r compare two random effects how to compare two mixed effects models are multiple mixed effects modelling models acceptable which is a common way to compare the random effects of a model? when to compare two different mixed impact models which statement is not an example of a likelihood ratio test for a mixed effects model? why is it important to find the likelihood ratio in lmer? can u compare two model with similar probability ratio can random effects based on random effects be compared is it OK to compare two mixed effects models how to find out likelihood ratios in an experiment when to use likelihood ratio in model are random effects and r models allowed to be compared lmer compares multiple models how to compare two different mixed effects models lmer model example what makes a mixed effects model comparing to a fixed effect? when comparing the two models in r can they have a likelihood ratio test is it possible to compare different models? how to compare two mixed effects