Hi Everyone,

I am currently working on a dataset that requires me to incorporate space
and time. Space (area--census tracts) is invariant, so change in my
variable is occurring only in terms of time. I have a count variable (count
of disease cases) followed over time. I know I can change it to rate and
use Gaussian models. I was trying to find out, if there are any
spatio-temporal models that allow me to use Poisson models. I may be wrong,
but I could only find Bayesian spatial-temporal models. Am I making a
correct assessment? If not, what R-packages would you recommend for me? I
saw that R-INLA may also be used, but I am not sure if I can use predictors
in the model?

Thank you so much.
-- 
Best,
................................................................................................................................................................................................................
*Tirth Raj Bhatta*
PhD Candidate, MGS(Master of Gerontological Studies, Miami University,
2010), MSc(Statistics, Tribhuvan University, Nepal, 2004)


*Research AssistantDepartment of Sociology*


*Case Western Reserve University10900 Euclid Avenue Cleveland, Ohio 44106*
*****Feel: Love Begins With Me*****

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