X10",
        "X11",
        "X12",
        "X13",
        "C"
      ],
      "rows": 119,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ddalpha-package",
      "title": "Depth-Based Classification and Calculation of Data Depth",
      "topics": [
        "ddalpha-package",
        "ddalpha"
      ]
    },
    {
      "page": "Cmetric",
      "title": "Fast Computation of the Uniform Metric for Sets of Functional Data",
      "topics": [
        "Cmetric"
      ]
    },
    {
      "page": "compclassf.classify",
      "title": "Classify using Functional Componentwise Classifier",
      "topics": [
        "compclassf.classify",
        "predict.compclassf"
      ]
    },
    {
      "page": "compclassf.train",
      "title": "Functional Componentwise Classifier",
      "topics": [
        "compclassf.train"
      ]
    },
    {
      "page": "CustomMethods",
      "title": "Using Custom Depth Functions and Classifiers",
      "topics": [
        "Custom Methods"
      ]
    },
    {
      "page": "dataf",
      "title": "Converts data from fdata class to the functional class.",
      "topics": [
        "dataf"
      ]
    },
    {
      "page": "dataf.",
      "title": "Functional Data Sets",
      "topics": [
        "dataf.*"
      ]
    },
    {
      "page": "dataf.geneexp",
      "title": "Gene Expression Profile Data",
      "topics": [
        "dataf.geneexp",
        "geneexp"
      ]
    },
    {
      "page": "dataf.growth",
      "title": "Berkeley Growth Study Data",
      "topics": [
        "dataf.growth",
        "growth"
      ]
    },
    {
      "page": "dataf.medflies",
      "title": "Relationship of Age Patterns of Fecundity to Mortality for Female Medflies.",
      "topics": [
        "dataf.medflies",
        "medflies"
      ]
    },
    {
      "page": "dataf.population",
      "title": "World Historical Population-by-Country Dataset",
      "topics": [
        "dataf.population",
        "population"
      ]
    },
    {
      "page": "dataf.population2010",
      "title": "World Historical Population-by-Country Dataset (2010 Revision)",
      "topics": [
        "dataf.population2010",
        "population2010"
      ]
    },
    {
      "page": "dataf.sim.1.CFF07",
      "title": "Model 1 from Cuevas et al. (2007)",
      "topics": [
        "dataf.sim.1.CFF07"
      ]
    },
    {
      "page": "dataf.sim.2.CFF07",
      "title": "Model 2 from Cuevas et al. (2007)",
      "topics": [
        "dataf.sim.2.CFF07"
      ]
    },
    {
      "page": "dataf.tecator",
      "title": "Functional Data Set Spectrometric Data (Tecator)",
      "topics": [
        "dataf.tecator",
        "tecator"
      ]
    },
    {
      "page": "dataf2rawfd",
      "title": "Transform a 'dataf' Object to Raw Functional Data",
      "topics": [
        "dataf2rawfd"
      ]
    },
    {
      "page": "ddalpha.classify",
      "title": "Classify using DD-Classifier",
      "topics": [
        "ddalpha.classify",
        "predict.ddalpha"
      ]
    },
    {
      "page": "ddalpha.getErrorRateCV",
      "title": "Test DD-Classifier",
      "topics": [
        "ddalpha.getErrorRateCV"
      ]
    },
    {
      "page": "ddalpha.getErrorRatePart",
      "title": "Test DD-Classifier",
      "topics": [
        "ddalpha.getErrorRatePart"
      ]
    },
    {
      "page": "ddalpha.test",
      "title": "Test DD-Classifier",
      "topics": [
        "ddalpha.test"
      ]
    },
    {
      "page": "ddalpha.train",
      "title": "Train DD-Classifier",
      "topics": [
        "alpha",
        "ddalpha.train",
        "knnlm",
        "maxD",
        "outsiders",
        "polynomial"
      ]
    },
    {
      "page": "ddalphaf.classify",
      "title": "Classify using Functional DD-Classifier",
      "topics": [
        "ddalphaf.classify",
        "predict.ddalphaf"
      ]
    },
    {
      "page": "ddalphaf.getErrorRateCV",
      "title": "Test Functional DD-Classifier",
      "topics": [
        "ddalphaf.getErrorRateCV"
      ]
    },
    {
      "page": "ddalphaf.getErrorRatePart",
      "title": "Test Functional DD-Classifier",
      "topics": [
        "ddalphaf.getErrorRatePart"
      ]
    },
    {
      "page": "ddalphaf.test",
      "title": "Test Functional DD-Classifier",
      "topics": [
        "ddalphaf.test"
      ]
    },
    {
      "page": "ddalphaf.train",
      "title": "Functional DD-Classifier",
      "topics": [
        "ddalphaf.train"
      ]
    },
    {
      "page": "depth.",
      "title": "Calculate Depth",
      "topics": [
        "depth."
