vbgf_func: Predict length given VBGF parameters
In ss3sim: Fisheries Stock Assessment Simulation Testing with Stock Synthesis
Description
Usage
Arguments
Value
View source: R/growth_estimation.R
Description
External estimation procedure for von Bertalanffy growth.
Usage
1
vbgf_func(L1, L.inf, k, ages, a3)
Arguments
L1
mean length at youngest age which is well sampled in the data (a3)
L.inf
Length at infinity
k
von Bertalanffy growth rate parameter
ages
vector of ages in the data for which you want to predict mean
length-at-age
a3
youngest age which is well sampled in the data
Value
a vector of lengths predicted which correspond to the input ages
vector.
ss3sim documentation built on Nov. 9, 2019, 1:06 a.m.
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Description Usage Arguments Value
View source: R/growth_estimation.R
Description
External estimation procedure for von Bertalanffy growth.
Usage
1 | vbgf_func(L1, L.inf, k, ages, a3)
|
Arguments
L1 |
mean length at youngest age which is well sampled in the data (a3) |
L.inf |
Length at infinity |
k |
von Bertalanffy growth rate parameter |
ages |
vector of ages in the data for which you want to predict mean length-at-age |
a3 |
youngest age which is well sampled in the data |
Value
a vector of lengths predicted which correspond to the input ages vector.
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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