fit_sp_base: Fit surplus production model using maximum likelihood...
In cfree14/splink: Covariate-linked biomass dynamic models
Description
Usage
Arguments
Value
Examples
Description
This function fits a surplus production model using maximum likelihood estimation in TMB.
Usage
1
fit_sp_base(data, b_col, sp_col, p = 1)
Arguments
data
A prepped data frame with the following required columns: stockid, year, biomass_scaled, sp_scaled
p
The shape parameter
Value
A list containing: (1) the data; (2) the model fit; and (3) the standard error report.
Examples
1
2
3
4
5
data <- splink::ram_ne
output <- splink::fit_sp(data=data, b_col="tb_scaled", sp_col="sp_scaled", p=0.2)
results <- splink::get_results(output)
splink::plot_results(results)
splink::plot_fits(output)
cfree14/splink documentation built on Dec. 19, 2021, 2:57 p.m.
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Description Usage Arguments Value Examples
Description
This function fits a surplus production model using maximum likelihood estimation in TMB.
Usage
1 | fit_sp_base(data, b_col, sp_col, p = 1)
|
Arguments
data |
A prepped data frame with the following required columns: stockid, year, biomass_scaled, sp_scaled |
p |
The shape parameter |
Value
A list containing: (1) the data; (2) the model fit; and (3) the standard error report.
Examples
1 2 3 4 5 | data <- splink::ram_ne
output <- splink::fit_sp(data=data, b_col="tb_scaled", sp_col="sp_scaled", p=0.2)
results <- splink::get_results(output)
splink::plot_results(results)
splink::plot_fits(output)
|
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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