MP feasibility diagnostic — Fease • MSEtool Functions

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
)

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

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

T. Carruthers & A. Hordyk

if (FALSE) { # \dontrun{
Fease(TAC=FALSE)
Fease(SL=FALSE, Spatial=FALSE)
Fease(Atlantic_mackerel, TAE=FALSE, names.only=FALSE)
} # }