Preliminary Assessments in MSE — prelim

Evaluates the likely performance of Assessment models in the operating model. This function will apply the assessment model for Data generated during the historical period of the MSE, and report the convergence rate for the model and total time elapsed in running the assessments.

Usage

prelim_AM(x, Assess, ncpus = NULL, ...)

Arguments

x: Either a Hist, Data or OM object.
Assess: An Assess function of class Assess.
ncpus: Numeric, the number of CPUs to run the Assessment model (will run in parallel if greater than 1).
...: Arguments to be passed to Assess, e.g., model configurations.

Value

Returns invisibly a list of Assessment objects of length OM@nsim. Messages via console.

Author

Q. Huynh

Examples

# \donttest{
prelim_AM(MSEtool::SimulatedData, SP)
#> ✔ Running SP with 3 simulations for MSEtool::SimulatedData.
#> ✔ Assessments complete.
#> ✔ Total time to run 3 assessments: 0.1 seconds
#> ✔ 0 of 3 simulations (0%) failed to converge.
# }