[R-sig-Geo] spatio-temporal simultaneous autoregression model

Corey Sparks corey.sparks at UTSA.EDU
Wed Aug 6 16:45:22 CEST 2014


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.



More information about the R-sig-Geo mailing list