This functions allows the user to more easily specify data driven or model
based priors for estimate_secondary() from example from previous model
fits using a <data.frame> to overwrite other default settings. Note that
default settings are still required.
A list of data and arguments as returned by create_stan_data().
priors
A <data.frame> of named priors to be used in model fitting
rather than the defaults supplied from other arguments. This is typically
useful if wanting to inform a estimate from the posterior of another model
fit. Priors that are currently use to update the defaults are the scaling
fraction ("frac_obs"), and delay parameters ("delay_params"). The
<data.frame> should have the following variables: variable, mean, and
sd.
verbose
Logical, defaults to FALSE. Should verbose progress
messages be returned.