Kriging Methods for Computer Experiments
Estimation, validation and prediction of kriging models.
|License:||GPL-2 | GPL-3|
A previous version of this package was conducted within the frame of the DICE (Deep Inside Computer Experiments) Consortium between ARMINES, Renault, EDF, IRSN, ONERA and TOTAL S.A. (http://dice.emse.fr/).
The authors wish to thank Laurent Carraro, Delphine Dupuy and Celine Helbert for fruitful discussions about the structure of the code, and Francois Bachoc for his participation in validation and estimation by leave-one-out. They also thank Gregory Six and Gilles Pujol for their advices on practical implementation issues, as well as the DICE members for useful feedbacks.
rgenoud >= 5.8-2.0 is recommended.
Important functions or methods:
||Estimation (or definition) of a kriging model with unknown (known) parameters|
||Prediction of the objective function at new points using a kriging model (Simple and|
||Plot diagnostic for a kriging model (leave-one-out)|
||Simulation of kriging models|
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