kmEstimate: Fitting Kriging Models
In DiceKriging: Kriging Methods for Computer Experiments
Description
Usage
Arguments
Value
Author(s)
References
See Also
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
1
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 documentation built on Feb. 24, 2021, 1:07 a.m.
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Description Usage Arguments Value Author(s) References See Also
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
1 | kmEstimate(model, envir)
|
Arguments
model |
an object of class |
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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