# NOT RUN {
## poisson regression without random effects.
fit1 <- brm(count ~ zAge + zBase * Trt,
data = epilepsy, family = poisson())
summary(fit1)
plot(fit1)
## poisson regression with varying intercepts of patients
## as well as normal priors for overall effects parameters.
fit2 <- brm(count ~ zAge + zBase * Trt + (1|patient),
data = epilepsy, family = poisson(),
prior = set_prior("normal(0,5)"))
summary(fit2)
plot(fit2)
# }
# NOT RUN {
# }
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