This distribution assigns seeded infections in each population an
exponential prior. The aux parameter refers to the mean of this
distribution. This mean parameter is common to seeded infections in each
group, and is given a prior distribution. This approach of assigning
priors to hyperparameters is referred to as hierarchical modeling. A call
to this function can be passed as the prior_seeds argument in
epiinf.
hexp(prior_aux = rstanarm::exponential(0.03))Specifies the prior distribution on the auxiliary parameter.
This can be a call to normal, student_t
or exponential.
A named list to be parsed internally by epim.