knitr::opts_chunk$set( echo = FALSE, message = FALSE, warning = FALSE, message = FALSE, # dev = "svg", fig.width = 12, fig.height = 12 # fig.retina = 3 ) xaringanthemer::style_mono_accent( # base_color = nmfspalette::nmfs_cols("darkblue"), base_color = "#00467F", header_font_google = xaringanthemer::google_font("Josefin Sans"), text_font_google = xaringanthemer::google_font("Montserrat", "300", "300i"), code_font_google = xaringanthemer::google_font("Fira Mono"), colors = c(noaablue = "#00467F") )
class: title-slide, inverse
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Likelihood | Base | Block CA rec 1972 ---------- | ---- | ----------------- TOTAL | 0 | 0.12 Survey | 0 | 0.56 Length_comp | 0 | 0.81 Age_comp | 0 | -0.06 Discard | 0 | -0.07 Parm_priors | 0 | 0.13
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- No fishery ages + Dirichlet-multinomial likelihood
- New model shown in red in right-hand plots
]
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Recruitment
]
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Recruitment deviations
]
r table_sens("../tables/sens_table_n_comp_STAR_day2_request3.csv",
caption = "", format = "html") %>%
kableExtra::kable_styling(font_size = 12)
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]
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`r table_sens("../tables/sens_table_n_star08.csv",
caption = "", format = "html") %>%
kableExtra::kable_styling(font_size = 12)
`
---
### STAR Request 8 extras
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Request 8 showed little impact of removing the fixed-gear ages from 1999-2011
but large impact from removing all fixed-gear ages.
This suggests that there may be some conflict in the model related to either
the recent ages from 2012-onward or prior to 1999.
We tested the impact of removing early ages from all fisheries
either prior to 1990 or prior to 2000.
]
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]
---
### STAR Request 8 extras
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---
### STAR Request 8
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---
### STAR Request 8 extras
`r table_sens("../tables/sens_table_n_star08_extras.csv",
caption = "", format = "html") %>%
kableExtra::kable_styling(font_size = 12)
`
---
# 09 Request
### Conduct additional tuning and exploration of the southern model without the 1959- 1972 length composition data to see if a reasonable new base model can be developed. Provide the model comparisons slides and table(s) with likelihoods and key parameter outputs, selectivity outputs, etc.
---
### 09 Compare time series
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### 09 Compare recruitment
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### 09 Compare Triennial & WCGBTS
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### 08 Compare likelihoods
`r table_sens("../figures/STAR_request9/sens_table_s_star.csv",
caption = "", format = "html") %>%
kableExtra::kable_styling(font_size = 12)
`
---
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