Fsim: Fsim() Simulates stochastic stock dynamics under under...

In Henning-Winker/FLRef: Reference point computation for advice rules

Fsim() Simulates stochastic stock dynamics under under constant Fbrp

Description

Fsim() Simulates stochastic stock dynamics under under constant Fbrp

Usage

Fsim(
  brp,
  Ftgt = NULL,
  sigmaR = 0.5,
  rho = 0,
  nyears = 100,
  iters = 250,
  yrs.eval = NULL,
  verbose = TRUE
)

Arguments

brp	output object from computeFbrp() of class FLBRP
sigmaR	lognormal recruitment standard deviation
rho	AR1 recruitment autocorrelation coefficient
nyears	number of simulation years
iters	number simulation iterations
yrs.eval	last years to be used evaluation period, default nyears/2
verbose	cat comments

Value

list of FLPar, FLStock and FLBRP objects

Examples

data(ple4)
hs = srrTMB(as.FLSR(ple4,model=segreg),spr0=spr0y(ple4),lplim=0.05,uplim=0.25)
blim = params(hs)[[2]]
brp = computeFbrp(ple4,hs,proxy=c("sprx","f0.1","msy"),x=40,blim=blim)
ploteq(brp)
fsim = Fsim(brp,sigmaR=0.7,rho=0.3)
plotFsim(fsim)
plotFsim(fsim,panels=2)

Henning-Winker/FLRef documentation built on Oct. 10, 2024, 2:35 p.m.