Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

The Book Fills A Void In The Literature And Available Software, Providing A Crucial Link For Students And Professionals Alike To Engage In The Analysis Of Spatial And Spatio-temporal Health Data From A Bayesian Perspective Using R. The Book Emphasizes The Use Of Mcmc Via Nimble, Brugs, And Carbayes, But Also Includes Inla For Comparative Purposes. In Addition, A Wide Range Of Packages Useful In The Analysis Of Geo-referenced Spatial Data Are Employed And Code Is Provided. It Will Likely Become A Key Reference For Researchers And Students From Biostatistics, Epidemiology, Public Health, And Environmental Science--