regressoR.loess: Apply Local Polynomial Regression Fitting a given Dataset

In thomasWeise/regressoR.splines: An R Package for two-dimensional Regression using Splines

Description

Local Polynomial Regression Fitting is applied to the given dataset.

Usage

regressoR.loess(metric, transformation.x = NULL, transformation.y = NULL,
  metric.transformed = NULL, protected = TRUE, ...)

Arguments

metric	an instance of RegressionQualityMetric
transformation.x	the transformation along the x-axis, or NULL if none was applied to the data
transformation.y	the transformation along the y-axis, or NULL if none was applied to the data
metric.transformed	the transformed metric for the first fitting step
protected	should the function be limited to the range of values actually ocurring in the data?
...	parameters to be passed to loess

Value

On success, an instance of FittedSplineModel, NULL on failure.

thomasWeise/regressoR.splines documentation built on May 23, 2019, 1:13 p.m.