bbsBayes2 - Hierarchical Bayesian Analysis of North American BBS Data

The North American Breeding Bird Survey (BBS) is a long-running program that seeks to monitor the status and trends of birds that spend the breeding season in Canada and the United States. Since its start in 1966, the BBS has accumulated almost 60 years of data for over 500 species of North American Birds. Given the temporal and spatial structure of the data, hierarchical Bayesian models are used to assess the status and trends of these 500+ species of birds. 'bbsBayes2' allows you to perform hierarchical Bayesian analysis of BBS data. You can fit 9 different models to the observations for one or more species, and you can take specify how the data should be stratified, what spatial and temporal extent of the data should be included, the settings for the sampling of the posterior distributions, access and modify the Stan models, and explore model diagnostics, including prior and posterior predictions, convergence, and measures of relative model fit (`loo` and cross-validation).