MSEtool (version 2.0.1)

MMSE-class: Class 'MMSE'

Description

A Multi Management Strategy Evaluation object that contains information about simulation conditions and performance of MPs for a multi-stock, multi-fleet operating model.

Slots

Name

Name of the MMSE object. Single value. Character string

nyears

The number of years for the historical simulation. Single value. Positive integer

proyears

The number of years for the projections - closed loop simulations. Single value. Positive integer

nMPs

Number of management procedures simulation tested. Single value. Positive integer.

MPs

The names of the MPs that were tested. Vector of length nMPs. Character strings.

MPcond

The MP condition. Character ('bystock': an MP per stock, 'byfleet' and MP per stock and fleet, 'MMP' an MP for all stocks and fleets)

MPrefs

The names of the MPs applied for each stock (row) and fleet (column). An array.

nsim

Number of simulations. Single value. Positive integer

nstocks

Number of stocks. Single value. Positive integer

nfleets

Number of fleets. Single value. Positive integer

Snames

Names of the stocks

Fnames

Names of the fleets (matrix nstocks x nfleets)

Stocks

The stock operating model objects. List of Stocks

Fleets

The fleet operating model objects. Hierarchical list, fleets nested in stocks.

Obss

The fleet specific observation error operating model objects. Hierarchical list, fleets nested in stocks.

Imps

The fleet soecific implementation error operating model objects. Hierarchical list, fleets nested in stocks.

OM

A table of sampled parameters of the operating model. Data frame of nsim rows.

Obs

A table of sampled parameters of the observation model. Data frame of nsim rows.

B_BMSY

Simulated biomass relative to BMSY over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

F_FMSY

Simulated fishing mortality rate relative to FMSY over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

B

Simulated stock biomass over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

SSB

Simulated spawning stock biomass over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

VB

Simulated vulnerable biomass over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

FM

Simulated fishing mortality rate over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

C

Simulated catches (taken) over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

TAC

Simulated Total Allowable Catch (prescribed) over the projection (this is NA for input controls). An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

SSB_hist

Simulated historical spawning stock biomass. An array with dimensions: nsim, nages, nyears, nareas. Non-negative real numbers

CB_hist

Simulated historical catches in weight. An array with dimensions: nsim, nages, nyears, nareas. Non-negative real numbers

FM_hist

Simulated historical fishing mortality rate. An array with dimensions: nsim, nages, nyears, nareas. Non-negative real numbers

Effort

Simulated relative fishing effort in the projection years. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

PAA

Population at age in last projection year. An array with dimensions: nsim, nMPs, nages. Non-negative real numbers

CAA

Catch at age in last projection year. An array with dimensions: nsim, nMPs, nages. Non-negative real numbers

CAL

Catch at length in last projection year. An array with dimensions: nsim, nMPs, nCALbins. Non-negative real numbers

CALbins

Mid-points of the catch-at-length bins. Vector of length nCALbins. Positive real numbers.

MSY_P

Array of projected MSY by year with dimensions: nsim, nstock, nMP, proyears.

FMSY_P

Array of projected FMSY by year with dimensions: nsim, nstock, nMP, proyears.

SSBMSY_P

Array of projected Spawning Stock Biomass at MSY by year with dimensions: nsim, nstock, nMP, proyears.

Misc

Miscellanenous output such as posterior predictive data

Objects from the Class

Objects can be created by calls of the form new('MMSE', Name, nyears, proyears, nMPs, MPs, nsim, OMtable, Obs, B_BMSYa, F_FMSYa, Ba, FMa, Ca, OFLa, Effort, PAA, CAA, CAL, CALbins)