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  "Title": "Location and Scale Invariant Power Transformations",
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  "Description": "Location- and scale-invariant Box-Cox and Yeo-Johnson\npower transformations allow for transforming variables with\ndistributions distant from 0 to normality. Transformers are\nimplemented as S4 objects. These allow for transforming new\ninstances to normality after optimising fitting parameters on\nother data. A test for central normality allows for rejecting\ntransformations that fail to produce a suitably normal\ndistribution, independent of sample number.",
  "URL": "https://github.com/oncoray/power.transform",
  "BugReports": "https://github.com/oncoray/power.transform/issues",
  "License": "EUPL",
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  "Collate": "'TransformationObjects.R' 'TransformationYeoJohnson.R'\n'TransformationBoxCox.R' 'AccessorsMutatorsLambda.R'\n'AccessorsMutatorsScale.R' 'AccessorsMutatorsShift.R'\n'AccessorsTransformationMethod.R' 'Checks.R' 'FindParameters.R'\n'GoodnessOfFit.R' 'ParameterEstimators.R'\n'ParameterEstimatorEDF.R' 'ParameterEstimatorMLE.R'\n'ParameterEstimatorRaymaekers.R'\n'ParameterEstimatorSkewnessKurtosis.R' 'PlotQQPlot.R'\n'PlotResidualPlot.R' 'PlotUtilities.R'\n'TransformationSkeleton.R' 'Utilities.R' 'WeightingFunctions.R'\n'WeightingFunctionParameters.R' 'aaa.R'\n'power.transform-package.R'",
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  "Date/Publication": "2026-03-02 07:50:36 UTC",
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    "plot_qq_plot",
    "plot_residual_plot",
    "power_transform",
    "ragn",
    "revert_power_transform",
    "set_lambda",
    "set_scale",
    "set_shift"
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      "title": "Assess normality of transformed data",
      "topics": [
        "assess_transformation"
      ]
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      "title": "Create transformation object skeleton",
      "topics": [
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      ]
    },
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      ]
    },
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      "title": "Set transformation parameters",
      "topics": [
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      ]
    },
    {
      "page": "lambda-accessor-method",
      "title": "Get lambda value",
      "topics": [
        "get_lambda",
        "get_lambda,transformationBoxCox-method",
        "get_lambda,transformationPowerTransform-method",
        "get_lambda,transformationYeoJohnson-method"
      ]
    },
    {
      "page": "get_residuals",
      "title": "Compute residuals of transformation to normality",
      "topics": [
        "get_residuals"
      ]
    },
    {
      "page": "scale-accessor-method",
      "title": "Get scale value",
      "topics": [
        "get_scale",
        "get_scale,transformationBoxCox-method",
        "get_scale,transformationPowerTransform-method",
        "get_scale,transformationYeoJohnson-method"
      ]
    },
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      "title": "Get shift value",
      "topics": [
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        "get_shift,transformationBoxCox-method",
        "get_shift,transformationPowerTransform-method",
        "get_shift,transformationYeoJohnson-method"
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    },
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      "page": "transformation-method-accessor-method",
      "title": "Get transformation method",
      "topics": [
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        "get_transformation_method,transformationPowerTransform-method"
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      "topics": [
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      ]
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      "topics": [
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      "page": "power_transform",
      "title": "Transform values",
      "topics": [
        "power_transform"
      ]
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        "power.transform"
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