{
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  "Package": "whitening",
  "Version": "1.4.0",
  "Date": "2022-06-07",
  "Title": "Whitening and High-Dimensional Canonical Correlation Analysis",
  "Author": "Korbinian Strimmer, Takoua Jendoubi, Agnan Kessy, Alex Lewin",
  "Maintainer": "Korbinian Strimmer <strimmerlab@gmail.com>",
  "Description": "Implements the whitening methods (ZCA, PCA, Cholesky,\nZCA-cor, and PCA-cor) discussed in Kessy, Lewin, and Strimmer\n(2018) \"Optimal whitening and decorrelation\",\n<doi:10.1080/00031305.2016.1277159>, as well as the whitening\napproach to canonical correlation analysis allowing negative\ncanonical correlations described in Jendoubi and Strimmer\n(2019) \"A whitening approach to probabilistic canonical\ncorrelation analysis for omics data integration\",\n<doi:10.1186/s12859-018-2572-9>. The package also offers\nfunctions to simulate random orthogonal matrices, compute\n(correlation) loadings and explained variation. It also\ncontains four example data sets (extended UCI wine data, TCGA\nLUSC data, nutrimouse data, extended pitprops data).",
  "License": "GPL (>= 3)",
  "URL": "https://strimmerlab.github.io/software/whitening/",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 08:12:53 UTC",
    "User": "root"
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-06-07 11:20:02 UTC",
  "RemoteUrl": "https://github.com/cran/whitening",
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    "message": "version 1.4.0\n",
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    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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    "count": 752,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/whitening"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
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    "manual.pdf"
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  "_realowner": "cran",
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  "_releases": [
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      "date": "2018-03-06"
    },
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      "date": "2018-07-14"
    },
    {
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      "date": "2021-11-07"
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    "cca",
    "corplot",
    "explainedVariation",
    "loadplot",
    "scca",
    "simOrtho",
    "whiten",
    "whiteningCrossCov",
    "whiteningLoadings",
    "whiteningMatrix"
  ],
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      "name": "forina1986",
      "title": "Forina 1986 Wine Data - Extended UCI Wine Data",
      "object": "forina1986",
      "file": "forina1986.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
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      "name": "lusc",
      "title": "TCGA LUSC Data",
      "object": "lusc",
      "file": "lusc.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "nutrimouse",
      "title": "Nutrimouse Data",
      "object": "nutrimouse",
      "file": "nutrimouse.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "pitprops14",
      "title": "Pitprops Correlation Data for 14 Variables",
      "object": "pitprops14",
      "file": "pitprops14.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "topdiam",
        "length",
        "moist",
        "testsg",
        "ovensg",
        "ringtop",
        "ringbut",
        "bowmax",
        "bowdist",
        "whorls",
        "clear",
        "knots",
        "diaknot",
        "maxcs"
      ],
      "rows": 14,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "whitening.package",
      "title": "The whitening Package",
      "topics": [
        "whitening-package"
      ]
    },
    {
      "page": "corplot",
      "title": "Plots of Correlations and Loadings",
      "topics": [
        "corplot",
        "loadplot"
      ]
    },
    {
      "page": "explainedVariation",
      "title": "Compute Explained Variation from Loadings",
      "topics": [
        "explainedVariation"
      ]
    },
    {
      "page": "forina1986",
      "title": "Forina 1986 Wine Data - Extended UCI Wine Data",
      "topics": [
        "forina1986"
      ]
    },
    {
      "page": "lusc",
      "title": "TCGA LUSC Data",
      "topics": [
        "lusc"
      ]
    },
    {
      "page": "nutrimouse",
      "title": "Nutrimouse Data",
      "topics": [
        "nutrimouse"
      ]
    },
    {
      "page": "pitprops14",
      "title": "Pitprops Correlation Data for 14 Variables",
      "topics": [
        "pitprops14"
      ]
    },
    {
      "page": "scca",
      "title": "Perform Canonical Correlation Analysis",
      "topics": [
        "cca",
        "scca"
      ]
    },
    {
      "page": "simOrtho",
      "title": "Simulate Random Orthogonal Matrix",
      "topics": [
        "simOrtho"
      ]
    },
    {
      "page": "whiten",
      "title": "Whiten Data Matrix",
      "topics": [
        "whiten"
      ]
    },
    {
      "page": "whiteningLoadings",
      "title": "Compute Whitening Loadings",
      "topics": [
        "whiteningLoadings"
      ]
    },
    {
      "page": "whiteningMatrix",
      "title": "Compute Whitening Matrix",
      "topics": [
        "whiteningMatrix"
      ]
    }
  ],
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