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  "Package": "ppwdeming",
  "Version": "3.0.2",
  "Date": "2026-7-23",
  "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. The following reference provides further\ninformation on mathematical derivations and applications.\nHawkins, D.M., and J.J. Kraker (2026). 'Precision Profile\nWeighted Deming Regression for Methods Comparison'. The Journal\nof Applied Laboratory Medicine 11, 379-392\n<doi:10.1093/jalm/jfaf183>. Weighted Deming regression is also\nnow implemented for multiple instruments , as set out in\nHawkins, D.M., and J.J. Kraker (2026). 'Multiple Instrument\nMethods Comparison by Precision weighted Deming Regression', on\nArxiv <doi:10.48550/arXiv.2607.11776>. The “multi” functions\nrefer to the multiple instrument analysis, and the \"PWD\"\nfunctions refer to the two-instrument.",
  "License": "GPL (>= 3)",
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    "User": "root"
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  "Date/Publication": "2026-07-23 14:39:40 UTC",
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    "multi_PWD",
    "multi_PWD_inf",
    "multi_PWD_inner",
    "multi_PWD_out",
    "PWD_get_gh",
    "PWD_inference",
    "PWD_known",
    "PWD_outlier",
    "PWD_resi",
    "PWD_RL",
    "WD_General",
    "WD_Linnet"
  ],
  "_help": [
    {
      "page": "multi_PWD",
      "title": "Multiple Instrument Weighted Deming Regression",
      "topics": [
        "multi_PWD"
      ]
    },
    {
      "page": "multi_PWD_inf",
      "title": "Jack-knife inference on the parameters of the Multiple Instrument fit",
      "topics": [
        "multi_PWD_inf"
      ]
    },
    {
      "page": "multi_PWD_inner",
      "title": "Multiple Instrument Parameter Estimation from rho",
      "topics": [
        "multi_PWD_inner"
      ]
    },
    {
      "page": "multi_PWD_out",
      "title": "Locate and test for outliers of the fit",
      "topics": [
        "multi_PWD_out"
      ]
    },
    {
      "page": "PWD_get_gh",
      "title": "Estimate of Variance Profile Functions (proportional)",
      "topics": [
        "PWD_get_gh"
      ]
    },
    {
      "page": "PWD_inference",
      "title": "Precision-Profile Weighted Deming Regression - Inference",
      "topics": [
        "PWD_inference"
      ]
    },
    {
      "page": "PWD_known",
      "title": "Weighted Deming Regression - general weights",
      "topics": [
        "PWD_known"
      ]
    },
    {
      "page": "PWD_outlier",
      "title": "Weighted Deming Regression - Outlier scanning",
      "topics": [
        "PWD_outlier"
      ]
    },
    {
      "page": "PWD_resi",
      "title": "Fit Rocke-Lorenzato profile model to residuals",
      "topics": [
        "PWD_resi"
      ]
    },
    {
      "page": "PWD_RL",
      "title": "Weighted Deming - Rocke-Lorenzato - known sigma, kappa",
      "topics": [
        "PWD_RL"
      ]
    },
    {
      "page": "summary.pwdgetgh",
      "title": "Summary information of output from 'PWD_get_gh' or 'multi_PWD'",
      "topics": [
        "summary.pwdgetgh"
      ]
    },
    {
      "page": "summary.pwdinf",
      "title": "Summary information of output from 'PWD_inference' or 'multiPWD_inf'",
      "topics": [
        "summary.pwdinf"
      ]
    },
    {
      "page": "summary.pwdknown",
      "title": "Summary information of output from 'PWD_known'",
      "topics": [
        "summary.pwdknown"
      ]
    },
    {
      "page": "summary.pwdout",
      "title": "Summary information of output from 'PWD_outlier' or 'multi_PWD_out'",
      "topics": [
        "summary.pwdout"
      ]
    },
    {
      "page": "summary.pwdresi",
      "title": "Summary information of output from 'PWD_resi'",
      "topics": [
        "summary.pwdresi"
      ]
    },
    {
      "page": "WD_General",
      "title": "Weighted Deming Regression",
      "topics": [
        "WD_General"
      ]
    },
    {
      "page": "WD_Linnet",
      "title": "Linnet proportional CV weighted Deming",
      "topics": [
        "WD_Linnet"
      ]
    }
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