AvC {DLMtool}

Average Catch

Description

A simple average catch MP that is included to demonstrate a 'status quo' management option

Usage

AvC(x, Data, reps = 100, plot = FALSE)

Arguments

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?

Details

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{\sum_{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

Value

An object of class Rec-class with the TAC slot populated with a numeric vector of length reps

Required Data

See Data-class for information on the Data object

AvC: Cat, LHYear, Year

Rendered Equations

See Online Documentation for correctly rendered equations

Author(s)

T. Carruthers

See Also

Other Average Catch MPs: AvC_MLL(), DCACs()

Examples

Rec <- AvC(1, MSEtool::Cobia, reps=1000, plot=TRUE) # 1,000 log-normal samples with CV = 0.2