Description Usage Arguments Details Value Required Data Rendered Equations Author(s) References See Also Examples
An MP that makes incremental adjustments to TAC recommendations based on the apparent trend in surplus production. Based on the theory of Mark Maunder (IATTC)
1 |
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? |
alp |
Condition for modifying the TAC (bounds on change in abundance) |
bet |
Limits for how much the TAC can change among years |
Note that this isn't exactly what Mark has previously suggested and is stochastic in this implementation.
The TAC is calculated as:
where \textrm{bet}_1 and \textrm{bet}_2 are elements in bet
,
r is the ratio of the index in the most recent two years, C_{y-1}
is catch in the previous year, b_1 and b_2 are ratio of index
in y-2 and y-1 over the estimate of catchability ≤ft(\frac{I}{A}\right),
and α_1, α_2, and α_3 are specified in argument
alp
.
An object of class Rec
with the TAC
slot populated with a numeric vector of length reps
A numeric vector of TAC recommendations
See Data for information on the Data
object
SPmod
: Cat, Ind
See Online Documentation for correctly rendered equations
T. Carruthers
http://www.iattc.org/Meetings/Meetings2014/MAYSAC/PDFs/SAC-05-10b-Management-Strategy-Evaluation.pdf
Other Surplus production MPs:
Fadapt()
,
Rcontrol()
,
SPMSY()
,
SPSRA()
,
SPslope()
1 | SPmod(1, Data=DLMtool::Atlantic_mackerel, plot=TRUE)
|
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