I now understand how you did the plus-group eight. However, it is better when using these models to track more length-classes in the model and aggregate the data when you fit the model. This is what my model does. So in your case:
The dynamics would consider 17 size-classes but the data (and model predictions) for size-classes 14+ would be aggregated. Given this you can use the the growth curve to predict weight-at-length for all sizes rather than having a "special" weight for the last class. Also, given varying recruitment, the weight of the last class would change over time.
Darcey / Steve, another matter for the "to do" list
quantifish
commented
8 years ago
Hi Siddeek,
I now understand how you did the plus-group eight. However, it is better when using these models to track more length-classes in the model and aggregate the data when you fit the model. This is what my model does. So in your case:
The dynamics would consider 17 size-classes but the data (and model predictions) for size-classes 14+ would be aggregated. Given this you can use the the growth curve to predict weight-at-length for all sizes rather than having a "special" weight for the last class. Also, given varying recruitment, the weight of the last class would change over time.
Darcey / Steve, another matter for the "to do" list
Andre