predict.fk_regression

an object of class fk_regression, output from the function of the same name.

object

(optional) vector of evaluation/test points. If omitted then the fitted values at the original sample are returned.

xtest

(optional) further arguments passed to or from other methods.

Predict method for kernel regression. Evaluates the fitted regression function at a set of evaluation/test points

file

Implements the method of Hofmeyr, D.P. (2019) <DOI:10.1109/TPAMI.2019.2930501> for fast evaluation of univariate kernel smoothers based on recursive computations.
Applications to the basic problems of density and regression function estimation are provided, as well as some projection pursuit methods
for which the objective is based on non-parametric functionals of the projected density, or conditional density of a response given projected
covariates.

predict.fk_regression: Predict method for class fk_regression

Description

Usage

Arguments

Value