Ben Bolker <bolker <at> ufl.edu> writes: ... > I haven't tried it, but you could also consider using > a Poisson-lognormal (rather than neg binomial, which is Poisson-gamma) > distribution, which might make this all work rather well > in lmer: > > www.cefe.cnrs.fr/esp/TBElston_Parasitology2001.pdf
Actually it is very simple lmer(y ~ effA + (1 | effB), family=quasipoisson) i.e. this fits the following model y_ijk ~ Poisson(\lambda_ijk) log(lambda_ijk) = \mu + effaA_i + effB_ij + e_ijk effB_i ~ Normal(0, \sigma^2_b) e_ijk ~ Normal(0, \sigma^2_e) Gregor ______________________________________________ R-help@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 and provide commented, minimal, self-contained, reproducible code.