R package with advanced diagnostics to evaluate a Stock Synthesis model. Diagnostics include residual analyses, hindcasting and cross-validation techniques, and retrospective analyses.
To improve testing of new functions, we can create a github workflow to run SS models from the Stock synthesis test models repo and then test ss3diags functions on those models. This will help make sure the functions work with SS models of different levels of complexity and data types. An example of this workflow can be found here.
To improve testing of new functions, we can create a github workflow to run SS models from the Stock synthesis test models repo and then test ss3diags functions on those models. This will help make sure the functions work with SS models of different levels of complexity and data types. An example of this workflow can be found here.