TransformedFittedFunctionalModel.new: Helper Method to Create a Transformed Fitted Functional Model

In thomasWeise/regressoR.functional: An R Package for Fitting Functional Models to 2-Dimensional Data

Description

Always use this function to instantiate FittedFunctionalModel

Usage

TransformedFittedFunctionalModel.new(model, par, quality,
  transform.x = identity, transform.x.complexity = 0L,
  transform.y = identity, transform.y.complexity = 0L)

Arguments

model	the model FunctionalModel
par	the model parameters
quality	the quality of the model on the original data, computed by a quality metric, smaller values are better
transform.x	the input transformation to be applied to all x coordinates before feeding them to the parameterized blueprint function
transform.x.complexity	the transformation of the transform.x transformation
transform.y	the output transformation to be applied to all results of the blueprint function
transform.y.complexity	the transformation of the transform.y transformation

Value

an instance of either TransformedFittedFunctionalModel or FittedFunctionalModel

See Also

TransformedFittedFunctionalModel.finalized

thomasWeise/regressoR.functional documentation built on May 10, 2019, 10:24 a.m.