This function is used to initialize the OM and get either expected values or bootstrap.
Usage
run_OM(
OM_dir,
boot = TRUE,
nboot = 1,
init_run = FALSE,
verbose = FALSE,
debug_par_run = TRUE,
sample_catch = FALSE,
seed = NULL
)
Arguments
- OM_dir
The full path to the OM directory.
- boot
Return the bootstrap dataset? If TRUE, function returns the number bootstrapped dataset specified in
nboot
. If FALSE, it returns the expected values.- nboot
The number bootstrapped data set. This value is only used if
boot = TRUE
. Note that this numbering does NOT correspond with the numbering in section of r4ss::SS_readdat. E.g., specifying section = 3 in SS_readdat is equivalent to specifying nboot = 1.- init_run
Is this the initial iteration of the OM? Defaults to FALSE.
- verbose
Want verbose output? Defaults to FALSE.
- debug_par_run
If set to TRUE, and the run fails, a new folder called error_check will be created, and the model will be run from control start values instead of ss.par. The 2 par files are then compared to help debug the issue with the model run. Defaults to TRUE.
- sample_catch
Should catch be sampled or fixed at the OM values? Defaults to FALSE.
- seed
A random seed so that reproducible results are possible.