Description Usage Arguments Details Value Functions Required Data Rendered Equations Note Author(s) References Examples
A simple yield per recruit approximation to FMSY (F01) which is the position of the ascending YPR curve for which dYPR/dF = 0.1(dYPR/d0)
1 2 3 4 5 
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? 
Fmin 
The minimum fishing mortality rate inferred from the catchcurve analysis 
The TAC is calculated as:
\textrm{TAC} = F_{0.1} A
where F_{0.1} is the fishing mortality (F) where the slope of the yieldperrecruit (YPR) curve is 10% of the slope at the origin, and A is an estimate of current abundance.
The YPR curve is calculated using an equilibrium agestructured model with lifehistory and
selectivity parameters sampled from the Data
object.
The variants of the YPR MP differ in the method to estimate current abundance (see Functions section below). #'
An object of class Rec
with the TAC
slot populated with a numeric vector of length reps
YPR
: Requires an external estimate of abundance.
YPR_CC
: A catchcurve analysis is used to determine recent Z which given M (Mort)
gives F and thus abundance = Ct/(1exp(F))
YPR_ML
: A meanlength estimate of recent Z is used to infer current
abundance.
See Data for information on the Data
object
YPR
: Abun, LFS, MaxAge, vbK, vbLinf, vbt0
YPR_CC
: CAA, Cat, LFS, MaxAge, vbK, vbLinf, vbt0
YPR_ML
: CAL, Cat, LFS, Lbar, Lc, MaxAge, Mort, vbK, vbLinf, vbt0
See Online Documentation for correctly rendered equations
Based on the code of Meaghan Bryan
Meaghan Bryan and Tom Carruthers
Beverton and Holt. 1954.
1 2 3  YPR(1, DLMtool::SimulatedData, plot=TRUE)
YPR_CC(1, DLMtool::SimulatedData, plot=TRUE)
YPR_ML(1, DLMtool::SimulatedData, plot=TRUE)

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