[R-sig-Geo] Simultaneous autoregressive model with temporal dimension

[Mingke Li]

Dear list,


I�m currently working with the simultaneous autoregressive mixed models by �lagsarlm� function in the package �spdep�. I have 5 years� data in 5 separate datasets, and the locations of the sample points (and also the sample size) don't vary from year to year; each sample point has different observed values in different years. Based on the 5 datasets, now I have 5 models, with the common set of predictors but different values (coefficients) from year to year.


My question is, how can I get a �generalized� simultaneous autoregressive model for all years? In other words, can I extend my current model to a mixed model like GLMM by introducing the year as a random effect, as implemented in �lme4::glmer�? How should I add in the temporal dimension in the simultaneous autoregressive model?


Any thoughts or advice are welcome. Thank you in advance.


Erin


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