Prepare DACE fit

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Description

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

Usage

1
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 hbn@imm.dtu.dk, Soren Nymand Lophaven and Jacob Sondergaard.
Extension of the Matlab by Tobias Wagner wagner@isf.de.
Porting and adaptation to R and further extensions by Martin Zaefferer martin.zaefferer@fh-koeln.de.

See Also

daceBuilder

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