> R-help at mailing list - To UNSUBSCRIBE and more, see > making this mistake, but I'm not sure the MuMIn::dredge does. > with REML - try refitting with REML=FALSE. > You shouldn't be comparing models with fixed effects that are fitted > This question *might* be better on r-sig-mixed-models at. > if this is the case then why weren’t the summary outputs different > is because lmer() uses REML and MCMCglmm() uses Bayes Rule, however > the model selection tables, even though I used the default settings > It ranks the models very differently for lmer() and MCMCglmm() in > However, when I run the models through dredge(): > I am running my full model (fm) through lmer() and MCMCglmm() using the "truth." Ergo quite different looking models might fit essentiallyĮqually well, the differences in fits and therefore rankings being Models are merely data interpolators and not representations of This reflects the inconvenient reality that empirical Rankings that are quite different, but with model predictions that are ![]() One might also add that different model fitting criteria might produce Next message: Why does dredge() rank models differently for lmer() and MCMCglmm()?.Previous message: Why does dredge() rank models differently for lmer() and MCMCglmm()?.Why does dredge() rank models differently for lmer() and MCMCglmm()? Bert Gunter bgunter.4567 at ![]() ![]() Why does dredge() rank models differently for lmer() and MCMCglmm()?
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