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 -- View this message in context: http://n4.nabble.com/coefficient-standard-errors-in-logistic-GWR-tp1586623p1586623.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]]