predgprdp {resemble}R Documentation

Prediction function for the gprdp function (Gaussian process regression with dot product covariance)

Description

Predicts response values based on a model generated by the gprdp function (Gaussian process regression with dot product covariance). For internal use only!.

Usage

predgprdp(Xz, alpha, newdata, scale, Xcenter, Xscale, Ycenter, Yscale)

Arguments

Xz

the final (scaled?) matrix of predictors used to create the regression model in the gprdp function

alpha

the alpha matrix corresponding to the regression model in the gprdp function

newdata

a matrix containing the predictor variables

scale

a logical indicating whether the matrix of predictors used to create the regression model (in the gprdp function) was scaled

Xcenter

if center = TRUE a matrix of one row with the values that must be used for centering newdata.

Xscale

if scale = TRUE a matrix of one row with the values that must be used for scaling newdata.

Ycenter

if center = TRUE a matrix of one row with the values that must be used for accounting for the centering of the response variable.

Yscale

if scale = TRUE a matrix of one row with the values that must be used for accounting for the scaling of the response variable.

Value

a matrix of predicted values

Author(s)

Leonardo Ramirez-Lopez


[Package resemble version 1.2.2 Index]