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()