varcov<-.tramME {tramME} | R Documentation |
Sets the list containing the covariance matrices of a tramME model. The matrices have
to be positive definite. Just as in "coef<-"
, when the function is called
on a fitted object, it will be set to unfitted.
## S3 replacement method for class 'tramME' varcov(object) <- value
object |
A tramME object (fitted or unfitted). |
value |
A list of positive definite covariance matrices. |
The supplied list does not have to be named, and the names will be ignored.
When multiple grouping factors are present, the function assumes the same order as in the
object to be modified. Hence, it might be a good idea to call varcov
first, and
modify this list to make sure that the input has the right structure.
An unfitted tramME object with the new coefficient values.
data("sleepstudy", package = "lme4") mod <- LmME(Reaction ~ Days + (Days | Subject), data = sleepstudy, nofit = TRUE) vc <- varcov(mod) vc[[1]] <- matrix(c(1, 0, 0, 2), ncol = 2) varcov(mod) <- vc