View source: R/calcBenchmarks.R
sGenSolver | R Documentation |
This function solves for sGen based on sMSY and the log-likelihood estimated in sGenOptimum.
sGenSolver(theta, sMSY)
theta |
A numeric vector of Ricker stock recruit parameters: alpha, beta, and sigma. |
sMSY |
A numeric of spawner abundance estimated to result in maximum sustainable yield. |
Returns a numeric that is the spawner abundance that minimizes the the log likelihood.
Stock-recruit parameters approximate those of Fraser River sockeye salmon
Chilko CU.
alpha = 1.2
beta = 1.5
sigma = 0.8
theta = c(alpha, beta, sigma)
sMSY = 0.3
sGenSolver(theta, sMSY)
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