
Dear all, 

I’m a PhD student on forestry and I would like to apply a logistic
Geographically Weighted Regression (GWR) and use the standard errors of the
parameter estimates. So far I’m able to run the GWR analysis with the “ggwr”
function of the “spgwr” package but I don’t get the standard errors. 

I call the function with

gwr.cuad=ggwr(PresenceAbsence~Var1+Var2,family=binomial,data=sample.sp,fit.points=regression.points,adapt=k)

And apart of the gwr.cuad object I find the following warning for each
regression point

“In eval(expr, envir, enclos) :  non-integer #successes in a binomial glm!”

Does anybody know how to find those coefficient standard errors in R? Should
I use another function or package? If I should program it I would be
interested to get some clues. Or I’m just doing something wrong? 

Thanks in advance, 

Marc


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