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I have a simple question, understanding the basic usage of the
lme4 package. I am following the tutorial by Bodo Winter (http://www.bodowinter.com/tutorial/bw_LME_tutorial.pdf).
In this tutorial, Bodo calculates a random effects model using the two commands:
library(lme4) politeness=read.csv("http://www.bodowinter.com/tutorial/politeness_data.csv") politeness.model = lmer(frequency ~ attitude + (1|subject) + (1|scenario), data=politeness) summary(politeness.model)
However, his printout of the output includes the AIC and BIC values (page 8), which are not included in the current version of lme4 (1.1.7). Do you have any idea why this is the case? Although, one can compute the two values using the maximum likelyhood algorithm (by using the REML=False option), I am confused why they are no longer included in the default output.
Thanks in advance