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).
References
Douglas Bates, Reinhold Kliegl, Shravan Vasishth, and Harald Baayen.
Parsimonious Mixed Models. arXiv:1506.04967 [stat], June 2015. arXiv:
1506.04967.