rePCA {lme4}R Documentation

PCA of random-effects covariance matrix

Description

PCA of random-effects variance-covariance estimates

Usage

rePCA(x)

Arguments

x

a merMod object

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).

Value

a prcomplist object

Author(s)

Douglas Bates

References

See Also

isSingular

Examples

  fm1 <- lmer(Reaction~Days+(Days|Subject), sleepstudy)
  rePCA(fm1)

[Package lme4 version 1.1-35.1 Index]