CrossValidate: Cross-validated predictions for a 'GaSPModel' object.
In GaSP: Train and Apply a Gaussian Stochastic Process Model
View source: R/CrossValidate.R
CrossValidate R Documentation
Cross-validated predictions for a GaSPModel object.
Description
Compute leave-one-out cross-validated predictions for a GaSPModel object.
Usage
CrossValidate(GaSP_model)
Arguments
GaSP_model
Object of class GaSPModel.
Value
A data frame with two columns: the cross-validated predictions
Pred and their standard errors SE.
Note
RMSE computes the root mean squared error
of the predictions.
PlotPredictions and PlotResiduals
plot the predictions or their residuals;
PlotStdResiduals and PlotQQ
plot the stanadardized residuals.
Examples
borehole_cv <- CrossValidate(borehole_fit)
GaSP documentation built on May 31, 2023, 7:54 p.m.
R Package Documentation
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View source: R/CrossValidate.R
| CrossValidate | R Documentation |
Cross-validated predictions for a GaSPModel object.
Description
Compute leave-one-out cross-validated predictions for a GaSPModel object.
Usage
CrossValidate(GaSP_model)
Arguments
GaSP_model |
Object of class |
Value
A data frame with two columns: the cross-validated predictions
Pred and their standard errors SE.
Note
RMSE computes the root mean squared error
of the predictions.
PlotPredictions and PlotResiduals
plot the predictions or their residuals;
PlotStdResiduals and PlotQQ
plot the stanadardized residuals.
Examples
borehole_cv <- CrossValidate(borehole_fit)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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