Value of the Objective Function of a Model

Usage

mp_tmb_objective(
  model,
  parameter_updates = list(),
  baseline = c("recommended", "default", "optimized")
)

model: A model with an objective function, probably one produced using mp_tmb_calibrator.
parameter_updates: Named list of a subset of model variables with the values to use when simulating the trajectory using the mp_trajectory_par function. In the future we plan to allow this variable to be a data frame with one row for each scalar value (which would be useful if only certain elements of a vector or matrix are parameters) and a string giving the name of a file containing parameter information. But for now, only a list is allowed.
baseline: Models can contain several alternative sets of parameters, and this baseline argument is used to choose which of these should be updated using the parameter_updates passed to mp_trajectory_par. The current options are "recommended", "optimized", and "default". The "recommended" option will be used if neither of the other two options are selected. If model is capable of being optimized (e.g., it was created using mp_tmb_calibrator) then "recommended" is equivalent to "optimized", which use the best set of parameters found by mp_optimize. If mp_optimize has not yet been called on model then a warning will be issued. If model is not capable of being optimized then "recommended" is equivalent to "default", which uses the original set of parameters available when model was created.