Dear all, Iâm 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 Iâm able to run the GWR analysis with the âggwrâ function of the âspgwrâ package but I donât 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 âIn eval(expr, envir, enclos) : non-integer #successes in a binomial glm!â 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 Iâm 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]]
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