CC1: Geromont and Butterworth (2015) Constant Catch

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

View source: R/MPs_Output.R

Description

The TAC is the average historical catch over the last yrsmth (default 5) years, multiplied by (1-xx)

Usage

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CC1(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0)

CC2(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.1)

CC3(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.2)

CC4(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.3)

CC5(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.4)

CurC(x, Data, reps = 100, plot = FALSE, yrsmth = 1, xx = 0)

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?

yrsmth

Years over which to calculate mean catches

xx

Parameter controlling the TAC. Mean catches are multiplied by (1-xx)

Details

The TAC is calculated as:

\textrm{TAC} = (1-x)C_{\textrm{ave}}

where x lies between 0 and 1, and C_{\textrm{ave}} is average historical catch over the previous yrsmth years.

The TAC is constant for all future projections.

Value

An object of class Rec with the TAC slot populated with a numeric vector of length reps

Functions

Required Data

See Data for information on the Data object

CC1: Cat, LHYear, Year

Rendered Equations

See Online Documentation for correctly rendered equations

Author(s)

T. Carruthers

References

Geromont, H. F., and D. S. Butterworth. 2015. Generic Management Procedures for Data-Poor Fisheries: Forecasting with Few Data. ICES Journal of Marine Science: Journal Du Conseil 72 (1). 251-61.

See Also

Other Constant Catch MPs: GB_CC()

Examples

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DLMtool documentation built on March 13, 2020, 2:52 a.m.