R: Kriging predictions and confidence intervals used in...
predict.kmCok
R Documentation
Kriging predictions and confidence intervals used in Multi-Fidelity Cokriging models
Description
An internal function wich provides predicted values and conditional variances based on a kmCok model. 95% confidence intervals are given based on Gaussian process assumption.
This might be abusive in particular in the case where the number of observations is small.
a vector giving the predictions of the level k=1,...,(nlevel-1) at points newdata.
object
see km
newdata
see km
type
see km
se.compute
see km
cov.compute
see km
checkNames
see km
...
see km
Details
see km
Value
see km
Warning
see km
Author(s)
Olivier Roustant, David Ginsbourger, Ecole des Mines de St-Etienne.
Loic Le Gratiet, Universite Paris VII Denis-Diderot
References
KRIGE, D.G. (1951), A statistical approach to some basic mine valuation problems on the witwatersrand, J. of the Chem., Metal. and Mining Soc. of South Africa, 52 no. 6, 119-139.
MATHERON, G. (1969), Le krigeage universel, Les Cahiers du Centre de Morphologie Mathematique de Fontainebleau, 1.