{
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  "Package": "ICSOutlier",
  "Type": "Package",
  "Title": "Outlier Detection Using Invariant Coordinate Selection",
  "Version": "0.4-1",
  "Date": "2025-08-28",
  "Authors@R": "c(person(\"Klaus\", \"Nordhausen\",\nemail = \"klausnordhausenR@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-3758-8501\")),\nperson(\"Aurore\", \"Archimbaud\",\nemail = \"aurore.archimbaud@live.fr\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-6511-9091\")),\nperson(\"Anne\", \"Ruiz-Gazen\",\nemail = \"anne.ruiz-gazen@tse-fr.eu\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0001-8970-8061\")))",
  "Author": "Klaus Nordhausen [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-3758-8501>), Aurore Archimbaud\n[aut] (ORCID: <https://orcid.org/0000-0002-6511-9091>), Anne\nRuiz-Gazen [aut] (ORCID:\n<https://orcid.org/0000-0001-8970-8061>)",
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  "Description": "Multivariate outlier detection is performed using\ninvariant coordinates where the package offers different\nmethods to choose the appropriate components. ICS is a general\nmultivariate technique with many applications in multivariate\nanalysis. ICSOutlier offers a selection of functions for\nautomated detection of outliers in the data based on a fitted\nICS object or by specifying the dataset and the scatters of\ninterest. The current implementation targets data sets with\nonly a small percentage of outliers.",
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      "title": "Outlier Detection Using Invariant Coordinate Selection",
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        "ICSOutlier-package",
        "ICSOutlier"
      ]
    },
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      "title": "Selection of Nonnormal Invariant Components Using Marginal Normality Tests",
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    {
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      "title": "Selection of Nonnormal Invariant Components Using Simulations",
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      "title": "Cut-Off Values Using Simulations for the Detection of Extreme ICS Distances",
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      "title": "Outlier Detection Using ICS",
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      "title": "Squared ICS Distances for Invariant Coordinates",
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      "title": "Class icsOut",
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        "summary.ICS_Out"
      ]
    },
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      "page": "summary.icsOut",
      "title": "Summarize a icsOut object",
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        "summary.icsOut"
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