Run RTMB model — fit_model • SPoRC

Run RTMB model

Usage

fit_model(
  data,
  parameters,
  mapping,
  random = NULL,
  newton_loops = 3,
  silent = FALSE,
  do_optim = TRUE,
  nlminb_control = list(iter.max = 1e+05, eval.max = 1e+05, rel.tol = 1e-15),
  ...
)

Arguments

data: Data list
parameters: Parameter list
mapping: Mapping list
random: Character of random effects to integrate out
newton_loops: Number of newton loops to run to get gradients down
silent: Boolean on whether or not model run is silent
do_optim: Boolean on whether or not model is optimized
nlminb_control: List argument controls by nlminb
...: Additional arguments taken by MakeADFun

Value

Returns a list object that is optimized, with results outputted from the RTMB model

See also

Other Utility: get_logistN_Sigma(), get_par_est_info(), post_optim_sanity_checks(), rho_trans(), set_data_indicator_unused()

Examples

if (FALSE) { # \dontrun{
model <- fit_model(data,
                 parameters,
                 mapping,
                 random = NULL,
                 newton_loops = 3)
} # }