logLikGrad

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

models

internal

htest

Estimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km.

Olivier Roustant

DiceKriging

Kriging Methods for Computer Experiments

David Ginsbourger

Yves Deville

Clément Chevalier

Yann Richet

logLikGrad function

<dl> <dt>param</dt>
<dd>a vector containing the optimization variables.</dd> <dt>model</dt>
<dd>an object of class <code>km</code>.</dd> <dt>envir</dt>
<dd>an environment specifying where to get intermediate values calculated in <code>logLikFun</code>.</dd></dl>

Arguments

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

Author

Concentrated log-Likelihood of a km object - Analytical gradient — logLikGrad

<dl>

 <dt>param</dt>
<dd>a vector containing the optimization variables.</dd>

 <dt>model</dt>
<dd>an object of class <code>km</code>.</dd>

 <dt>envir</dt>
<dd>an environment specifying where to get intermediate values calculated in <code>logLikFun</code>.</dd>

</dl>

logLikGrad: Concentrated log-Likelihood of a km object - Analytical gradient

Description

Usage

Value

Arguments

Author

References

See Also