View source: R/buildKrigingForrester.R
| predict.kriging | R Documentation |
Predict with Kriging model produced by buildKriging.
## S3 method for class 'kriging' predict(object, newdata, ...)
object |
Kriging model (settings and parameters) of class |
newdata |
design matrix to be predicted |
... |
not used |
list with predicted mean y, uncertainty / standard deviation s (optional)
and expected improvement ei (optional).
Whether s and ei are returned is specified by the vector of strings
object$target, which then contains "s" and "ei".
buildKriging
## Create design points
x <- cbind(runif(20)*15-5,runif(20)*15)
## Compute observations at design points (for Branin function)
y <- funBranin(x)
## Create model
fit <- buildKriging(x,y)
fit$target <- c("y","s","ei")
## first estimate error with regressive predictor
predict(fit,x)
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