/DPSAM

Data Poor Stock Assessment Methods

Primary LanguageC++GNU General Public License v2.0GPL-2.0

DPSAM

Data Poor Stock Assessment Methods

You can run the current developer version by running the following command in R '''{r} runGitHub("DPSAM","smartell",ref="develop",subdir="/R/shiny/") '''

Table of contents

Structured Workplan

January 2015 Deliverable: Structured Workplan

  • Set up code repository for DPSAM on github.
  • Coordinate meeting with WPFMC staff (re: identify data sources & collaborators)

February 2015 Deliverable: meeting in Honolulu

  • Meeting with WPFMC staff re: data and overview of the integrated modeling framework, access to code repository.
  • Develop age-structured model with leading MSY-FMSY parameters & integrate into the Catch-MSY framework.

March 2015 Deliverable: conduct training workshop on ADMB in Honolulu

  • ADMB-training workshop in Honolulu HI.
  • Add routines to allow fitting auxiliary data (changes in mean size, trends in density, density estimates from UWVC surveys)
  • Contribution to Wakefield symposium.

June 2015

  • Develop web-based interface for running and viewing output from the DPSAM.
  • Review CIE comments on previous Catch-MSY analysis and address to the extent possible in the DPSAM.
  • Prepare preliminary report and address CIE review comments to the extent practicable.

July-August 2015

  • Simulation test DPSAM model.
  • Apply model to data poor stocks and compare results with existing methods.

September 2015

  • Submit draft report to council for feedback
  • Conduct training workshop for council & NMFS staff on the use of model and software.

October 2015

  • Present model for WPSAR review, presentation to SSC.

November-December 2015

  • Prepare final report
  • Submit manuscript for peer-review publication
  • Make open-source software and all source code available online.