Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

scalingGrad

Gradient of the dimensional Scaling function


Description

Gradient of the Scaling function (marginal in dimension k) of Xiong et al. with respect to eta

Usage

scalingGrad(X, knots, k)

Arguments

X

an n*d matrix standing for a design of n experiments in d-dimensional space.

knots

a list of knots parametrizing the transformation.

k

dimension of the input variables for which the gradient is calculated.

Value

Gradient of the Scaling function of Xiong et al. with respect to eta

References

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.

See Also


DiceKriging

Kriging Methods for Computer Experiments

v1.6.0
GPL-2 | GPL-3
Authors
Olivier Roustant, David Ginsbourger, Yves Deville. Contributors: Clement Chevalier, Yann Richet.
Initial release
2021-02-23

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.