Re: [R] Why does dredge() rank models differently for lmer() and MCMCglmm()?

Hi Bert, Thanks for the model selection philosophy! It’s definitely not a perfect world in terms of trying to understand the “truth, but I find that there are so many opinions about how to do model selection that I just choose one and go with it :) My best, Corina -- Dr. Corina Logan

Re: [R] Why does dredge() rank models differently for lmer() and MCMCglmm()?

Hi Ben, Thank you so much for your helpful advice! I changed the lmer model to REML=FALSE and the best-fitting model in dredge is MUCH more similar to what I found with MCMCglmm. My best, Corina -- Dr. Corina Logan Leverhulme Early Career Research Fellow Department of Zoology University of

[R] Why does dredge() rank models differently for lmer() and MCMCglmm()?

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():

Re: [R] Why does dredge() rank models differently for lmer() and MCMCglmm()?

(slightly off topic) One might also add that different model fitting criteria might produce rankings that are quite different, but with model predictions that are very similar. This reflects the inconvenient reality that empirical models are merely data interpolators and not representations of

Re: [R] Why does dredge() rank models differently for lmer() and MCMCglmm()?

Corina itsme at CorinaLogan.com writes: Hello, I am running my full model (fm) through lmer() and MCMCglmm() using the default settings: model.lmer - lmer(fm) model.MCMCglmm - MCMCglmm(fm) [snip] However, when I run the models through dredge(): dredge(model.lmer)