This repo is for this blog post here.

If you are here that means you are likely interested in running the code from that post. The R sub-folder pretty much has all you need.

1. .R/fit_real_data.R: Fits the occupancy model to coyote and gray squirrel camera trap data.
2. ./R/linear_predictor_examples.R: Some examples I used in the blog post for how the first and second-order parameters work.
3. ./R/mcmc_utility.R: Contains the split_mcmc() function I created to make predictions way easier with the MCMC output.
4. ./R/plot_results.R: Plotting out the results from the model for both occupancy and detection.
5. ./R/simulate_data.R: Not a part of the blog post, but a script that simualtes data and fits the model to those data.

The only other script you may want is in the ./nimble sub-folder, which is ./nimble/rota_model.R. It's the nimble code for the model I fitted to the coyote and gray squirrel data.