Using R for Bayesian Spatial and Spatio-Temporal Health Modeling (Hardcover, 1)

1. Introduction and Data Sets2. R Graphics and Spatial Health Data3. Bayesian Hierarchical Models4. Computation5. Bayesian model Goodness of Fit Criteria6. Bayesian Disease Mapping Models Part I Basic Software Approaches 7. BRugs/OpenBUGS8. Nimble9. CARBayes10. INLA and R-INLA11. Clustering, Latent Variable and Mixture Modeling12. Spatio-Temporal Modeling with MCMC13. Spatio-Temporal Modeling with INLA Part II Some Advanced and Special topics 14. Multivariate Models15. Survival Modeling16. Missingness, Measurement Error and Variable Selection17. Individual Event Modeling18. Infectious Disease Modeling