FLBDsim class and methods

A class to simulate the growth of populations aggregated in biomass.

Arguments

...	Empty or FLQuants for 'biomass', 'catch' and 'uncertainty' slots and optionally the values for the rest of the slots.

An object of class FLBDsim.

The FLBDsim has the following slots:

name: The name of the stock.
desc: A description of the object.
range: The range of the object.
biomass: An FLQuant to store the biomass of the stock.
gB: An FLQuant to store the surplus production of the stock.
catch: An FLQuant to store the catch of the stock.
uncertainty: An FLQuant to store the uncertainty that is multiplied to the biomass in every step of the simulation.
covar: An FLQuants to store the covariates that are part of the growth model.
model: A character with the name of the model to simulate the recruitment process.
params: An array with dimension [numb.params, numb.year, numd.season, numb.iteration] with year and season and iteration dependent parameters of the growth model.
alpha: An array with dimension [numb.year, numd.season, numb.iteration] with year, season and iteration dependent value bigger than one which indicates, in percentage, how big can be the biomass in comparison with the carrying capacity.
name: The name of the object.
desc: Character with the description of the object.
range: A numeric vector with the range of the object as in other FLR objects.