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Results tagged with glmm
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user 43014
Generalized Linear Mixed (effects) Models are typically used for modeling non-independent non-normal data (eg, longitudinal binary data).
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Measuring goodness of fit for mixed logistic regression model - inconsistent results from R ...
However, I then tested them again using Nakagawa and Schielzeth's (2012) method for obtaining R^2 from GLMM, and Nagelkerke's modified R^2 based on likelihood ratio (both in R's MuMIn package). …
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Should I use a beta-binomial or binomial glmm?
Therefore I after having already performed model selection on a binomial glmm (in R, lme4 package), I decided that perhaps beta-binomial model would be preferable. … The results of this model selection process are quite different to those from the binomial glmm, as one would expect, however I'm inclined to be a bit suspicious of the results from the beta-bin model, …
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