# scalingGrad

From DiceKriging v1.5.6
by Olivier Roustant

##### Gradient of the dimensional Scaling function

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

- Keywords
- models

##### 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

*Documentation reproduced from package DiceKriging, version 1.5.6, License: GPL-2 | GPL-3*

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