That is why I did not submit a bug report. The problem is that in many application areas phi is much greater than one.
The gnlr function in my gnlm library (at www.luc.ac.be/~jlindsey/rcode.html) will fit quite a variety of different overdispersed Poisson- and binomial-based distributions (i.e. phi different from one) using their exact likelihoods. Jim
As Bill Venables has kindly pointed out, I was a bit sloppy in the above: phi here refers to the appropriate overdispersion parameter in the distribution chosed, negative binomial, beta-binomial, double exponential, multiplicative Poisson/binomial, etc. For some distributions, it can be less than one, i.e. underdispersed. Jim -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._