Build Stan arguments and fit an estimation model — fit_estimate

Shared fitting step for the estimate_*() functions. Builds the Stan arguments with create_stan_args(), warns if the truncation distribution is longer than the observed time period, and fits the model with fit_model().

Usage

fit_estimate_model(
  stan,
  data,
  init,
  model,
  id = model,
  verbose = FALSE,
  time_points = NULL
)

Arguments

stan: A list of stan options as generated by stan_opts().
data: A list of stan data as created by create_stan_data().
init: Initial conditions passed to the Stan backend, either a function or a list.
model: Character, name of the model to fit, e.g. "estimate_infections".
id: Character, identifier used in logging. Defaults to model.
verbose: Logical. Should verbose progress messages be shown. Defaults to FALSE.
time_points: Integer length of the observed time period passed to check_truncation_length(). If NULL (the default) the check is skipped.

Value

A fitted model object as returned by fit_model().