Dear list I have a data set involving binary responses (successes failures) for which some explanatory variables result in a quasi complete separation problem. To deal with the separation problem I tried to run a glm with "bayesglm" in the arm package.
However when I try to compare different bayesglm models, the anova doesn't give any value. > anova(model1,model2,test="Chi") Analysis of Deviance Table ... Resid. Df Resid. Dev Df Deviance Pr(>Chi) 1 336 118.67 2 336 118.68 0 -0.0069818 Does anyone know how to solve this problem ? Thank you in advance for your time and for any advice you could provide Best regard -- View this message in context: http://r.789695.n4.nabble.com/Model-comparison-with-bayesglm-tp4637989.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.
