Beverton-Holt and Ricker stock-recruitment models have been widely used in fisheries population dynamics. A lognormal error is often assumed in those stock-recruitment analyses. In this R Shiny App, we demonstrate that a bias results when a stock-recruitment model with lognormal error is used. We also provide R functions for converting unfished recruitment and steepness between two methods of bias adjustment.
To run the Shiny App locally use the following code in your R console:
library(shiny)
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