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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