      ]
    },
    {
      "page": "depth.betaSkeleton",
      "title": "Calculate Beta-Skeleton Depth",
      "topics": [
        "depth.betaSkeleton"
      ]
    },
    {
      "page": "depth.contours",
      "title": "Depth Contours",
      "topics": [
        "depth.contours"
      ]
    },
    {
      "page": "depth.contours.ddalpha",
      "title": "Depth Contours",
      "topics": [
        "depth.contours.ddalpha"
      ]
    },
    {
      "page": "depth.graph",
      "title": "Depth Graph",
      "topics": [
        "depth.graph"
      ]
    },
    {
      "page": "depth.halfspace",
      "title": "Calculate Halfspace Depth",
      "topics": [
        "depth.halfspace"
      ]
    },
    {
      "page": "depth.L2",
      "title": "Calculate L2-Depth",
      "topics": [
        "depth.L2"
      ]
    },
    {
      "page": "depth.Mahalanobis",
      "title": "Calculate Mahalanobis Depth",
      "topics": [
        "depth.Mahalanobis"
      ]
    },
    {
      "page": "depth.potential",
      "title": "Calculate Potential of the Data",
      "topics": [
        "depth.potential"
      ]
    },
    {
      "page": "depth.projection",
      "title": "Calculate Projection Depth",
      "topics": [
        "depth.projection"
      ]
    },
    {
      "page": "depth.qhpeeling",
      "title": "Calculate Convex Hull Peeling Depth",
      "topics": [
        "depth.qhpeeling"
      ]
    },
    {
      "page": "depth.sample",
      "title": "Fast Depth Computation for Univariate and Bivariate Random Samples",
      "topics": [
        "depth.sample"
      ]
    },
    {
      "page": "depth.simplicial",
      "title": "Calculate Simplicial Depth",
      "topics": [
        "depth.simplicial"
      ]
    },
    {
      "page": "depth.simplicialVolume",
      "title": "Calculate Simplicial Volume Depth",
      "topics": [
        "depth.simplicialVolume"
      ]
    },
    {
      "page": "depth.space.",
      "title": "Calculate Depth Space using the Given Depth",
      "topics": [
        "depth.space."
      ]
    },
    {
      "page": "depth.space.halfspace",
      "title": "Calculate Depth Space using Halfspace Depth",
      "topics": [
        "depth.space.halfspace"
      ]
    },
    {
      "page": "depth.space.Mahalanobis",
      "title": "Calculate Depth Space using Mahalanobis Depth",
      "topics": [
        "depth.space.Mahalanobis"
      ]
    },
    {
      "page": "depth.space.potential",
      "title": "Calculate Potential Space",
      "topics": [
        "depth.space.potential"
      ]
    },
    {
      "page": "depth.space.projection",
      "title": "Calculate Depth Space using Projection Depth",
      "topics": [
        "depth.space.projection"
      ]
    },
    {
      "page": "depth.space.simplicial",
      "title": "Calculate Depth Space using Simplicial Depth",
      "topics": [
        "depth.space.simplicial"
      ]
    },
    {
      "page": "depth.space.simplicialVolume",
      "title": "Calculate Depth Space using Simplicial Volume Depth",
      "topics": [
        "depth.space.simplicialVolume"
      ]
    },
    {
      "page": "depth.space.spatial",
      "title": "Calculate Depth Space using Spatial Depth",
      "topics": [
        "depth.space.spatial"
      ]
    },
    {
      "page": "depth.space.zonoid",
      "title": "Calculate Depth Space using Zonoid Depth",
      "topics": [
        "depth.space.zonoid"
      ]
    },
    {
      "page": "depth.spatial",
      "title": "Calculate Spatial Depth",
      "topics": [
        "depth.spatial"
      ]
    },
    {
      "page": "depth.zonoid",
      "title": "Calculate Zonoid Depth",
      "topics": [
        "depth.zonoid"
      ]
    },
    {
      "page": "depthf.",
      "title": "Calculate Functional Depth",
      "topics": [
        "depthf."
