sGenSolver: Solve for sGen
In TESA-workshops/TESAsamSim: Closed-loop salmon simulator for 2021 TESA workshop

Description Usage Arguments Value Examples

This function solves for sGen based on sMSY and the log-likelihood estimated in sGenOptimum.

1	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)