[R-sig-ME] getVarCov for lmer()

[David Afshartous]

All,

I've fitted some models using lme() and now I want to check some things by
fitting them in lmer() (latest version loaded from CRAN).  Under the listed
methods for lmer() I don't seem to find functionality similar to that of
getVarCov() to obtain the variance-covariance matrix of the fitted model.
Does such functionality exist?


Thanks,
David

PS - running R v2.6.0.

PPS - if it must be computed manually, how does one access information
stored in slots (e.g., Z', the transpose of the model matrix for the random
effects)?