confused by random effects structures in mixed models?

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This video overviews the paper, "Balancing Type I error and power in linear mixed effects models" by Matuschek et al (2017). I recently came across a mixed model where the covariance between a random slope and intercept was 1 and wondered why. This paper covered that, but mostly focuses on whether or not simplified random effects structures are okay. Another school of thought is to max it out. Guess what? It can be okay!

All is set up in terms of lmer in R, if that's helpful.
  1. mumfordbrainstats
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Комментарии
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Would you consider doing a video on repeated measures lme with heterogeneous time between time points by individuals

Ryandh
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I noticed that these examples and one early in your mixed models series set REML to false. Will you be covering this in the mixed model series? I found differences in convergence as a function of whether or not I set REML to false and am curious how this is affecting the model.

laurenatlas
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Can you please do a video on cost functions?

shahmeerhashmat