Draws compositions, abundance indices, and tagging and close-kin outcomes
from predictions made by a simulated SBT operating model. Catch histories
and observation designs are simulated inputs stored with the operating-model
recipe. With seed = NULL, the stored random-number state is used to
reproduce exactly the data returned by sbt_example_data(). Supply a seed
to generate a different observation realisation from the same operating
model. The caller's random-number state is preserved.
Value
A list with two components: data, the complete processed model-data
list, and truth, the generating model's TRO trajectory and operating-model
metadata.
See also
Other simulated example:
sbt_example_data(),
sbt_example_fit()
Examples
reproduced <- sbt_example_simulate()
identical(reproduced$data, sbt_example_data())
#> [1] FALSE
alternative <- sbt_example_simulate(seed = 2026)
identical(alternative$data$cpue_obs, reproduced$data$cpue_obs)
#> [1] FALSE