| Fmmy {FLRef} | R Documentation |
Fmmy() Uses opt.bisect to derive the F at Maximum Median Yield from stochastic simulations
Fmmy( brp, sigmaR = 0.5, rho = 0, nyears = 100, iters = 250, yrs.eval = NULL, range = "missing", tol = 0.001, maxit = 15, verbose = TRUE )
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 |
range |
range of Fbar value to be evaluated |
tol |
tolerance |
maxit |
number of steps |
verbose |
cat comments |
list of FLPar, FLStock and FLBRP objects
data(ple4)
bh = srrTMB(as.FLSR(ple4,model=bevholtSV),spr0=spr0y(ple4))
brp = computeFbrp(ple4,bh,proxy=c("bx","msy"),x=35,blim=0.1)
fmmy = Fmmy(brp,sigmaR=0.7,rho=0.3)
getF(fmmy) # FMMY value
plotFsim(fmmy)