@book{91214,
	author = {Lawson, Andrew},
	title = {Using R for Bayesian spatial and spatio-temporal health modeling /},
	publisher = {Chapman & Hall/CRC,},
	year = {2021.},
	series = {Chapman & Hall/CRC the R series},
	address = {Boca Raton :},
	edition = {1st.},
	note = {<P>1. Introduction and Data Sets<BR>2. R Graphics and Spatial Health Data<BR>3. Bayesian Hierarchical Models<BR>4. Computation<BR>5. Bayesian model Goodness of Fit Criteria<BR>6. Bayesian Disease Mapping Models</P><P>Part I Basic Software Approaches</P><P>7. BRugs/OpenBUGS<BR>8. Nimble<BR>9. CARBayes<BR>10. INLA and R-INLA<BR>11. Clustering, Latent Variable and Mixture Modeling<BR>12. Spatio-Temporal Modeling with MCMC<BR>13. Spatio-Temporal Modeling with INLA</P><P>Part II Some Advanced and Special topics</P><P>14. Multivariate Models<BR>15. Survival Modeling<BR>16. Missingness, Measurement Error and Variable Selection<BR>17. Individual Event Modeling<BR>18. Infectious Disease Modeling</P>},
	url = {https://www.taylorfrancis.com/books/9781003043997}
}