Compute average proportion of catch that is "Large" across projection period

Compute average proportion of catch that is "large" (median and CIs) per year across all years and simulation seeds, for each combination of operating models and management procedures. "Large" fish are those >9yo (the approximate age corresponding to the highest processor grade for sablefish in Alaska).

Usage

average_proportion_catch_large(
  model_runs,
  extra_columns,
  hcr_filter,
  om_filter,
  interval_widths = c(0.5, 0.8),
  time_horizon = c(65, NA),
  extra_filter = NULL,
  relative = NULL,
  summarise_by = c("om", "hcr"),
  summary_out = TRUE
)

Arguments

model_runs

list of completed MSE simulations runs

extra_columns

data.frame specifying names for OM and HCR to attach to each model_run (see `bind_mse_outputs` for more details)

hcr_filter

vector of HCR names to calculate metric over

om_filter

vector of OM names to calculate metric over

interval_widths

confidence intevrals to compute

extra_filter

an additional set of filters to apply before computing medians and confidence intervals

relative

a management procedure to compute metric relative to

summarise_by

vector of columns to summarise metric by

summary_out

whether to output data summarised by `ggdist` or full data