Dear useRs: I try to use mob from the party package (thanks Achim and Co.!) to model based recursive partition a data set. The model is a logistic regression specified with model=glinearModel and family=binomial(). Running mob results in a few warnings of the type: In glm.fit ... algorithm did not converge. As I speculate that this may be due to an insufficient number of iterations I am wondering if any of you knows how to pass arguments to glm.fit from within mob (e.g., epsilon and maxit). All my attempts to do it by myself failed. All suggestions are welcome.
My system: Windows XP, R2.10.1. Thank you. Tudor -- View this message in context: http://r.789695.n4.nabble.com/mob-party-package-question-tp2252500p2252500.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.
