Extract the conditional modes and conditional variances of random effects
# S3 method for tramME
ranef(object, condVar = FALSE, raw = FALSE, ...)
A fitted tramME object.
If TRUE, include the conditional variances as attributes.
Return the unformatted RE estimates as fitted by the model.
Optional arguments (for consistency with generic)
Depending on the value of raw, either a numeric vector or a
ranef.tramME
object which contains the conditional mode and variance
estimates by grouping factors.
# NOT RUN {
data("sleepstudy", package = "lme4")
fit <- BoxCoxME(Reaction ~ Days + (Days | Subject), data = sleepstudy, order = 5)
ranef(fit, raw = TRUE)
ranef(fit)
# }
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