This function estimates the parameters of the metamodel error estimating
Gaussian process using maximum likelihood methods to identify the length
r of the given correlation function.
An SSM object.
Character. Specifies the correlation function to use. Either
Since the concentrated likelihood function is often flat, this function calls
optimize several times using different search intervals to avoid cases
optimize algorithm misses maxima when the interval is too
The scaling parameter
sigma is found analytically once
has been determined.
An SSM object that is the same as the input except with
sigma in the appropriate slots.
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