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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