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

`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?

## Value

An object of class `Rec-class`

with the `TAC`

slot populated with a numeric vector of length `reps`

## 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 \(y\)

## Required Data

See `Data-class`

for information on the `Data`

object

`AvC`

: Cat, LHYear, Year

## Examples

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