Hi I hope this is the right forum - if not, point me please to a better one.
I am using R 2.3.0 on Linux, SuSE 10. I have a question concerning mle (method="BFGS"). I have a few models which I am fitting to existing data points. I realised, that the likelihood is quite sensitive to the start values for one parameter. I am wondering: what is the best approach to identify the right initial values? Do I have to do it recursively, and if yes, how can I automate it? Or do I have to play with the system? I am quite confident that the resulting parameters are the optimal for my problem - but can I verify it? Thanks, Rainer -- Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT) Department of Conservation Ecology and Entomology University of Stellenbosch Matieland 7602 South Africa ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