      ]
    },
    {
      "page": "depthf.ABD",
      "title": "Adjusted Band Depth for Functional Data",
      "topics": [
        "depthf.ABD"
      ]
    },
    {
      "page": "depthf.BD",
      "title": "Band Depth for Functional Data",
      "topics": [
        "depthf.BD"
      ]
    },
    {
      "page": "depthf.fd1",
      "title": "Univariate Integrated and Infimal Depth for Functional Data",
      "topics": [
        "depthf.fd1"
      ]
    },
    {
      "page": "depthf.fd2",
      "title": "Bivariate Integrated and Infimal Depth for Functional Data",
      "topics": [
        "depthf.fd2"
      ]
    },
    {
      "page": "depthf.hM",
      "title": "h-Mode Depth for Functional Data",
      "topics": [
        "depthf.hM"
      ]
    },
    {
      "page": "depthf.hM2",
      "title": "Bivariate h-Mode Depth for Functional Data Based on the L^2 Metric",
      "topics": [
        "depthf.hM2"
      ]
    },
    {
      "page": "depthf.HR",
      "title": "Half-Region Depth for Functional Data",
      "topics": [
        "depthf.HR"
      ]
    },
    {
      "page": "depthf.RP1",
      "title": "Univariate Random Projection Depths for Functional Data",
      "topics": [
        "depthf.RP1"
      ]
    },
    {
      "page": "depthf.RP2",
      "title": "Bivariate Random Projection Depths for Functional Data",
      "topics": [
        "depthf.RP2"
      ]
    },
    {
      "page": "depthf.simplicialBand",
      "title": "Calculate Simplicial Band Depth",
      "topics": [
        "depthf.simplicialBand"
      ]
    },
    {
      "page": "derivatives.est",
      "title": "Estimation of the First Two Derivatives for Functional Data",
      "topics": [
        "derivatives.est"
      ]
    },
    {
      "page": "dknn.classify",
      "title": "Depth-Based kNN",
      "topics": [
        "dknn.classify"
      ]
    },
    {
      "page": "dknn.classify.trained",
      "title": "Depth-Based kNN",
      "topics": [
        "dknn.classify.trained"
      ]
    },
    {
      "page": "dknn.train",
      "title": "Depth-Based kNN",
      "topics": [
        "dknn.train"
      ]
    },
    {
      "page": "draw.ddplot",
      "title": "Draw _DD_-Plot",
      "topics": [
        "draw.ddplot"
      ]
    },
    {
      "page": "FKS",
      "title": "Fast Kernel Smoothing",
      "topics": [
        "FKS"
      ]
    },
    {
      "page": "getdata",
      "title": "Data for Classification",
      "topics": [
        "baby",
        "banknoten",
        "biomed",
        "bloodtransfusion",
        "breast_cancer_wisconsin",
        "bupa",
        "chemdiab_1vs2",
        "chemdiab_1vs3",
        "chemdiab_2vs3",
        "cloud",
        "crabB_MvsF",
        "crabF_BvsO",
        "crabM_BvsO",
        "crabO_MvsF",
        "crab_BvsO",
        "crab_MvsF",
        "cricket_CvsP",
        "data",
        "diabetes",
        "ecoli_cpvsim",
        "ecoli_cpvspp",
        "ecoli_imvspp",
        "gemsen_MvsF",
        "getdata",
        "glass",
        "groessen_MvsF",
        "haberman",
        "heart",
        "hemophilia",
        "indian_liver_patient_1vs2",
        "indian_liver_patient_FvsM",
        "irish_ed_MvsF",
        "iris_setosavsversicolor",
        "iris_setosavsvirginica",
        "iris_versicolorvsvirginica",
        "kidney",
        "pima",
        "plasma_retinol_MvsF",
        "segmentation",
        "socmob_IvsNI",
        "socmob_WvsB",
        "tae",
        "tennis_MvsF",
        "tips_DvsN",
        "tips_MvsF",
        "uscrime_SvsN",
        "vertebral_column",
        "veteran_lung_cancer",
        "vowel_MvsF",
        "wine_1vs2",
        "wine_1vs3",
        "wine_2vs3"
      ]
    },
    {
      "page": "infimalRank",
      "title": "Adjusted Ranking of Functional Data Based on the Infimal Depth",
      "topics": [
        "infimalRank"
      ]
    },
    {
      "page": "is.in.convex",
      "title": "Check Outsiderness",
