Description Usage Arguments Details Value
This function estimates the parameters of the metamodel error estimating
Gaussian process using maximum likelihood methods to identify the length
parameter r
of the given correlation function.
1  estimate.GP(ssm, type)

ssm 
An SSM object. 
type 
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
when the optimize
algorithm misses maxima when the interval is too
large.
The scaling parameter sigma
is found analytically once r
has been determined.
An SSM object that is the same as the input except with
estimates for r
and sigma
in the appropriate slots.
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