I am using numerical optimization to fit a 1 parameter model, in which the input parameter is bounded. I am currently using optimize(), however, the problem turns out to have local minima, and optimize does not always seem to find the global minimum. I could to write a wrapping function that tries multiple intervals or starting values, but I would prefer a package that has built-in methods to make it more robust against local minima.
I checked the CRAN Task View for Optimization, however there seem to be a lot of alternatives, and not being an optimization expert, I could use some advice. What could be an appropriate package or function for one-dimensional bounded optimization, that includes some protection against local minima? ----- Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University Visit http://www.jeroenooms.com www.jeroenooms.com to explore some of my current projects. -- View this message in context: http://old.nabble.com/1-dimensional-optimization-with-local-minima-tp26160001p26160001.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.