Relatively new Rstudio user, but passionate about learning R!
I'm just getting to the R4DS chapter on modelr and the concept of nested data, with a list column of individually fitted models. I'm wrapping my head around that concept/framework and had a couple questions I thought I'd throw out here:
- How are individually fitted models by nested group different than an lmer random effects model?
- Given those differences, what are the pros/cons of one versus the other?
Excited to learn more and progress in my stats and r skills and engage with this new community.
PS Wasn't sure how to start this topic/question, completely happy to have renamed/recategorized.