Or if there are enough averages of enough counts, the CLT provides another option.
> On Jul 21, 2015, at 8:38 PM, David Winsemius <dwinsem...@comcast.net> wrote: > > > On Jul 21, 2015, at 8:21 PM, Wensui Liu wrote: > >> Dear Lister >> When the count outcomes are integers, we could use either Poisson or >> NB regression to model them. However, there are cases that the count >> outcomes are non-integers, e.g. average counts. >> I am wondering if it still makes sense to use Poisson or NB regression >> to model these non-integer outcomes. > > There is a quasi-binomial error model that accepts non-integer outcomes. > > -- > > David Winsemius > Alameda, CA, USA > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