      "topics": [
        "is.in.convex"
      ]
    },
    {
      "page": "L2metric",
      "title": "Fast Computation of the L^2 Metric for Sets of Functional Data",
      "topics": [
        "L2metric"
      ]
    },
    {
      "page": "plot.ddalpha",
      "title": "Plots for the \"ddalpha\" Class",
      "topics": [
        "plot.ddalpha"
      ]
    },
    {
      "page": "plot.ddalphaf",
      "title": "Plots for the \"ddalphaf\" Class",
      "topics": [
        "plot.ddalphaf"
      ]
    },
    {
      "page": "plot.functional",
      "title": "Plot functions for the Functional Data",
      "topics": [
        "lines.functional",
        "plot.functional",
        "points.functional"
      ]
    },
    {
      "page": "rawfd2dataf",
      "title": "Transform Raw Functional Data to a 'dataf' Object",
      "topics": [
        "rawfd2dataf"
      ]
    },
    {
      "page": "resetPar",
      "title": "Reset Graphical Parameters",
      "topics": [
        "resetPar"
      ]
    },
    {
      "page": "shape.fd.analysis",
      "title": "Diagnostic Plot for First and Second Order Integrated and Infimal Depths",
      "topics": [
        "shape.fd.analysis"
      ]
    },
    {
      "page": "shape.fd.outliers",
      "title": "Functional Depth-Based Shape Outlier Detection",
      "topics": [
        "shape.fd.outliers"
      ]
    }
  ],
  "_rundeps": [
    "abind",
    "BH",
    "class",
    "DEoptimR",
    "geometry",
    "linprog",
    "lpSolve",
    "magic",
    "MASS",
    "Rcpp",
    "RcppProgress",
    "robustbase",
    "sfsmisc"
  ],
  "_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"
    },
    {
      "shlib": "libmvec",
      "package": "libc6",
      "headers": "libc6-dev",
      "source": "glibc",
      "version": "2.43-2ubuntu2",
      "name": "glibc",
      "homepage": "https://www.gnu.org/software/libc/libc.html",
      "description": "GNU C Library: Shared libraries"
    }
  ],
  "_score": 4.830969654272615,
  "_indexed": false,
  "_nocasepkg": "ddalpha",
  "_universes": [
    "cran"
  ],
  "_indexurl": "https://pokotylo.r-universe.dev/ddalpha",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.3.16",
      "date": "2026-06-23T14:41:56.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "36b14b571620d9630e2520597c92efa5e2158e67",
      "fileid": "https://r2.ropensci.org/e2fd08ada664d252816d0564142e49c5ffb749cc34e021512ea480c5c2b3e039",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/28033882099"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.3.16",
      "date": "2026-06-23T14:41:31.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "36b14b571620d9630e2520597c92efa5e2158e67",
      "fileid": "https://r2.ropensci.org/2fe8e9cabe1b8e1d83d0de6b6aa2d6fc807681f5e7c0a19210946cd7a54fb1ea",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/28033882099"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.3.16",
      "date": "2026-06-23T14:41:45.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "36b14b571620d9630e2520597c92efa5e2158e67",
      "fileid": "https://r2.ropensci.org/6e68ee8417a14d0f67aa433d1633e8a905742f03bf10337c59dbb2b7d9768cbf",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/28033882099"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.3.16",
      "date": "2026-06-23T14:41:30.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "36b14b571620d9630e2520597c92efa5e2158e67",
      "fileid": "https://r2.ropensci.org/1f0e308788f0b91345cdd56475aaef2a18a58cfa3f98eb31f2a13fbdedbcf0b0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/28033882099"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.3.16",
      "date": "2026-06-23T14:42:23.000Z",
      "arch": "emscripten",
      "commit": "36b14b571620d9630e2520597c92efa5e2158e67",
      "fileid": "https://r2.ropensci.org/0e3c7aad8f7fbfee464c45a1be4799755cb614d9999075888a8df3bce16427cb",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/28033882099"
    }
  ]
}