Ben Bolker wrote: > > > 3. zero-inflated data may not be particularly well-represented > by a Gamma distribution: if you actually have a significant number > of exactly-zero values, you may want to analyze your data in two > stages, first as a presence-absence problem and then as a conditional > density (i.e., what is the distribution of the non-zero values)? > >
Interesting idea. Do you know of a example where this was done (independent of lmer)? We have similar data, were people are either symptom free (50% with score 0), and the rest is smoothly distributed. Dieter -- View this message in context: http://n4.nabble.com/Problem-specifying-Gamma-distribution-in-lme4-glmer-tp1676344p1676746.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
