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I'm looking for way to obtain parameter estimates (such as *beta*, *SE* and
*t* scores) and *P* values of random factors after GLMM in R. My model
is:mod<-glmer(Boldness~Trial+(1|ID). The model with random effects is a
better model (lower loglikelihood, lower AIC and BIC) than the model
without random effects. Any help would be much appreciated. Thanks. Bharat

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