FROM Cole in ss3sim_hake:
A few thoughts from my first round of testing. I just had a quick look so feel free to reject any of these suggestions if they don't make sense.
Control file
(1) We should set the years of the model to be 1-100. (I'm going to change the other models to be like this too)
(2) What do the advanced recruitment options do in an OM? I would guess we want to turn those off.
(3) We might want to up the max F, in case we have a scenario with F larger than what it is now we might not notice that it is being truncated (I assume that is what SS does)
(4) We probably want to have parametric selectivity so that it's more general and we can add time-varying process to those parameters. I believe the other models have asymptotic but that is something we should discuss further.
(5) It looks like the lambda for the age comps is not 1, we should probably set it at that for clarity, although obviously it doesn't matter for the OM.
Data file
(1) Again, set the years.
(2) Delete the months? Per on conversation and Ian's recommendation.
(3) Change so catches and indices match new years (we need expected values for all years available to our sampling functions).
(4) Verify that the length bins cover the entire plausible range of the length distribution. Again, we need lots of information in the expected values for sampling functions. We might want to set all models to have a finer resolution (1cm?) since we're examining binning strategies.
(5) Add length observations for all years. This contribution can be turned off if desired, but should be available for the other groups.
(6) Turn aging error off. Not sure what exactly that does in the context of an OM, but probably more clear if it's off. We'll be adding aging error to the EM this time around.
(7) Add age comps for each year and fleet.
FROM Cole in ss3sim_hake:
A few thoughts from my first round of testing. I just had a quick look so feel free to reject any of these suggestions if they don't make sense.
Control file
(1) We should set the years of the model to be 1-100. (I'm going to change the other models to be like this too)
(2) What do the advanced recruitment options do in an OM? I would guess we want to turn those off.
(3) We might want to up the max F, in case we have a scenario with F larger than what it is now we might not notice that it is being truncated (I assume that is what SS does)
(4) We probably want to have parametric selectivity so that it's more general and we can add time-varying process to those parameters. I believe the other models have asymptotic but that is something we should discuss further.
(5) It looks like the lambda for the age comps is not 1, we should probably set it at that for clarity, although obviously it doesn't matter for the OM.
Data file
(1) Again, set the years.
(2) Delete the months? Per on conversation and Ian's recommendation.
(3) Change so catches and indices match new years (we need expected values for all years available to our sampling functions).
(4) Verify that the length bins cover the entire plausible range of the length distribution. Again, we need lots of information in the expected values for sampling functions. We might want to set all models to have a finer resolution (1cm?) since we're examining binning strategies.
(5) Add length observations for all years. This contribution can be turned off if desired, but should be available for the other groups.
(6) Turn aging error off. Not sure what exactly that does in the context of an OM, but probably more clear if it's off. We'll be adding aging error to the EM this time around.
(7) Add age comps for each year and fleet.