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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