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DiceKriging (version 1.6.0)

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.

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

kmNoNugget.init, km