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  "Date": "2026-02-26",
  "Title": "Multivariate Outlier Detection Based on Robust Methods",
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  "Author": "Peter Filzmoser [aut, cre]",
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  "Description": "Various methods for multivariate outlier detection: arw, a\nMahalanobis-type method with an adaptive outlier cutoff value;\nlocout, a method incorporating local neighborhood; pcout, a\nmethod for high-dimensional data; mvoutlier.CoDa, a method for\ncompositional data. References are provided in the\ncorresponding help files.",
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      "title": "Adjusted Quantile Plot",
      "topics": [
        "aq.plot"
      ]
    },
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      "page": "arw",
      "title": "Adaptive reweighted estimator for multivariate location and scatter",
      "topics": [
        "arw"
      ]
    },
    {
      "page": "bhorizon",
      "title": "B-horizon of the Kola Data",
      "topics": [
        "bhorizon"
      ]
    },
    {
      "page": "bss.background",
      "title": "Background map for the BSS project",
      "topics": [
        "bss.background"
      ]
    },
    {
      "page": "bssbot",
      "title": "Bottom Layer of the BSS Data",
      "topics": [
        "bssbot"
      ]
    },
    {
      "page": "bsstop",
      "title": "Top Layer of the BSS Data",
      "topics": [
        "bsstop"
      ]
    },
    {
      "page": "chisq.plot",
      "title": "Chi-Square Plot",
      "topics": [
        "chisq.plot"
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    {
      "page": "chorizon",
      "title": "C-horizon of the Kola Data",
      "topics": [
        "chorizon"
      ]
    },
    {
      "page": "color.plot",
      "title": "Color Plot",
      "topics": [
        "color.plot"
      ]
    },
    {
      "page": "cor.plot",
      "title": "Correlation Plot: robust versus classical bivariate correlation",
      "topics": [
        "corr.plot"
      ]
    },
    {
      "page": "dat",
      "title": "Data of illustrative example in paper (see below)",
      "topics": [
        "dat"
      ]
    },
    {
      "page": "dd.plot",
      "title": "Distance-Distance Plot",
      "topics": [
        "dd.plot"
      ]
    },
    {
      "page": "humus",
      "title": "Humus Layer (O-horizon) of the Kola Data",
      "topics": [
        "humus"
      ]
    },
    {
      "page": "kola.background",
      "title": "Background map for the Kola project",
      "topics": [
        "kola.background"
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    {
      "page": "locoutNeighbor",
      "title": "Diagnostic plot for identifying local outliers with varying size of neighborhood",
      "topics": [
        "locoutNeighbor"
      ]
    },
    {
      "page": "locoutPercent",
      "title": "Diagnostic plot for identifying local outliers with fixed size of neighborhood",
      "topics": [
        "locoutPercent"
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      "page": "locoutSort",
      "title": "Interactive diagnostic plot for identifying local outliers",
      "topics": [
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      "page": "map.plot",
      "title": "Plot Multivariate Outliers in a Map",
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      "title": "Moss Layer of the Kola Data",
      "topics": [
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    },
    {
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      "title": "Interpreting multivatiate outliers of CoDa",
      "topics": [
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      "page": "pbb",
      "title": "BSS background Plot",
      "topics": [
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    },
    {
      "page": "pcout",
      "title": "PCOut Method for Outlier Identification in High Dimensions",
      "topics": [
        "pcout"
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    },
    {
      "page": "pkb",
      "title": "Kola background Plot",
      "topics": [
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    {
      "page": "plot.mvoutlierCoDa",
      "title": "Plots for interpreting multivatiate outliers of CoDa",
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      "title": "Sign Method for Outlier Identification in High Dimensions - Simple Version",
      "topics": [
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