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  "Package": "biwt",
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  "Title": "Functions to Compute the Biweight Mean Vector and Covariance and\nCorrelation Matrices",
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  "Authors@R": "c(\nperson(given = \"Johanna\", family = \"Hardin\", email = \"jo.hardin@pomona.edu\", role = c(\"aut\", \"cre\")))",
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  "Description": "The base functions compute multivariate location, scale,\nand correlation estimates based on Tukey's biweight\nM-estimator.  Using the base function, the computations can be\napplied to a large number of observations to create either a\nmatrix of biweight distances or biweight correlations.",
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  "Encoding": "UTF-8",
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      "title": "A function to compute the biweight mean vector and covariance matrix",
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        "biwt_cor"
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      "title": "A function to compute the biweight mean vector and covariance matrix",
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      "title": "A function to compute the biweight mean vector and covariance matrix",
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      ]
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      "title": "A function to compute the biweight mean vector and covariance matrix",
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        "biwt_est"
      ]
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      "page": "biwt.cor",
      "title": "A function to compute the biweight mean vector and covariance matrix",
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        "biwt.cor"
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    },
    {
      "page": "biwt.est",
      "title": "A function to compute the biweight mean vector and covariance matrix",
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        "biwt.est"
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      "headings": [
        "Introduction",
        "biwt package functions",
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        "biwt.est()",
        "biwt.est(x, r = 0.2, med.init = covMcd(x))",
        "biwt_est()",
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        "biwt_dist_matrix(x, r, median = TRUE, full.init = TRUE, absval = TRUE)",
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        "Pearson Correlation",
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        "Comparison of Biweight and Pearson correlation on contaminated data",
        "Simulation Study",
        "Example #1: breakdown > contamination, 20% compressed contamination",
        "Example #2: breakdown > contamination, 20% diffuse contamination",
        "Example #3: breakdown < contamination, 40% compressed contamination",
        "Example #4: low population correlation parameter of 0.1, 20% compressed contamination",
        "Presidential Candidate Voting Data",
        "Dendrograms",
        "Biweight dendrogram",
        "Euclidean dendrogram",
        "Pearson dendrogram",
        "Heatmaps",
        "Biweight Heatmap",
        "Euclidean Heatmap",
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