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Efficient GLMM Analysis for Catch History and Recruitment Data

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Utilize GLMM factors for precise analysis of catch history, recruitment, and fleet data. Evaluate vessel effects and age compositions with ease.

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Efficient GLMM Analysis for Catch History and Recruitment Data

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  1. Aurora rockfish STAR panel request responses

  2. “simple” devs vs. dev. vecs

  3. Request 1: GLMM factors AFSC slope Triennial NWFSC slope NWFSC combo

  4. Request 1: GLMM factors Strata A 49.0 40.5 300 500 B 40.5 34.5 300 500

  5. Request 1: GLMM factors Strata A 49.0 40.5 300 549 B 40.5 34.5 300 549

  6. Request 1: GLMM factors Strata A 49.0 40.5 300 549 B 40.5 34.5 300 549

  7. Request 1: GLMM factors Strata A 49.0 40.5 300 549 B 40.5 34.5 300 549 C 34.5 32.0 300 549 D 37.5 32 549 600

  8. Vessel effect

  9. Request 2: Mean Lt, Age residuals Take it away Chris!

  10. Request 3: Neffvs N times series Fleet 1 = Trawl Fleet 2 = Non-trawl

  11. Request 3: Neffvs N times series Fleet 4 = Triennial Fleet 5 = NWFSC slope Fleet 7 = NWFSC combo

  12. Request 8: Area specific length and age comps Lengths Ages

  13. Request 8: Age comps by year All years 2003 2008 2009

  14. Request 4: Single sex model

  15. Request 5: Combine trawl and non-trawl

  16. Request 6: Catch history & recruitment

  17. Request 6: Catch history & recruitment

  18. Request 6: Catch history & recruitment

  19. Request 7: Recruitment estimation

  20. Request 7: Recruitment estimation

  21. Request 4: Single sex model

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