Fit a CmdStan model using NUTS
Arguments
- data
A list of data as produced by model modules (for example
enw_expectation()
,enw_obs()
, etc.) and as required for use themodel
being used.- model
A
cmdstanr
model object as loaded byenw_model()
or as supplied by the user.- init
A list of initial values or a function to generate initial values. If not provided, the model will attempt to generate initial values
- init_method
The method to use for initializing the model. Defaults to "prior" which samples initial values from the prior. "pathfinder", which uses the pathfinder algorithm (
enw_pathfinder()
) to initialize the model.- init_method_args
A list of additional arguments to pass to the initialization method.
- diagnostics
Logical, defaults to
TRUE
. Should fitting diagnostics be returned as adata.frame
.- ...
Additional parameters passed to the
sample
method ofcmdstanr
.
Value
A data.frame
containing the cmdstanr
fit, the input data, the
fitting arguments, and optionally summary diagnostics.
See also
Functions used to help convert models into the format required for stan
enw_formula_as_data_list()
,
enw_get_cache()
,
enw_model()
,
enw_pathfinder()
,
enw_priors_as_data_list()
,
enw_replace_priors()
,
enw_set_cache()
,
enw_stan_to_r()
,
enw_unset_cache()
,
remove_profiling()
,
write_stan_files_no_profile()
Examples
if (FALSE) { # interactive()
pobs <- enw_example("preprocessed")
nowcast <- epinowcast(pobs,
expectation = enw_expectation(~1, data = pobs),
fit = enw_fit_opts(enw_sample, pp = TRUE),
obs = enw_obs(family = "poisson", data = pobs),
)
summary(nowcast)
# Use pathfinder initialization
nowcast_pathfinder <- epinowcast(pobs,
expectation = enw_expectation(~1, data = pobs),
fit = enw_fit_opts(enw_sample, pp = TRUE, init_method = "pathfinder"),
obs = enw_obs(family = "poisson", data = pobs),
)
summary(nowcast_pathfinder)
}