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logLikGrad

Concentrated log-Likelihood of a km object - Analytical gradient


Description

Returns the exact gradient vector of the concentrated log-likelihood.

Usage

logLikGrad(param, model, envir)

Arguments

param

a vector containing the optimization variables.

model

an object of class km.

envir

an environment specifying where to get intermediate values calculated in logLikFun.

Value

the gradient of the concentrated log-likelihood.

Author(s)

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

References

J.-S. Park and J. Baek (2001), Efficient computation of maximum likelihood estimators in a spatial linear model with power exponential covariogram, Computer Geosciences, 27 no. 1, 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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