Note that this will involve compiling a Stan model and may take a while.
name of the example model.
normal_sd is a simple model fitting
a normal distribution parametrized as mean and standard deviation.
normal_bad is a model that tries to implement the
but assumes an incorrect parametrization of the normal distribution.
For Stan-based backends, the model is written as if Stan parametrized
normal distribution with precision (while Stan uses sd), for JAGS-based
backends the model is written as if JAGS parametrized normal distribution
with sd (while JAGS uses precision).
name of the interface to be used to fit the model