Traditional R calls

kriging - kriging surrogate model svr - suport vector machine regression surrogate models train - train surrogate models predict - prediction values of the surrogate models upsm - create a UP surrogate model setDOE - set DOE for a UP surrogate model masterprediction - master prediction values of a UP surrogate models uppredict - UP prediction values of a UP surrogate models

kriging(x = NULL, y = NULL, parameters = NULL, type = "UK")

svr(x = NULL, y = NULL, parameters = NULL)

train(model)

predict.UP(object, newdata, ...)

upsm(sm = NULL, UP = NULL)

setDOE(model, x, y)

masterprediction(model, newdata)

uppredict(model, newdata)

Arguments

x	input values
y	output values
parameters	kriging parameters
type	kriging type
model	the surrogate model
object	surrogate model
newdata	data points where to predict.UP
...	other parameters
sm	surrogate model
UP	Resampling method defining the Universal Prediction

Value

kriging: kriging surrogate model.

svr: svr surrogate model

train: trained surrogate model

predict.UP: surrogate model predictions

upsm: UP surrogate model

setDOE: a UP surrogate model with DOE

masterprediction: surrogate model master predictions

uppredict: surrogate model UP predictions