glm - poisson
i think that is ok. "when a response count n(i) has index equal to t(i),the sample rate is n(i)/t(i),its expected value is u(i)/t(i)......a loglinear model for theexpeted rate has form log(u(i)/t(i))=a+bx"(agresti,2002) this model can use glm-poisson with a offset term to estimate On Thu, 17 Mar 2005 15:22:02 -0800 (PST)
Oli <olilili at yahoo.com> wrote:
Hello, I have a question on glm - poisson. I would like to fit a model on proportion of counts with some factors, and I decided to use glm - poisson because count data is essentially related to poisson. However, since I need to deal with proportion, and glm - poisson does not allow non-integer responses, I am thinking of adding an offset term = log(total). Is it the right approach to it? or should I use quasi-poisson family, or should I even use weights? Thanks for your help!
______________________________________________ R-help at stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html