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Implement AGEPRO Recruitment Models #1

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9 of 22 tasks
efletcherPIFSC opened this issue Dec 15, 2022 · 1 comment
Open
9 of 22 tasks

Implement AGEPRO Recruitment Models #1

efletcherPIFSC opened this issue Dec 15, 2022 · 1 comment
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enhancement New feature or request feature: Recruitment

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@efletcherPIFSC
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efletcherPIFSC commented Dec 15, 2022 •
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Implement 20+ AGEPRO's Recruitment Models based on AGERPO Reference Manual and AGEPRO Core-Lib

  • 0. NULL (Default)
  • 1. Markov Matrix
  • 2. Empirical Per Spawning Biomass Distribution (SSB)
  • 3. Empirical
  • 4. Empirical Two-Stage Per SSB
  • 5. Beverton-Holt Curve w/ lognormal error
  • 6. Ricker Curve w/ lognormal error
  • 7. Shepherd Curve w/ lognormal errors
  • 8. Lognormal distribution
  • 9. [DEPRECATED] Time-Varying Empirical Recruitment Distribution
  • 10. Beverton-Holt curve w/ Autocorrelated lognormal error
  • 11. Ricker curve w/ Autocorrelated lognormal error
  • 12. Shepherd curve w/ Autocorrelated lognormal error
  • 13. Autocorrelated Lognormal Distribution
  • 14. Empirical CDF
  • 15. Empirical CDF Two-Stage
  • 16. (Predictor) Linear Recruits Per SSB w/ Normal Error
  • 17. (Predictor) Loglinear Recruits Per SSB w/ Lognormal Error
  • 18. (Predictor) Linear Recruitment w/ Normal Error
  • 19. (Predictor) Loglinear Recruitment w/ Lognormal Error
  • 20. Fixed
  • 21. Empirical CDF w/ Linear Decline to Zero
@efletcherPIFSC
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Added deprecated recruitment model 9 to handle edge cases. The class will return an error and recommend to use a "time-varying" instance of the Empirical Recruitment Model 3.

@efletcherPIFSC efletcherPIFSC mentioned this issue May 6, 2023
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efletcherPIFSC added a commit that referenced this issue May 9, 2023
@efletcherPIFSC
added two_stage_empirical_ssb(#1)
b162098
@efletcherPIFSC efletcherPIFSC mentioned this issue May 10, 2023
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@efletcherPIFSC efletcherPIFSC mentioned this issue Feb 6, 2024
Merged
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enhancement New feature or request feature: Recruitment
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@efletcherPIFSC