xfei <xiaoyifei <at> gmail.com> writes: > I have a dataset with the following properties: > Y_i ~ N(mu_i, theta * (mu_i)^2) > ln(mu_i) = B'Xi > > theta and beta's are the parameters here. > > I want to come up with a model to fit the data with the above property and > test that model on the built in R dataset quine. > > Does nls() make sense in this case? Or is there any existing R package which > can fit this model?
You don't need nls(): see ?gls, ?varCorr, ?varPower in the nlme package. ______________________________________________ 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.
