Hello, I am running my full model (fm) through lmer() and MCMCglmm() using the default settings:
model.lmer <- lmer(fm) model.MCMCglmm <- MCMCglmm(fm) And the summary outputs are almost exactly the same: summary(model.lmer) summary(model.MCMCglmm) However, when I run the models through dredge(): dredge(model.lmer) dredge(model.MCMCglmm) It ranks the models very differently for lmer() and MCMCglmm() in the model selection tables, even though I used the default settings for dredge() as well (ranked by AICc). I would assume the difference is because lmer() uses REML and MCMCglmm() uses Bayes Rule, however if this is the case then why weren’t the summary outputs different as well? I have checked through the documentation for all of the associated R packages and searched the R forums and Google for the answer, but I haven’t seen this question addressed. I would be grateful if someone could let me know why this happens. Thanks in advance! Corina -- View this message in context: http://r.789695.n4.nabble.com/Why-does-dredge-rank-models-differently-for-lmer-and-MCMCglmm-tp4710020.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
