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.

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.

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.
# }