Limitations and issues
-interpretation for split plot
-difficulty of convergence, diagnosis
-data dredging you random effects
-hypothesis testing
-going bayes (not actually a problem)
-data intensive
-power analysis harder
-AIC trickier
-random slopes models are really data intensive
-for variance partitioning you need ...?
-for estimating sigma to have more data (>5, 8, 20?)