if (FALSE) {
fit <- brm(
count ~ zAge + zBase * Trt + (1|patient) + (1|obs),
data = epilepsy, family = poisson(),
prior = prior(student_t(5,0,10), class = b) +
prior(cauchy(0,2), class = sd)
)
prior_summary(fit)
prior_summary(fit, all = FALSE)
print(prior_summary(fit, all = FALSE), show_df = FALSE)
}
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