produces an age by length bins matrix with probability of being in length bin at age
Usage
generate_length_at_age_key(
min_age,
max_age,
length_bin_width = 1,
growth_params = list(),
growth_model = "von_bertalanffy",
cv,
time_step = 1,
linf_buffer = 10
)Arguments
- min_age
minimum age tracked in the model. Best to leave at 0, as the model does not explicitly track delays for recruitment
- max_age
maximum age tracked by the model (individuals this age or older are tracked in the plus group)
- cv
the coefficient of variation of the length-at-age relationship (log-space)
- time_step
the time step the model is running on (1 / seasons)
- linf_buffer
multiplier around linf to create length at age key, taking into account that some fish will be larger than Linf
- k
the
- linf
asymptotic length of the species in a von Bertalanffy growth function
- t0
hypothetical age at which the fish would have length 0 (e.g. -0.5 years)