Hi R users,


I am using the following model to analyze data from a factorial experiment
(randomized complete block design with no replication within blocks):


model <- glm(survival ~ density * vegetation + (1|block), data=sal2005,
family="binomial")

Does R use a binomial distribution in this formulation to model random
effects or a normal distribution (in which case the analysis is not binomial
at the scale of the experiment)?  If the latter, is there a way to specify
the distribution for random effects?

Thanks, Maureen

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