Fit a nowcast model with the RTMB engine

Optimises the negative log-posterior built from model + data. For delay_only data this fits the reporting-delay process alone (no epidemic); the joint epidemic fit is added in later phases.

Usage

fit(
  model,
  data,
  priors = NULL,
  init = NULL,
  control = list(iter.max = 500, eval.max = 1000, rel.tol = 1e-09)
)

Arguments

model

A model() object.

data

Prepared-data list from prepare_data().

priors

Optional prior bundle; defaults to default_priors().

init

Optional named init list.

control

nlminb control list.

Value

A list with par (named estimates), obj, opt, data, priors, model, convergence, and (delay-only) delay_mu / delay_sigma.