R: Fitting Kriging Models

kmEstimate {DiceKriging} | R Documentation

## 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

`kmNoNugget.init`, `km`

[Package DiceKriging version 1.6.0 Index]