(This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers)
I recently analyzed some data trying to find a model that would explain body fat distribution as predicted by several blood biomarkers. I had more predictors than samples (p>n), and I didn't have a clue which variables, interactions, or quadratic terms made biological sense to put into a model.
I then turned to a few data mining procedures that I learned about during grad school but never really
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).