Dear listers and Prof. Bivand,
I started working on spatial econometrics and R three weeks ago and this is my first time posting here.
My dependent variable is a count variable and its variance is much greater than its mean. So I choose negative binomial regression and use glm.nb() to do it. I also suspect that there maybe spatial autocorrelation issue in the residuals. In order to reduce this residual spatial autocorrelation in the error of my model, I am using the Moran Eigenvectors approach. And I use the inverse distance matrix as the weights. Below is my model and the error message from R:
fypME<-ME(Count ~ CTN + CSTN + Price + Rating, data=fyp, family=negative.binomial(theta=2.9, link=log), listw=fyp.dists.inv.listw, alpha=0.05)
Error in if (pIZ > alpha) stop("base correlation larger than alpha") : missing value where TRUE/FALSE needed
Could anybody help me with this? What does this error mean? and how should I fix this?
Thanks a lot!
Michelle