Hello
I have a problem when calibrating a function because i receive error messages:
nloptr_: Error in is.nloptr(ret) : objective in x0 returns NA
optim_: L-BFGS-B requires finite values of 'fn'
nlm_: it seems to ignore NA but can't impose constraints on parameters (please, let me know if it is possible and how)
etc.
If works for some range of observations but fails for others (strange). I tried several starting values but still the same.
My question is simple: how to ask to ignore error messages and yield back the parameters values?
Thanks a lot