getRandomParameters | R Documentation |
Random model parameters with constraints in Fmsy and relative recruitment (Rrel = R/Rmax)
Shorthand function for a specific asymptotic weight
getRandomParameters(parameter.names = c("A", "n", "eta_m", "eta_F", "a", "Fm",
"Winf", "epsilon_a", "epsilon_r"), parameter.value = c(4.5, 0.75, 0.25,
0.05, 0.35, 0.25, 10000, 0.8, 0.1), parameter.sd = c(0, 0, 0, 0.5, 0, 0, 0,
0, 0), parameter.cv = c(0.5, 0, 0.3, 0, 0.5, 0, 0, 0.1, 0.5),
parameter.lbound = c(0, 0, 0.01, 0, 0.01, 0, 0, 0, 0),
parameter.ubound = c(Inf, 0, Inf, Inf, Inf, 0, 0, 0.99, Inf),
parameter.unif = c(F, F, F, F, F, F, F, F, F), Rrel.gt = -Inf,
Fmsy.gt = 0)
getRandomParameters.fixedWinf(winf, Rrel.gt = -Inf, Fmsy.gt = 0)
parameter.names |
Character vector. Names of the parameters |
parameter.value |
Numeric vector. Parameter mean values |
parameter.sd |
Numeric vector. Standard deviation of the parameters |
parameter.cv |
Numeric vector. Coefficient of variation of log transformed parameters |
parameter.lbound |
Numeric vector. Lower bound of the distributions |
parameter.ubound |
Numeric vector. Upper bound of the distributions |
parameter.unif |
Logical vector. Use uniformly distributed parameters |
Rrel.gt |
Numeric. Relative recruitment constraint. It allows parameters that lead to Rrel at least equal to Rrel.gt |
Fmsy.gt |
Numeric. Fmsy constraint. It allows parameters that lead to Fmsy at least equal to Fmsy.gt |
winf |
Numeric. Asymptotic weight |
Parameters
Parameters
alko
alko
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