covVector.dx

Computes the gradient of the covariance vector <code>c(x)</code> computed by <code>covMat1Mat2</code> with respect to <code>x</code>, for a given covariance structure.

models

internal

optimize

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

covVector.dx function

<dl> <dt>object</dt>
<dd>an object specifying the covariance structure.</dd> <dt>x</dt>
<dd>a vector representing the specific location.</dd> <dt>X</dt>
<dd>a matrix whose columns represent locations.</dd> <dt>c</dt>
<dd>a matrix containing the covariances between the location <code>x</code> and the set of locations specified in <code>X</code> (see <code>covMat1Mat2</code>).</dd></dl>

Arguments

Olivier Roustant, David Ginsbourger, Ecole des Mines de St-Etienne.

Author

Spatial covariance - Derivatives — covVector.dx

<dl>

 <dt>object</dt>
<dd>an object specifying the covariance structure.</dd>

 <dt>x</dt>
<dd>a vector representing the specific location.</dd>

 <dt>X</dt>
<dd>a matrix whose columns represent locations.</dd>

 <dt>c</dt>
<dd>a matrix containing the covariances between the location <code>x</code> and the set of locations specified in <code>X</code> (see <code>covMat1Mat2</code>).</dd>

</dl>

covVector.dx: Spatial covariance - Derivatives

Description

Usage

Value

Arguments

Author

See Also