{
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  "Version": "1.1.3",
  "Date": "2025-5-11",
  "Authors@R": "c(person(\"William\", \"Ryan\", role = c(\"aut\", \"cre\", \"cph\"), email = \"wryan1@binghamton.edu\"),\nperson(\"Bruce\", \"White\", role = \"ths\"),\nperson(\"Brian\", \"Ripley\", role = c(\"ctb\", \"cph\"),\ncomment = \"Wrote 'MASS' rlm() code upon which complexlm rlm() is based\"),\nperson(\"Bill\", \"Venables\", role = \"ctb\",\ncomment = \"Wrote 'MASS' rlm() code upon which complexlm rlm() is based\"),\nperson(\"John\", \"Maindonald\", role = \"ctb\",\ncomment = \"Wrote plot.lm() on which plot.zlm() is based\"),\nperson(\"Martin\", \"Maechler\", role = \"ctb\",\ncomment = \"Wrote plot.lm() on which plot.zlm() is based\"),\nperson(\"R Core\", \"Team\", role = c(\"ctb\", \"cph\"),\ncomment = \"Several functions in 'complexlm' are based on similar functions in 'base' or 'stats'\"))",
  "Description": "Tools for linear fitting with complex variables. Includes\nordinary least-squares (zlm()) and robust M-estimation\n(rzlm()), and complex methods for oft used generics. Originally\nadapted from the rlm() functions of 'MASS' and the lm()\nfunctions of 'stats'.",
  "Title": "Linear Fitting for Complex Valued Data",
  "LazyData": "yes",
  "ByteCompile": "yes",
  "License": "GPL-2 | GPL-3",
  "URL": "https://github.com/QuantumOfMoose/complexlm",
  "Contact": "<wryan1@binghamton.edu>",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-11 10:05:10 UTC",
    "User": "root"
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  "Author": "William Ryan [aut, cre, cph], Bruce White [ths], Brian Ripley\n[ctb, cph] (Wrote 'MASS' rlm() code upon which complexlm rlm()\nis based), Bill Venables [ctb] (Wrote 'MASS' rlm() code upon\nwhich complexlm rlm() is based), John Maindonald [ctb] (Wrote\nplot.lm() on which plot.zlm() is based), Martin Maechler [ctb]\n(Wrote plot.lm() on which plot.zlm() is based), R Core Team\n[ctb, cph] (Several functions in 'complexlm' are based on\nsimilar functions in 'base' or 'stats')",
  "Maintainer": "William Ryan <wryan1@binghamton.edu>",
  "Roxygen": "list(markdown = TRUE)",
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  "Repository": "https://quantumofmoose.r-universe.dev",
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  "_tags": [],
  "_topics": [
    "complex-numbers",
    "fitting",
    "linear-models",
    "linear-regression",
    "robust-statistics",
    "statistics"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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      "date": "2023-06-12"
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    "anova.zlm",
    "complexdqlrs",
    "cor",
    "cov",
    "lm",
    "lm.fit",
    "lm.wfit",
    "mad",
    "mahalanobis",
    "matrixweave",
    "median.complex",
    "psi.bisquare",
    "psi.hampel",
    "psi.huber",
    "range",
    "rlm",
    "summary.zlm",
    "var",
    "vcov.zlm",
    "wmedian",
    "zhatvalues",
    "zlm.wfit",
    "zmodel.matrix"
  ],
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    {
      "name": "CuHallData",
      "title": "AC (Complex) Hall effect data measured from a thin-film copper sample.",
      "object": "CuHallData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Temperature.K.",
        "Magnet.Field.Frequency.Hz.",
        "Magnetic.Field.T",
        "Contact.Arangement",
        "Curent.Set.A.",
        "Curent.In.meas.A.",
        "Curent.Out.meas.A.",
        "Source.V.V.",
        "OutputV",
        "Curent.leak",
        "Resistivity.Ohm.cm",
        "thickness.cm."
