modelKrigingInit {CEGO} | R Documentation |
Initialize parameter tuning for the Kriging model, setting the initial guess as well as bound constraints.
modelKrigingInit(
startTheta = NULL,
lowerTheta = NULL,
upperTheta = NULL,
useLambda,
lambdaLower,
lambdaUpper,
combineDistances,
nd,
distanceParameters = F,
distanceParametersLower = NA,
distanceParametersUpper = NA
)
startTheta |
user provided start guess (optional). |
lowerTheta |
lower boundary for theta values (log scale), the kernel parameters. |
upperTheta |
upper boundary for theta values (log scale), the kernel parameters. |
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. |
distanceParameters |
whether the distance function parameters should be optimized |
distanceParametersLower |
lower boundary for parameters of the distance function, default is |
distanceParametersUpper |
upper boundary for parameters of the distance function, default is |
a list with elements x0
(start guess), lower
(lower bound), upper
(upper bound).