Nonlinear least squares, \(L = L_\infty(1 - e^{-k(a + \delta - t_0)})\),
on the aged fish of the biological samples. Fish are caught during the
year, so the observed (integer) age is shifted by age_offset (0.5 =
mid-year) to make t0 comparable with the true value.
Usage
fit_growth(
data,
species,
iter = 1,
source = NULL,
years = NULL,
t0 = NULL,
age_offset = 0.5
)Arguments
- data
a
floss_dataor aread_dataset()list.- species
species name.
- iter
iteration(s) (pooled).
- source
sources to use; default all.
- years
years to use; default all.
- t0
fix t0 at this value (
NULL= estimate).- age_offset
fraction of a year added to observed ages.