Hi, I know this is probably a basic question... But I don't seem to find the answer.
I'm fitting a GLM with a Poisson family, and then tried to get a look at the predictions, however the offset does seem to be taken into consideration: model_glm=glm(cases~rhs(data$year,2003)+lhs(data$year,2003), offset=(log(population)), data=data, subset=28:36, family=poisson()) predict (model_glm, type="response") I get cases not rates... I've tried also model_glm=glm(cases~rhs(data$year,2003)+lhs(data$year,2003)+ offset(log(population)), data=data, subset=28:36, family=poisson()) with the same results. However when I predict from GAM, using mgcv, the predictions consider the offset (I get rates). I'm missing something? I would appreciate any comment, thanks Sandra -- View this message in context: http://r.789695.n4.nabble.com/basic-question-predict-GLM-offset-tp4558168p4558168.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
