Dear All, In principle it is a simple question, but not idea about how to tackle it. Suppose you have a distribution depending on two parameters, e.g. beta(a,b). For some reasons, you want to impose that the two parameters of the beta distribution are identical, i.e. you want to fit your data to beta(a,a). For instance
x<-rbeta(1000, 0.1, 0.1) require(fitdistrplus) mm<-fitdist(x, "beta", method = "mge") is how you would normally fit a sample, but I do not know how to impose the constrain a=b before the fitting. Any suggestion is appreciated. Cheers Lorenzo ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
