{
  "_id": "6a153ce7acfb0bcc41d5407f",
  "Package": "JSDNE",
  "Title": "Estimating the Age using Auricular Surface by DNE",
  "Version": "4.6",
  "Authors@R": "person(\"Jisun\", \"Jang\", email=\"jisun.jang.19@ucl.ac.uk\", role = c(\"aut\", \"cre\"))",
  "Maintainer": "Jisun Jang <jisun.jang.19@ucl.ac.uk>",
  "Description": "The age is estimated by calculating the Dirichlet Normal\nEnergy (DNE) on the whole auricular surface and the apex of the\nauricular surface. It involves three estimation methods:\nprincipal component discriminant analysis (PCQDA), and\nprincipal component logistic regression analysis (PCLR)\nmethods, principal component regression analysis with Southeast\nAsian (A_PCR), and principal component regression analysis with\nmultipopulation (M_PCR). The package is created with the data\nfrom the Louis Lopes Collection in Lisbon, the 21st Century\nIdentified Human Remains Collection in Coimbra, and the CAL\nMilano Cemetery Skeletal Collection in Milan, and the skeletal\ncollection at Khon Kaen University (KKU) Human Skeletal\nResearch Centre (HSRC), housed in the Department of Anatomy in\nthe Faculty of Medicine at KKU in Khon Kaen.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.1",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
  "Repository": "https://jisunjang19.r-universe.dev",
  "Date/Publication": "2025-11-27 06:44:01 UTC",
  "RemoteUrl": "https://github.com/jisunjang19/cran-jsdne",
  "RemoteRef": "HEAD",
  "RemoteSha": "a02022075739f9b96ad81216096e952c9e5d4029",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-26 06:19:24 UTC",
    "User": "root"
  },
  "Author": "Jisun Jang [aut, cre]",
  "MD5sum": "c522ad9b697b61c1ab2d8d8d76dfb091",
  "_user": "jisunjang19",
  "_type": "src",
  "_file": "JSDNE_4.6.tar.gz",
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  "_filesize": 1106188,
  "_sha256": "76dcb0843faca074628465ff923091a1419d3d175f3e5e71d90da6007169f8cd",
  "_created": "2026-05-26T06:19:24.000Z",
  "_published": "2026-05-26T06:25:43.745Z",
  "_distro": "noble",
  "_jobs": [
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  "_buildurl": "https://github.com/r-universe/jisunjang19/actions/runs/26435736767",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/jisunjang19/cran-jsdne",
  "_commit": {
    "id": "a02022075739f9b96ad81216096e952c9e5d4029",
    "author": "Jisun Jang <146486396+jisunjang19@users.noreply.github.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Add files via upload",
    "time": 1764225841
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  "_maintainer": {
    "name": "Jisun Jang",
    "email": "jisun.jang.19@ucl.ac.uk",
    "login": "jisunjang19",
    "description": "PhD student at University College London (UCL)",
    "uuid": 146486396
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  "_registered": true,
  "_dependencies": [
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    },
    {
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    },
    {
      "package": "molaR",
      "role": "Imports"
    },
    {
      "package": "nnet",
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    },
    {
      "package": "Rvcg",
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    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
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  "_owner": "jisunjang19",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-28",
      "n": 1
    },
    {
      "week": "2025-48",
      "n": 11
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  "_tags": [],
  "_stars": 0,
  "_contributors": [
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      "user": "jisunjang19",
      "count": 93,
      "uuid": 146486396
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  "_userbio": {
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    "type": "user",
    "name": "Jisun Jang",
    "description": "PhD student at University College London (UCL)"
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  "_downloads": {
    "count": 170,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/JSDNE"
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  "_devurl": "https://github.com/jisunjang19/cran-jsdne",
  "_searchresults": 6,
  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.json",
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  "_homeurl": "https://github.com/jisunjang19/cran-jsdne",
  "_realowner": "jisunjang19",
  "_cranurl": true,
  "_releases": [
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      "date": "2024-02-29"
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    {
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      "date": "2024-07-10"
    },
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      "date": "2024-09-05"
    },
    {
      "version": "4.5",
      "date": "2025-05-03"
    },
    {
      "version": "4.6",
      "date": "2025-11-27"
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  ],
  "_exports": [
    "A_PCR_result",
    "A_PCR_Test",
    "A_PCR_Train",
    "Distribution",
    "FirstObservation",
    "M_PCR_result",
    "M_PCR_Test",
    "M_PCR_Train",
    "MultiData",
    "PCLR_result",
    "PCLR_Test",
    "PCLR_Train",
    "PCQDA_result",
    "PCQDA_Test",
    "PCQDA_Train",
    "PCR_result",
    "PCR_Test",
    "PCR_Train",
    "RawData",
    "SecondObservation",
    "ThaiData",
    "TrendLine"
  ],
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      "name": "A_PCR_Test",
      "title": "A_PCR_Test",
      "object": "A_PCR_Test",
      "class": [
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      "fields": [
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        "MeanDNE.Apex",
        "Proportion.DNEunder0.0001",
        "Proportion.DNEover0.6",
        "IQRDNE.Whole"
      ],
      "rows": 66,
      "table": true,
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    },
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      "rows": 269,
      "table": true,
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    },
    {
      "name": "Apex",
      "title": "Surface mesh of apex of auricular surface.",
      "object": "Apex",
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      "fields": [],
      "table": false,
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      "fields": [
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        "Sex",
        "Population"
      ],
      "rows": 1225,
