Code release for simulated tag-return study for monitoring invasive fish removals

This repository is a code release to create and analyze simulated datasets to represent a tag-return study for the purposes of estimating annual removal rates of an invasive fish. The simulated scenarios cover ranges of parameters such as the number of fish tagged per year, magnitude of annual harvest rate, length of simulated study, probability of tag retention, probability of tag recovery, and variation in annual harvest rate. The code then fits a Bayesian model to the simulated data in order to explore what parameters or combinations of parameters are more or less likely to be successfully fit by the models.