fit_sp: Fit surplus production model using maximum likelihood...
In cfree14/splink: Covariate-linked biomass dynamic models

Description Usage Arguments Value Examples

This function fits a surplus production model using maximum likelihood estimation in TMB.

1	fit_sp(data, b_col, sp_col, p = 1, cov_col = NULL, cov_effect = NULL)

`data`	Data
`b_col`	Name of biomass column
`sp_col`	Name of surplus production column
`p`	Shape parameter
`cov_col`	Name of covariate column
`cov_effect`	Type of covariate effect: "fixed" or "random"

A list containing: (1) the data; (2) the model fit; and (3) the standard error report.

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)