CEGO (version 2.1.0)

modelKrigingInit: Kriging: Initial guess and bounds

Description

Initialize parameter tuning for the Kriging model, setting the initial guess as well as bound constraints.

Usage

modelKrigingInit(startTheta = NULL, lowerTheta, upperTheta, optimizeP,
  useLambda, lambdaLower, lambdaUpper, combineDistances, nd)

Arguments

startTheta

user provided start guess (optional).

lowerTheta

lower boundary for theta values (log scale).

upperTheta

upper boundary for theta values (log scale).

optimizeP

boolean, whether parameter p is optimized.

useLambda

boolean, whether nugget effect (lambda) is used.

lambdaLower

lower boundary for lambda (log scale).

lambdaUpper

upper boundary for lambda (log scale).

combineDistances

boolean, whether multiple distances are combined.

nd

number of distance function.

Value

a list with elements x0 (start guess), lower (lower bound), upper (upper bound).

See Also

modelKriging