Nothing
library(bellreg)
# ML approach:
mle <- zibellreg(cells ~ smoker+gender|smoker+gender, data = cells, approach = "mle")
summary(mle)
coef(mle)
vcov(mle)
confint(mle)
# Bayesian approach:
bayes <- zibellreg(cells ~ 1|smoker+gender, data = cells, approach = "bayes", chains = 2, iter = 100)
summary(bayes)
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