Fease: MP feasibility diagnostic

In Blue-Matter/MSEtool: Management Strategy Evaluation Toolkit

MP feasibility diagnostic

Description

What MPs may be run (best case scenario) for various data-availability scenarios and management constraints?

Usage

Fease(
  Data = NULL,
  TAC = TRUE,
  TAE = TRUE,
  SL = TRUE,
  Spatial = TRUE,
  names.only = TRUE,
  msg = TRUE,
  include.ref = FALSE
)

Arguments

Data	An object of class 'Data'. Optional. If Data object is included, the returned MPs are both feasible (in terms of management) and possible (sufficient data to run MP)
TAC	Logical. Are catch limits feasible for this fishery?
TAE	Logical. Are effort controls feasible for this fishery?
SL	Logical. Are size-selectivity regulations (either gear changes or size-retention regulations) feasible for this fishery?
Spatial	Logical. Are spatial closures feasible for this fishery?
names.only	Logical. Should only the names of the feasible MPs be returned (default)? If FALSE, a data frame with MP name, and two columns of logical values: Can (possible given data) and Fease (feasible given management constraints) is returned
msg	Logical. Should messages be printed to the console?
include.ref	Logical. Should reference MPs (e.g. FMSYref) be included as feasible methods? Default is FALSE

Value

Either a vector of MP names that are feasible for the fishery (default) or a 3 column data frame (names.only=FALSE).

Author(s)

T. Carruthers & A. Hordyk

Examples

## Not run: 
Fease(TAC=FALSE)
Fease(SL=FALSE, Spatial=FALSE)
Fease(Atlantic_mackerel, TAE=FALSE, names.only=FALSE)

## End(Not run)

Blue-Matter/MSEtool documentation built on Nov. 22, 2024, 8:23 p.m.