I'm trying to learn a bit more about multilevel modeling so I'm going to start this thread here and post questions about the process as I know there are several regulars here who use multilevel models frequently. I know the nmle package exists but I'm mostly trying to figure out how lme4 works.
My goals are:
I'll also link to resources I find as well. Please critique thoughts, language I'm using inappropriately what ever.
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Resources
My goals are:
- Understand vocabulary associated with multilevel models
- Understand concepts including what models to test and select and why
- Understand how to input formulas in lme4 that correspond to different models
- Understand what the output is telling me
I'll also link to resources I find as well. Please critique thoughts, language I'm using inappropriately what ever.
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Resources
- Links on bottom of this page are helpful examples (titled Statistics Using R): http://spot.colorado.edu/~luch0518/papers.html
- Tutorial on lme4: http://www.bodo-winter.net/tutorial/bw_LME_tutorial.pdf
- Mixed effects in R: http://www.unt.edu/rss/class/Jon/Benchmarks/LinearMixedModels_JDS_Dec2010.pdf
- Intro to R Mixed Effects Models Slides: http://faculty.smu.edu/kyler/training/AERA_overheads.pdf