dacePrepareFit: Prepare DACE fit

In SPOT: Sequential Parameter Optimization Toolbox

Prepare DACE fit

Description

Prepares a list with relevant model options and settings based on user choice and problem setup.

Usage

dacePrepareFit(S, Y, nugget, regr = regpoly0, corr = corrnoisykriging)

Arguments

S	known design points. That is, a matrix with n rows (for each point) and dim columns (for each dimension).
Y	vector of observations at known design points of length n.
nugget	Value for nugget. Default is -1, which means the nugget will be optimized during MLE.
regr	Regression function to be used: regpoly0 (default), regpoly1, regpoly2. Can be a custom user function.
corr	Correlation function to be used: corrnoisykriging (default), corrkriging, corrnoisygauss, corrgauss, correxp, correxpg, corrlin, corrcubic,corrspherical,corrspline. Can also be user supplied (if in the right form).

Value

a list with several model or problem specific settings and parameters

Author(s)

The authors of the original DACE Matlab code are Hans Bruun Nielsen, Soren Nymand Lophaven and Jacob Sondergaard.
Extension of the Matlab by Tobias Wagner [e-mail].
Porting and adaptation to R and further extensions by Martin Zaefferer [e-mail].

See Also

buildKrigingDACE

SPOT documentation built on June 26, 2022, 1:06 a.m.