sGenOptimum: Optimize sGen
In TESA-workshops/TESAsamSim: Closed-loop salmon simulator for 2021 TESA workshop
Description
Usage
Arguments
Value
View source: R/calcBenchmarks.R
Description
This is a component function within sGenSolver that estimates the log-
likelihood of the relevant Ricker function.
Usage
1
sGenOptimum(S, theta, sMSY)
Arguments
S
A numeric of spawner abundances.
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.
Value
Returns a list of prt (estimated productivity), epsilon (the
difference between sMSY and productivity), the negative log likelihood
used to estimate sGen, and S.
TESA-workshops/TESAsamSim documentation built on Feb. 6, 2021, 12:25 a.m.
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Description Usage Arguments Value
View source: R/calcBenchmarks.R
Description
This is a component function within sGenSolver that estimates the log- likelihood of the relevant Ricker function.
Usage
1 | sGenOptimum(S, theta, sMSY)
|
Arguments
S |
A numeric of spawner abundances. |
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. |
Value
Returns a list of prt (estimated productivity), epsilon (the difference between sMSY and productivity), the negative log likelihood used to estimate sGen, and S.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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