leaveOneOutFun

a vector containing the optimization variables.

param

an object of class <code>km</code>.

model

an optional environment specifying where to assign intermediate values for future gradient calculations. Default is NULL.

envir

Returns the mean of the squared leave-one-out errors, computed with Dubrule's formula.

models

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

leaveOneOutFun 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 optional environment specifying where to assign intermediate values for future gradient calculations. Default is NULL.</dd></dl>

Arguments

O. Roustant, Ecole des Mines de St-Etienne

Author

Leave-one-out least square criterion of a km object — leaveOneOutFun

<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 optional environment specifying where to assign intermediate values for future gradient calculations. Default is NULL.</dd>

</dl>

leaveOneOutFun: Leave-one-out least square criterion of a km object

Description

Usage

Value

Arguments

Author

References

See Also