R/define_S4_generic_simulate.R
simulate.Rd
A convenient wrapper function (simulate
) to simulate data (and process error) from the likelihood function.
simulate(object, ...)
# S4 method for Assessment
simulate(
object,
nsim = 1,
seed = NULL,
process_error = FALSE,
refit = FALSE,
cores = 1,
...
)
# S4 method for RCModel
simulate(
object,
nsim = 1,
seed = NULL,
process_error = FALSE,
refit = FALSE,
cores = 1,
...
)
An object of class Assessment or RCModel containing the fitted model.
Additional arguments
Number of simulations
Used for the random number generator
Logical, indicates if process error is re-sampled in the simulation.
Logical, whether to re-fit the model for each simulated dataset.
The number of CPUs for parallel processing for model re-fitting if refit = TRUE
.
A sim-class object returning the original data, simulated data, original parameters, parameters estimated from simulated data, and process error used to simulate data. then a nested list of model output (`opt`, `SD`, and `report`).
Process error, e.g., recruitment deviations, will be re-sampled in the simulation.