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kmEstimate

Fitting Kriging Models


Description

kmEstimate is used to fit kriging models. This function should not be called directly, due to the environments defined in km to avoid computing twice nxn matrices. Call km instead.

Usage

kmEstimate(model, envir)

Arguments

model

an object of class km.

envir

an environment specifying where to assign intermediate values for future gradient calculations.

Value

An object of class km.

Author(s)

O. Roustant, D. Ginsbourger, Ecole des Mines de St-Etienne.

References

Park J-S, Baek J. (2001), Efficient computation of maximum likelihood estimators in a spatial linear model with power exponential covariogram, Computer Geosciences, 27, 1-7.

See Also


DiceKriging

Kriging Methods for Computer Experiments

v1.6.0
GPL-2 | GPL-3
Authors
Olivier Roustant, David Ginsbourger, Yves Deville. Contributors: Clement Chevalier, Yann Richet.
Initial release
2021-02-23

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