Lawson, Andrew B. <br/><br/>
Using R for bayesian spatial and spatio-temporal health modeling / 
Andrew B. Lawson 
 - Boca Raton  CRC Press  2021 
 - 283p. 
 - The R Series .
<br/><br/> 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 
<br/><br/><label>ISBN: </label>9780367760670 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Medical statistics--Data processing.<br/>Medical mapping--Data processing.<br/>Medical statistics--Computer programs.<br/>Geospatial data--Computer processing.<br/>Geographic information systems.<br/>Information modeling--Simulation methods.<br/>R (Computer program language)<br/>Bayesian statistical decision theory.
<br/><br/><label>Dewey Class. No.: </label>610.21 LaW-A