Hello R-helpers,
I would like to fit a non-linear function to data (Discrete X axis, over-dispersed Poisson values on the Y axis).
I found the functions gnlr in the gnlm package from Jim Lindsey: this can handle nonlinear regression equations for the parameters of Poisson and negative binomial distributions, among others. I also found the function nls2 in the software package accompanying the book "Statistical tools for nonlinear regression" by Huet et al: this can handle nonlinear regression with Poisson distributed Y-axis values.
I was wondering if there was any other option: specifically, any option that handled nonlinear fitting with quasi-Poisson distributions (to handle the overdispersion).
This is a very new area for me, and I am still trying to figure out the best way to do this, so I would appreciate any and all pointers.
Thanks much, Suresh ______________________________________________ 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.
