Description Usage Arguments Details Value Functions Required Data Rendered Equations Author(s) Examples
A stock reduction analysis (SRA) model is fitted to the age-composition from the last 3 years (or less if fewer data are available)
1 2 3 |
x |
A position in the data object |
Data |
A data object |
reps |
The number of stochastic samples of the MP recommendation(s) |
plot |
Logical. Show the plot? |
A stock reduction analysis (SRA) model is fitted to the age-composition from the last 3 years (or less if fewer data are available) assuming a constant total mortality rate (Z) and used to estimate current stock depletion (D), F_\textrm{MSY}, and stock abundance (A).
Abundance is estimated in the SRA. F_{\textrm{MSY}} is calculated assuming knife-edge vulnerability at the age of full selection.
The TAC is calculated as F_\textrm{MSY} A. CompSRA4010
uses a 40-10
harvest control rule to reduce TAC at low biomass.
An object of class Rec
with the TAC
slot populated with a numeric vector of length reps
CompSRA
: TAC is FMSY x Abundance
CompSRA4010
: With a 40-10 control rule based on estimated depletion
See Data for information on the Data
object
CompSRA
: CAA, Cat, L50, LFC, LFS, MaxAge, Mort, steep, vbK, vbLinf, vbt0, wla, wlb
CompSRA4010
: CAA, Cat, L50, LFC, LFS, MaxAge, Mort, steep, vbK, vbLinf, vbt0, wla, wlb
See Online Documentation for correctly rendered equations
T. Carruthers
1 2 3 4 5 6 | ## Not run:
CompSRA(1, DLMtool::SimulatedData, plot=TRUE)
## End(Not run)
CompSRA4010(1, DLMtool::SimulatedData, plot=TRUE)
|
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