Predict {GaSP}R Documentation

Predict from a GaSPModel object.

Description

Predict from a GaSPModel object.

Usage

Predict(GaSP_model, x_pred, generate_coefficients = c(FALSE, TRUE))

Arguments

GaSP_model

Object of class GaSPModel.

x_pred

A data frame containing the values of the input variables at which to predict the output.

generate_coefficients

A boolean indicating whether coefficients for further external predictions are generated.

Value

A list with the following elements:

y_pred

A data frame with two columns: the predictions Pred and their standard errors SE.

pred_coeffs

A vector of coefficients for further predictions; NULL if generate_coefficients is FALSE.

Note

The vector of prediction coefficients in pred_coeffs can be used as follows. Let c denote the coefficients and let r denote a vector with element i containing the correlation between the output at a given new point and the output at training point i. Then the prediction for the output at the new point is the dot product of c and r.

RMSE computes the root mean squared error of the predictions. PlotPredictions and PlotResiduals plot the predictions or their residuals; PlotStdResiduals and PlotQQ plot the standardized residuals.

Examples



borehole_pred <- Predict(
  GaSP_model = borehole_fit,
  x_pred = borehole$x_pred,
  generate_coefficients = TRUE
)

[Package GaSP version 1.0.6 Index]