You need to be careful with the incidence data if the Gaussian model isn't appropriate, I assume that many counties have very low prevalence, so a count data model may be more appropriate. I would check out INLA, it will do Bayesian models over space and time, there are some tutorials/examples here: http://www.r-inla.org/examples <http://www.r-inla.org/examples>
My 2 cents Corey ----- Corey Sparks Assistant professor Department of Demography The University of Texas at San Antonio 501 West Cesar E Chavez Blvd San Antonio TX 78207 Corey.sparks 'at' utsa.edu 210 458 3166 <tel:210%20458%203166> Latitude: 29.423614 / Longitude: -98.504282 -- View this message in context: http://r-sig-geo.2731867.n2.nabble.com/spatio-temporal-simultaneous-autoregression-model-tp7586871p7586886.html Sent from the R-sig-geo mailing list archive at Nabble.com. _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
