View source: R/buildKrigingDACE.R
daceFixTheta | R Documentation |
This function fixes theta (model parameter vector) after optimization. That is, if a value was optimized on a logarithmic scale: theta=10^theta
.
The result depends on dimensionality of the problem, the nugget value and the choice of correlation function.
daceFixTheta(m, bestTheta, nugget, corr)
m |
dimension (length) of each point |
bestTheta |
the theta value found during MLE |
nugget |
Value for nugget. Default is -1, which means the nugget was be optimized during MLE. In this case, it is part of bestTheta. Otherwise, |
corr |
The choice of correlation function (which defines the length and values of theta and bounds): |
returns a list:
thetaConv
the fixed theta vector (all model parameters)
theta
vector of activity parameters theta
p
vector of exponents p(NULL if not used in correlation function)
lambda
nugget value lambda (NULL if not used in correlation function)
buildKrigingDACE
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