Release
    notes for Stock Synthesis 3.30.21
  Feb
    10, 2023
  Greetings
    Stock Synthesis Users, 
  A new
      release
      of Stock Synthesis is now available. The most notable changes
    in 3.30.21 are:
  - 
    
      Introduction
        of the capability to have a different Dirichlet-multinomial
        parameter for discard length comp rather than sharing the same
        parameter as retained catch length comp.  We did not extend this
        split capability to age composition or generalized size
        composition as it seemed unlikely that differential weighting of
        comps would be needed in those cases.  This change comes with a
        new input structure only if you are using the new feature.  With
        the new input approach we did not keep a way to share the same
        parameter for both discard and retained and combined comps. 
        While that would have given more backward compatibility, it is
        illogical to think that discard and retained catch would have
        the same sampling characteristics. 
- 
    
      SS3
        is now compiled with ADMB 13.1.  Note that SS3.30.20 used ADMB
        13.0 which made several helpful revisions to the console output
        and we made corresponding revisions to the SS3 specific console
        output.  We highly recommend that you study the new features of
        ADMB (listed here)
        so you can use its advanced command line features.  In
        particular, the -hess_step command lets ADMB use the inverse
        Hessian to make additional iterations to achieve exact
        convergence, and the -nuts command enables more efficient MCMC sampling. 
- 
    
      Our
        development team continues to advance our use of GitHub
        features.  Notably, you can now view the change
        log as a GitHub project board incorporating links to the
        list of issues worked for this release. Find more information at
        the GitHub SS3 readme. 
- 
    
      New
        Team Member:  Elizabeth Gugliotti has joined the SS3 team. She
        brings great skills in R and Git to continue our enhancement of
        the SS3 ecosystem of tools. 
- 
    
      Unfortunately,
        we did not get to making Multivariate
        Tweedie composition weighting operational, but it is close. 
- 
    
      Upcoming: 
        Following the CAPAM workshop on good practices, I’ve begun
        thinking that the SS3 philosophy of great flexibility in options
        needs to be tempered with a good practices approach.  The old
        options won’t disappear, but more suggestions will appear. 
  There
    are no mandatory input changes. As always, we recommend that you
    update to the latest version of Stock Synthesis to take advantage of
    augmentations and bug fixes. Updating to the newest version even if
    no new features pertain to your model ensures that the *.ss_new
    files created whenever you do a run contain updated notes on what we
    consider to be good practices with respect to SS3.
  
    Change
    Log:  Now directly linked to the included issues on GitHub.
  VLAB
    updates:  No updates at VLAB as we are migrating more resources to
    GitHub. See the Stock Synthesis
    homepage for the latest links.  The message forum at VLAB is
    still a good way to post inquiries.
  GUI -
    Stock Synthesis Interface (SSI) updates: The GUI
    has been updated to accommodate changes for this release of Stock Synthesis. 
  ss3sim
    updates: See the ss3sim
    vignettes for information on getting started.
  r4ss
    updates: r4ss has been updated to maintain compatibility with Stock
    Synthesis 3.30.21.
  SS3
    User Manual:  Most documentation for Stock Synthesis can be viewed
    at https://nmfs-stock-synthesis.github.io/doc/.
    In particular, there is now an html
      version of the user manual.
  Contact
    us:  Please do not hesitate to report bugs, ask a question about
    SS3, or request a feature. Contact the SS3 development team by
    opening an issue
    (for those with GitHub accounts), posting on the forums,
    or emailing nmfs.stock.synthesis@noaa.gov.