Description Usage Arguments Details Value Required Data Rendered Equations Author(s) See Also Examples

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

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`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`

with the `TAC`

slot populated with a numeric vector of length `reps`

See Data 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()`

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```
Loading required package: snowfall
Loading required package: snow
```

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