PCA of random-effects variance-covariance estimates
Usage
rePCA(x)
Value
a prcomplist object
Arguments
x
a merMod object
Author
Douglas Bates
Details
Perform a Principal Components Analysis (PCA) of the random-effects
variance-covariance estimates from a fitted mixed-effects model.
This allows the user to detect and diagnose overfitting problems
in the random effects model (see Bates et al. 2015 for details).