AvC_MLL: Average Catch with a size limit

In zanbi/DLMtool: Data-Limited Methods Toolkit

Description

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.

Usage

AvC_MLL(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{∑_{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.

Value

An object of class Rec with the TAC, SL slot(s) populated

Required Data

See Data for information on the Data object

AvC_MLL: Cat, LHYear, Year

Rendered Equations

See Online Documentation for correctly rendered equations

See Also

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

Examples

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

zanbi/DLMtool documentation built on April 12, 2020, 12:24 a.m.