      "table": true,
      "tojson": true
    },
    {
      "name": "FirstObservation",
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      "fields": [
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      "title": "M_PCR_Train",
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    {
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      "table": true,
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    {
      "name": "ThaiData",
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      "object": "ThaiData",
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      "fields": [
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        "MedianDNE.Apex",
        "IQRDNE.Apex",
        "TotalDNE.TotalPolygonFaces",
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        "IQRDNE.Whole",
        "MeanDNE.Convex",
        "MeanDNE.Concave",
        "Proportion.DNEunder0.0001",
        "Proportion.DNEover0.6",
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        "PCR_pred",
        "PCLR_pred"
      ],
      "rows": 335,
      "table": true,
      "tojson": true
    },
    {
      "name": "TrendLine",
      "title": "TrendLine",
      "object": "TrendLine",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Age",
        "MeanDNE.Apex",
        "MedianDNE.Apex",
        "IQRDNE.Apex",
        "TotalDNE.TotalPolygonFaces",
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        "IQRDNE.Whole",
        "MeanDNE.Convex",
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        "Population"
      ],
      "rows": 1225,
      "table": true,
      "tojson": true
    },
    {
      "name": "WholeSurface",
      "title": "Surface mesh of whole auricular surface.",
      "object": "WholeSurface",
      "class": [
        "mesh3d"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "A_PCR_result",
      "title": "Estimating the age using A_PCR method",
      "topics": [
        "A_PCR_result"
      ]
    },
    {
      "page": "A_PCR_Test",
      "title": "A_PCR_Test",
      "topics": [
        "A_PCR_Test"
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    },
    {
      "page": "A_PCR_Train",
      "title": "A_PCR_Train",
      "topics": [
        "A_PCR_Train"
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    },
    {
      "page": "Apex",
      "title": "Surface mesh of apex of auricular surface.",
      "topics": [
        "Apex"
      ]
    },
    {
      "page": "Distribution",
      "title": "Distribution",
      "topics": [
        "Distribution"
      ]
    },
    {
      "page": "FirstObservation",
      "title": "FirstObservation",
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        "FirstObservation"
      ]
    },
    {
      "page": "M_PCR_result",
      "title": "Estimating the age using M_PCR method",
      "topics": [
        "M_PCR_result"
      ]
    },
    {
      "page": "M_PCR_Test",
      "title": "M_PCR_Train",
      "topics": [
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    {
      "page": "M_PCR_Train",
      "title": "M_PCR_Train",
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      ]
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    {
      "page": "MultiData",
      "title": "MultiData",
      "topics": [
        "MultiData"
      ]
    },
    {
      "page": "PCLR_result",
      "title": "Estimating the age using DNE_PCLR method",
      "topics": [
        "PCLR_result"
      ]
    },
    {
      "page": "PCLR_Test",
      "title": "PCLR_Test",
      "topics": [
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      "title": "PCLR_Train",
      "topics": [
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    {
      "page": "PCQDA_result",
      "title": "Estimating the age using DNE_PCQDA method",
      "topics": [
        "PCQDA_result"
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    {
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      "title": "PCQDA_Test",
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      "title": "PCQDA_Train",
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    {
      "page": "PCR_result",
      "title": "Estimating the age using PCR method",
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        "PCR_result"
      ]
    },
    {
      "page": "PCR_Test",
      "title": "PCR_Test",
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      "page": "PCR_Train",
      "title": "PCR_Train",
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    {
      "page": "RawData",
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        "RawData"
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    },
    {
      "page": "SecondObservation",
      "title": "SecondObservation",
      "topics": [
        "SecondObservation"
      ]
    },
    {
      "page": "ThaiData",
      "title": "ThaiData",
      "topics": [
        "ThaiData"
      ]
    },
    {
      "page": "TrendLine",
      "title": "TrendLine",
      "topics": [
        "TrendLine"
      ]
    },
    {
      "page": "WholeSurface",
      "title": "Surface mesh of whole auricular surface.",
      "topics": [
        "WholeSurface"
      ]
    }
  ],
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    "sgeostat",
    "sp",
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  "_vignettes": [
    {
      "source": "introduction.Rmd",
      "filename": "introduction.html",
      "title": "introduction",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Abstract",
        "Introduction",
        "Datasets in the JSDNE package",
        "'PCQDA_Train'",
        "'PCQDA_Test'",
        "'PCLR_Train'",
        "'PCLR_Test'",
        "'PCR_Train'",
        "'PCR_Test'",
        "'A_PCR_Train'",
        "'A_PCR_Test'",
        "'M_PCR_Train'",
        "'M_PCR_Test'",
        "Materials",
        "Methods",
        "Results",
        "Accuracy, bias, and the average absolute deviation",
        "Summary of the Results of PCQDA model with Euroepan sample",
        "Summary of the Results of PCLR model with Euroepan sample",
        "Summary of the Results of PCR model with Euroepan sample",
        "Summary of the Results of A_PCR model with Southeast sample",
        "Summary of the Results of M_PCR model with Multipopulational samples",
        "Conclusion",
        "Acknowledgements",
        "Code Summary",
        "PCQDA_result()",
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