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  "Date": "2025-04-07",
  "Title": "Finding the Number of Significant Principal Components",
  "Authors@R": "c(person(given = \"Min\", family = \"Wang\", role = \"aut\"),\nperson(given = c(\"Kevin\", \"R.\"), family = \"Coombes\",\nrole = c(\"aut\", \"cre\"), email = \"krc@silicovore.com\"))",
  "Description": "Implements methods to automate the Auer-Gervini graphical\nBayesian approach for determining the number of significant\nprincipal components. Automation uses clustering, change\npoints, or simple statistical models to distinguish \"long\" from\n\"short\" steps in a graph showing the posterior number of\ncomponents as a function of a prior parameter. See\n<doi:10.1101/237883>.",
  "License": "Apache License (== 2.0)",
  "biocViews": "Clustering",
  "URL": "http://oompa.r-forge.r-project.org/",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-28 09:43:44 UTC",
    "User": "root"
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  "Author": "Min Wang [aut], Kevin R. Coombes [aut, cre]",
  "Maintainer": "Kevin R. Coombes <krc@silicovore.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-04-07 22:20:02 UTC",
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      "package": "graphics",
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      "package": "oompaBase",
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    "extra/citation.json",
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  "_exports": [
    "agDimCPT",
    "agDimension",
    "agDimKmeans",
    "agDimKmeans3",
    "agDimSpectral",
    "agDimTtest",
    "agDimTtest2",
    "agDimTwiceMean",
    "AuerGervini",
    "brokenStick",
    "bsDimension",
    "compareAgDimMethods",
    "makeAgCpmFun",
    "rndLambdaF"
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      "title": "Sample PCA Dataset",
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      "file": "spca.rda",
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      ],
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    {
      "page": "agfun",
      "title": "Divide Steps into \"Long\" and \"Short\" to Compute Auer-Gervini Dimension",
      "topics": [
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        "agDimFunction",
        "agDimKmeans",
        "agDimKmeans3",
        "agDimSpectral",
        "agDimTtest",
        "agDimTtest2",
        "agDimTwiceMean",
        "makeAgCpmFun"
      ]
    },
    {
      "page": "AuerGervini-class",
      "title": "Estimating Number of Principal Components Using the Auer-Gervini Method",
      "topics": [
        "agDimension",
        "AuerGervini",
        "AuerGervini-class",
        "PCDimension",
        "plot,AuerGervini,missing-method",
        "summary,AuerGervini-method"
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      "title": "The Broken Stick Method",
      "topics": [
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        "bsDimension"
      ]
    },
    {
      "page": "compare",
      "title": "Compare Methods to Divide Steps into \"Long\" and \"Short\"",
      "topics": [
        "compareAgDimMethods"
      ]
    },
    {
      "page": "rndLambdaF",
      "title": "Principal Component Statistics Based on Randomization",
      "topics": [
        "rndLambdaF"
      ]
    },
    {
      "page": "spca-data",
      "title": "Sample PCA Dataset",
      "topics": [
        "spca",
        "spca-data"
      ]
    }
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