`SPSRA.Rd`

A surplus production equivalent of DB-SRA that uses a demographically derived prior for intrinsic rate of increase (McAllister method, below)

```
SPSRA(x, Data, reps = 100, plot = FALSE)
SPSRA_ML(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?

An object of class `Rec-class`

with the `TAC`

slot populated with a numeric vector of length `reps`

The TAC is calculated as: $$\textrm{TAC} = K D \frac{r}{2}$$ where \(K\) is estimated unfished biomass, \(D\) is depletion, and \(r\) is the estimated intrinsic rate of increase.

Like all SRA methods, this MP requires a time-series of catch extending from the beginning of exploitation.

`SPSRA`

: Base version. Requires an estimate of current depletion`SPSRA_ML`

: Variant that uses a mean-length mortality estimator to obtain a prior for current stock depletion.

See `Data-class`

for information on the `Data`

object

`SPSRA`

: Cat, Dep, FMSY_M, L50, MaxAge, Mort, steep, vbK, vbLinf, vbt0, wla, wlb

`SPSRA_ML`

: CAL, Cat, Dep, FMSY_M, L50, Lbar, Lc, MaxAge, Mort, Year, steep, vbK, vbLinf, vbt0, wla, wlb

See Online Documentation for correctly rendered equations

McAllister, M.K., Pikitch, E.K., and Babcock, E.A. 2001. Using demographic methods to construct Bayesian priors for the intrinsic rate of increase in the Schaefer model and implications for stock rebuilding. Can. J. Fish. Aquat. Sci. 58: 1871-1890.

```
SPSRA(1, MSEtool::SimulatedData, plot=TRUE)
#> TAC (median)
#> 1114.265
SPSRA_ML(1, MSEtool::SimulatedData, plot=TRUE)
#> TAC (median)
#> 3969.005
```