AvC {DLMtool} | R Documentation |
A simple average catch MP that is included to demonstrate a 'status quo' management option
AvC(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
An object of class Rec-class
with the TAC
slot populated with a numeric vector of length reps
See Data-class
for information on the Data
object
AvC
: Cat, LHYear, Year
See Online Documentation for correctly rendered equations
T. Carruthers
Other Average Catch MPs:
AvC_MLL()
,
DCACs()
Rec <- AvC(1, MSEtool::Cobia, reps=1000, plot=TRUE) # 1,000 log-normal samples with CV = 0.2