fit_MSA: Fit MSA model

In multiSA: Multi-Stock Assessment

Fit MSA model

Description

Wrapper function that calls RTMB to create the model and perform the numerical optimization

Usage

fit_MSA(
  MSAdata,
  parameters,
  map = list(),
  random = NULL,
  run_model = TRUE,
  do_sd = TRUE,
  report = TRUE,
  silent = FALSE,
  control = list(iter.max = 2e+05, eval.max = 4e+05),
  ...
)

Arguments

MSAdata	Data object. Class MSAdata, validated by check_data()
parameters	List of parameters, e.g., returned by make_parameters() and validated by check_parameters().
map	List of parameters indicated whether they are fixed and how they are shared, e.g., returned by make_parameters(). See RTMB::MakeADFun().
random	Character vector indicating the parameters that are random effects, e.g., returned by make_parameters().
run_model	Logical, whether to fit the model through stats::nlminb().
do_sd	Logical, whether to calculate the standard errors with RTMB::sdreport().
report	Logical, whether to return the report list with obj$report(obj$env$last.par.best).
silent	Logical, whether to report progress to console. Not passed to TMB::MakeADFun(). Recommend to set to TRUE to speed up run time, e.g., when running simulations, multiple fits, etc.
control	Passed to stats::nlminb()
...	Other arguments to RTMB::MakeADFun().

Value

A MSAassess object.

See Also

report() retrospective()

multiSA documentation built on March 21, 2026, 1:06 a.m.