Extract and summarise posteriors from a epict() to use as
priors (based on the distributions given in epict_priors())
assuming they are independent normal
Usage
epict_posterior_as_prior(
  fit,
  priors = epict::epict_priors(),
  variables = c(),
  sub = "_int",
  scale = 5
)Arguments
- fit
- A cmdstanr fit as returned by - epict().
- priors
- A data frame of priors to update as defined in - epict_priors().
- variables
- A character vector of variables both in the posterior and in the default priors. 
- sub
- A character string indicating the part of variable names in the posterior to remove. This can be used to link variable names in the model object to those expected as input. 
- scale
- Numeric, defaults to 5. Amount to scale posterior standard deviations by. 
See also
Functions used to design and setup models
adjustment_formula(),
epict_formula_as_list(),
epict_individual_priors_as_list(),
epict_inference_opts(),
epict_model_opts(),
epict_obs_as_list(),
epict_onset_obs_as_list(),
epict_population_priors_as_list(),
piecewise_formula(),
select_piecewise_parameters()