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  "Package": "ppwdeming",
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  "Date": "2026-3-18",
  "Title": "Precision Profile Weighted Deming Regression",
  "Authors@R": "c(person(\"Douglas M.\", \"Hawkins\", role = c(\"aut\", \"cph\")),\nperson(\"Jessica J.\", \"Kraker\", role = c(\"aut\", \"cre\"),\nemail = \"krakerjj@uwec.edu\"))",
  "Author": "Douglas M. Hawkins [aut, cph], Jessica J. Kraker [aut, cre]",
  "Maintainer": "Jessica J. Kraker <krakerjj@uwec.edu>",
  "Description": "Weighted Deming regression, also known as\n'errors-in-variable' regression, is applied with suitable\nweights. Weights are modeled via a precision profile; thus the\nmethods implemented here are referred to as precision profile\nweighted Deming (PWD) regression. The package covers two\nsettings – one where the precision profiles are known either\nfrom external studies or from adequate replication of the X and\nY readings, and one in which there is a plausible functional\nform for the precision profiles but the exact (unknown)\nfunction must be estimated from the (generally singlicate)\nreadings. The function set includes tools for: estimated\nstandard errors (via jackknifing); standardized-residual\nanalysis function with regression diagnostic tools for\nnormality, linearity and constant variance; and an outlier\nanalysis identifying significant outliers for closer\ninvestigation. Weighted Deming regression is also now\nimplemented for multiple instruments. The following reference\nprovides further information on mathematical derivations and\napplications. Hawkins, D.M., and J.J. Kraker (2026). 'Precision\nProfile Weighted Deming Regression for Methods Comparison'. The\nJournal of Applied Laboratory Medicine 11, 379-392\n<doi:10.1093/jalm/jfaf183>.",
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    "WD_General",
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      "page": "PWD_get_gh",
      "title": "Estimate of Variance Profile Functions (proportional)",
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      "title": "Weighted Deming Regression - Inference",
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      "title": "Weighted Deming Regression - general weights",
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        "PWD_known"
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    },
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      "title": "Weighted Deming Regression - Outlier scanning",
      "topics": [
        "PWD_outlier"
      ]
    },
    {
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      "title": "Fit Rocke-Lorenzato profile model to residuals",
      "topics": [
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      ]
    },
    {
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      "title": "Weighted Deming - Rocke-Lorenzato - known sigma, kappa",
      "topics": [
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      ]
    },
    {
      "page": "WD_General",
      "title": "Weighted Deming Regression",
      "topics": [
        "WD_General"
      ]
    },
    {
      "page": "WD_Linnet",
      "title": "Linnet proportional CV weighted Deming",
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