Dear R-friends,
I use
optim(par=c(mystartingpoints), fn=myloglikelihoodfunction, gr=NULL,
method=c("L-BFGS-B"), ## I would like to do not use any
bounds
control=list(trace=6, ## just to see what it's going on
maxit=c(20000)), ## to be sure the it
doesn't stop reaching the max iterations
data=mydataset)
to optimize some demographic model. I assume that the log-likelihood is
relatively flat because the estimated results are very similar to my
starting values. In addition, I know the "real" parameters as I have used
simulated data (which have been also found by using GAUSS and replicated by
it).
I already tried various methods and also various starting values but it did
not help. Can maybe anyone give me some suggestion what I could do?
Thanks,
Carlo Giovanni Camarda
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