predict.multiKernel: Prediction method for multivariate kernel-machine regression

In turgeonmaxime/multiKernel: Multivariate prediction using kernel-machine regression

Description

This method performs prediction for new data, based on the output of a fitted multivariate kernel-machine regression

Usage

predict.multiKernel(object, covariate, confounder = NULL, ...)

Arguments

object	Object of class multiKernel, such as the output of the function fitMultiKernel.
covariate	Matrix of covariate variables, which are included in the kernel.
confounder	Matrix or data.frame of confounder variables, which are not included in the kernel.
...	Extra parameters to be passed to the kernel function.

turgeonmaxime/multiKernel documentation built on June 1, 2019, 2:56 a.m.