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

[Jailos Lubinda]

Hi Erin,

You might want to try CARBayesST package as well which has a couple of 
autoregressive models it supports too.

Good luck

Jailos

On 09/04/2019 15:55, Mingke Li wrote:
> 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
>
>
> 	[[alternative HTML version deleted]]
>
>
> _______________________________________________
> R-sig-Geo mailing list
> R-sig-Geo using r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo

	[[alternative HTML version deleted]]