Hi everyone,

In R, the function lm.LMtests is used to select which spatial model fits
better the data, an error or lag one. It looks to me that there are some
“limitations” using this function like being constraint to use only
row-standardized spatial weights and it does not support weighted lm object
as argument. Also it is not helpful when both LM tests (LMerr and LMlag) are
significant (let’s say their robust forms are not).

So my question is: is there another way or approach to select between a
spatial error and lag model?



Thanks for your time.



Adrian

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