The returned parameters are the transformed versions of the original parameters that correspond to the normal linear mixed model parameterization.
# S3 method for LmME
VarCorr(x, sigma = 1, as.lm = FALSE, ...)A list of vectors with variances and correlation matrices corresponding to the various grouping variables.
An LmME object.
Standard deviation of the error term in the LMM parameterization (should not be set manually, only for consistency with the generic method)
If TRUE, return the variances and correlations that correspond to
a normal linear mixed model (i.e. lmerMod).
Optional arguments (for consistency with generic)
The function only returns the correlation matrices that belong to actual random effects
(defined for groups in the data) and ignores the random effects parameters of the smooth
shift terms. To extract these, the user should use varcov with full = TRUE.
data("sleepstudy", package = "lme4")
fit <- LmME(Reaction ~ Days + (Days | Subject), data = sleepstudy)
VarCorr(fit) ## tranformation model parameterization
VarCorr(fit, as.lm = TRUE) ## LMM parameterization
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