On Feb 3, 2014, at 11:12 PM, IamRandom wrote: > I am running a simple example of GLM. If I include weights when > family="poisson" then the weights are calculated iteratively and $weights and > $prior.weights return different values. The $prior.weights are what I > supplied and $weights are the "posterior" weights of the IWLS. If I include > weights with family="gaussian" then the weights are static and $weights and > $prior.weights return the same values; it seems to ignore IWLS algorithm > procedure.
I don't think so. I think it's just starting where you specify and proceeding normally from there. > I really want the family="poisson" to behave like the family="gaussian" and > use the static weights. Thoughts? I was under the impression there is no need to iterate for family="gaussian". If my understanding is correct only one "iteration" gets done. Maybe you should say what you are trying to accomplish. -- David Winsemius Alameda, CA, USA ______________________________________________ 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.