fit_sr: Fit stock recruit model using maximum likelihood estimation
In cfree14/splink: Covariate-linked biomass dynamic models

Description Usage Arguments Value Examples

This function fits a Ricker or Beverton-Holt stock recruitment model using maximum likelihood estimation in TMB.

1	fit_sr(data, b_col, r_col, type, cov_col = NULL, cov_effect = NULL)

`data`	A data frame
`b_col`	Name of the column with biomass
`r_col`	Name of the column with recruitment
`type`	Stock recruit type: "ricker" or "bev-holt"
`cov_col`	Name of the column with the covariate

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

data <- splink::ram_wc
output <- splink::fit_sr(data=data, b_col="b_scaled", r_col="r_scaled", type="ricker")
results <- splink::get_results(output)
splink::plot_results(results)
splink::plot_fits_sr(output, b_col="b_scaled", r_col="r_scaled", plotdir="~/Desktop", plotname="test.pdf")