DDe {DLMtool} | R Documentation |
Effort-based Delay - Difference Stock Assessment
Description
A simple delay-difference assessment with UMSY and MSY as leading parameters
that estimates E_{\textrm{MSY}}
using a
time-series of catches and a relative abundance index.
Usage
DDe(x, Data, reps = 100, plot = FALSE)
DDes(x, Data, reps = 100, plot = FALSE, LB = 0.9, UB = 1.1)
DDe75(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? |
LB |
The lowest permitted factor of previous fishing effort |
UB |
The highest permitted factor of previous fishing effort |
Details
This DD model is observation error only and has does not estimate process error (recruitment deviations). Assumption is that knife-edge selectivity occurs at the age of 50% maturity. Similar to many other assessment models it depends on a whole host of dubious assumptions such as temporally stationary productivity and proportionality between the abundance index and real abundance. Unsurprisingly the extent to which these assumptions are violated tends to be the biggest driver of performance for this method.
The method is conditioned on effort and estimates catch. The effort is calculated as the ratio of catch and index. Thus, to get a complete effort time series, a full time series of catch and index is also needed. Missing values are linearly interpolated.
A detailed description of the delay-difference model can be found in Chapter 9 of Hilborn and Walters (1992).
Value
An object of class Rec-class
with the TAE slot(s) populated
Functions
-
DDe
: Effort-control version. The recommended effort is EMSY. -
DDes
: Variant ofDDe
that limits the maximum change in effort to 10 percent. -
DDe75
: Variant ofDDe
where the recommended effort is 75\
Required Data
See Data-class
for information on the Data
object
DDe
: Cat, Ind, L50, MPeff, MaxAge, Mort, vbK, vbLinf, vbt0, wla, wlb
Rendered Equations
See Online Documentation for correctly rendered equations
See Also
Other Delay-Difference MPs:
DD()
Examples
DDe(1, Data=MSEtool::Atlantic_mackerel, plot=TRUE)
DDes(1, Data=MSEtool::Atlantic_mackerel, plot=TRUE)
DDe75(1, Data=MSEtool::Atlantic_mackerel, plot=TRUE)