Description Usage Arguments Value See Also
In practice, this function undoes the flattening needed to run optim. Hence, it should take the same parameters that optimisation.params does. Takes a linear vector of parameters, as passed to and returned from an optimisation method, and makes it a list. Transforms degradation parameters back into normal (non-logarithmic) form. Adds fixed arguments back into the list.
1 2 | relistArguments(parameters, hypothesis, fixed=NULL,
logDegradation=TRUE, arguments=NULL)
|
parameters |
Vector of parameters |
hypothesis |
Hypothesis from which objective function was obtained. |
fixed |
Names of the arguments which were fixed during optimisation. |
logDegradation |
Whether degradation is logarithmic form. |
arguments |
Initial guess, if any, when starting minimization. |
Input parameters as a list.
optimisation.params, initial.arguments
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