Hi, is it possible to add exposures to a glm with family=binomial()?
It's easy to do it for a Poisson/negative binomial: just multiply the mean by the exposure, that is, offset(log(exposure)): but this obviously wrong for a binomial/Bernoulli since the mean must be no bigger than 1.
My goal was do it it with pscl::zeroinfl and pscl::hurdle, but answering for binomial/Bernoulli would already help.
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