R: Train and Apply a Gaussian Stochastic Process Model

# Train and Apply a Gaussian Stochastic Process Model

## Documentation for package ‘GaSP’ version 1.0.6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

borehole | Data for the borehole function
CrossValidate | Cross-validated predictions for a 'GaSPModel' object.
DescribeX | Describe the input variables.
Fit | Fit a GaSP model.
GaSPModel | Create a 'GaSPModel' object.
PlotAll | Execute 'PlotPredictions', 'PlotResiduals', 'PlotStdResiduals', 'PlotMainEffects', and 'PlotJointEffects'.
PlotJointEffects | Plot the estimated joint effects.
PlotMainEffects | Plot the estimated main effects.
PlotPredictions | Plot true versus predicted output.
PlotQQ | Normal quantile-quantile (Q-Q) plot.
PlotResiduals | Plot residuals versus each input variable.
PlotStdResiduals | Plot standardized residuals versus predictions.
Predict | Predict from a 'GaSPModel' object.
RMSE | Calculate the root mean squared error (RMSE) of prediction
Visualize | Visualize a 'GaSPModel' object.