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DiceKriging (version 1.6.0)

DiceKriging-package: Kriging Methods for Computer Experiments

Description

Estimation, validation and prediction of kriging models.

Arguments

Details

Package: DiceKriging
Type: Package
Version: 1.6.0
Date: 2021-02-23
License: GPL-2 | GPL-3

References

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D. Ginsbourger, D. Dupuy, A. Badea, O. Roustant, and L. Carraro (2009), A note on the choice and the estimation of kriging models for the analysis of deterministic computer experiments, Applied Stochastic Models for Business and Industry, 25 no. 2, 115-131.

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O. Roustant, D. Ginsbourger and Yves Deville (2012), DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization, Journal of Statistical Software, 51(1), 1-55, https://www.jstatsoft.org/v51/i01/.

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M. Schonlau (1997), Computer experiments and global optimization, Ph.D. thesis, University of Waterloo.

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Y. Xiong, W. Chen, D. Apley, and X. Ding (2007), Int. J. Numer. Meth. Engng, A non-stationary covariance-based Kriging method for metamodelling in engineering design.