Comparing datasets by surveillance method using spatial models

This software compares statistical methods to model habitat risk of CWD in white-tailed deer in Pennsylvania using Bayesian hierarchical models in R-INLA and compares these results with model output from WinBugs. The software also uses R-INLA with the Stochastic Partial Differential Approach (SPDE) to compare different surveillance methods to model CWD in relation to habitat features and age and sex of the deer using samples from 1) hunter-harvest deer, 2) road-kill deer, and 3) all surveillance data.