Hi, I have a dataset and I want to fit a function to it. The function is variogram model (http://en.wikipedia.org/wiki/Variogram) The variogram model is defined by three parameters and I want them to be automatically optimized for real time data. I tried to use gafit {gafit} for this, but there are some data configuration, where optimal results given by gafit() are negative, which is not correct and cannot be used for further calculating. gafit() does not enable me to set a range of possible results (at least I did not succeded in doing so), therefore I am looking for another solution (Powell´s gradient descent possibly?).
Can anyone give me a hint where to look? Thanks Zbynek -- View this message in context: http://r.789695.n4.nabble.com/How-to-optimize-function-parameters-tp3095603p3095603.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.
