leaveOneOutGrad {DiceKriging} | R Documentation |
Leave-one-out least square criterion - Analytical gradient
Description
Returns the analytical gradient of leaveOneOutFun
.
Usage
leaveOneOutGrad(param, model, envir)
Arguments
param |
a vector containing the optimization variables. |
model |
an object of class |
envir |
an environment specifying where to get intermediate values calculated in |
Value
the gradient of leaveOneOutFun
at param
.
Author(s)
O. Roustant, Ecole des Mines de St-Etienne
References
F. Bachoc (2013), Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification. Computational Statistics and Data Analysis, 66, 55-69. http://www.lpma.math.upmc.fr/pageperso/bachoc/publications.html
O. Dubrule (1983), Cross validation of Kriging in a unique neighborhood. Mathematical Geology, 15, 687-699.
See Also
[Package DiceKriging version 1.6.0 Index]