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.