AvC_MLL {DLMtool} | R Documentation |
A example mixed control MP that uses the average catch output control MP together with a minimul size limit set at the size of maturity.
AvC_MLL(x, Data, reps = 100, plot = FALSE)
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? |
The average catch method is very simple. The mean historical catch is calculated and used to set
a constant catch limit (TAC). If reps
> 1 then the reps
samples are drawn from a log-normal
distribution with mean TAC
and standard deviation (in log-space) of 0.2.
For completeness, the TAC is calculated by:
\textrm{TAC} =\frac{∑_{y=1}^{\textrm{n}}{C_y}}{\textrm{n}}
where \textrm{TAC} is the the mean catch recommendation, n is the number of historical years, and C_y is the catch in historical year y.
The size of retention is set to the length of maturity.
This MP has been included for demonstration purposes of a mixed control MP.
An object of class Rec-class
with the TAC, Retention slot(s) populated
See Data-class
for information on the Data
object
AvC_MLL
: Cat, LHYear, Year
See Online Documentation for correctly rendered equations
Other Average Catch MPs:
AvC()
,
DCACs()
Rec <- AvC_MLL(1, MSEtool::Cobia, reps=1000, plot=TRUE) # 1,000 log-normal samples with CV = 0.2