R package with advanced diagnostics to evaluate a Stock Synthesis model. Diagnostics include residual analyses, hindcasting and cross-validation techniques, and retrospective analyses.
Max suggested adding some diagnostics for tagging data, like a runs test. Will need to look into this more and how feasible it would be. Also, our current example doesn't have tagging data to test it on but we could use one of the NMFS test models to develop the function and test it.
Max suggested adding some diagnostics for tagging data, like a runs test. Will need to look into this more and how feasible it would be. Also, our current example doesn't have tagging data to test it on but we could use one of the NMFS test models to develop the function and test it.