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...2 vs 3 4.269119 0.1183 Thanks Dave Hi R user, I am using the gamm() function of the mgcv-package. Now I would like to decide on the random effects to include in the model. Within a GAMM framework, is it allowed to compare the following two models inv_1<-gamm(y~te(sat,inv),data=daten_final, random=list(proband=~1)) inv_2<-gamm(y~te(sat,inv),data=daten_final, random=list(proband=~sat)) with a likelihood ratio test for a traditional GLMM, like this: anova(inv_1$lme, inv_2$lme) The output is as follows: Model df AIC BIC logLik Test L.Ratio p-v...