      ],
      "rows": 240,
      "table": true,
      "tojson": true
    }
  ],
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    {
      "page": "anova.zlm",
      "title": "ANOVA for Complex Linear Fits",
      "topics": [
        "anova.zlm",
        "anova.zlmlist"
      ]
    },
    {
      "page": "complexdqlrs",
      "title": "An alternative to .Call(C_Cdqlrs, x * wts, y * wts, tol, FALSE)) that is compatible with complex variables",
      "topics": [
        "complexdqlrs"
      ]
    },
    {
      "page": "cooks.distance.zlm",
      "title": "Cook's Distance for Complex Linear Models",
      "topics": [
        "cooks.distance.zlm"
      ]
    },
    {
      "page": "cov",
      "title": "Variance, Covariance, and Correlation for Complex Data",
      "topics": [
        "cor",
        "cov",
        "var"
      ]
    },
    {
      "page": "CuHallData",
      "title": "AC (Complex) Hall effect data measured from a thin-film copper sample.",
      "topics": [
        "CuHallData"
      ]
    },
    {
      "page": "lm",
      "title": "Linear Model Fitting for Complex or Numeric Variables",
      "topics": [
        "lm"
      ]
    },
    {
      "page": "lm.fit",
      "title": "Complex Variable Compatible Wrappers for 'stats::lm.fit()' and 'stats::lm.wfit()'",
      "topics": [
        "lm.fit",
        "lm.wfit"
      ]
    },
    {
      "page": "mad",
      "title": "Median Absolute Deviation, compatible with complex variables",
      "topics": [
        "mad"
      ]
    },
    {
      "page": "mahalanobis",
      "title": "Mahalanobis Distance, with better complex behavior",
      "topics": [
        "mahalanobis"
      ]
    },
    {
      "page": "matrixweave",
      "title": "Combine covariance matrix and pseudo covariance matrix into a \"double covariance matrix\"",
      "topics": [
        "matrixweave"
      ]
    },
    {
      "page": "median.complex",
      "title": "Improved Median for Complex Numbers",
      "topics": [
        "median.complex"
      ]
    },
    {
      "page": "plot.zlm",
      "title": "Plot Diagnostics for a Complex Linear Model Objects",
      "topics": [
        "plot.zlm"
      ]
    },
    {
      "page": "psi.huber",
      "title": "Weighting functions for robust fitting",
      "topics": [
        "psi.bisquare",
        "psi.hampel",
        "psi.huber"
      ]
    },
    {
      "page": "range",
      "title": "Range For Complex Objects",
      "topics": [
        "range"
      ]
    },
    {
      "page": "rlm",
      "title": "Robust Fitting of Linear Models, Compatible with Complex Variables",
      "topics": [
        "rlm",
        "rlm.complex",
        "rlm.formula"
      ]
    },
    {
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      "title": "Standardized Residuals from Ordinary or Robust Linear fits with Complex Variables",
      "topics": [
        "rstandard.zlm"
      ]
    },
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      "page": "summary.complex",
      "title": "summary method for complex objects",
      "topics": [
        "summary.complex"
      ]
    },
    {
      "page": "summary.rzlm",
      "title": "Summary Method for Robust Linear Models",
      "topics": [
        "summary.rzlm"
      ]
    },
    {
      "page": "summary.zlm",
      "title": "Summarize Complex Linear Model Fits.",
      "topics": [
        "print.summary.zlm",
        "summary.zlm"
      ]
    },
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      "title": "Calculate Variance-Covariance Matrix and Pseudo Variance-Covariance Matrix for a Complex Fitted Model Object",
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        "vcov.rzlm"
      ]
    },
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      "title": "Calculate Variance-Covariance Matrix and Pseudo Variance-Covariance Matrix for a Complex Fitted Model Object",
      "topics": [
        ".vcov.aliased.complex",
        "vcov.zlm"
      ]
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      ]
    },
    {
      "page": "zhatvalues",
      "title": "Generate the Hat Matrix or Leverage Scores of a Complex Linear Model",
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    {
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      "title": "Generate a Model Matrix (Design Matrix) Using Complex Variables",
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      ]
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