Extract variance-covariance matrix
Extract the variance-covariance matrix from a fitted model, such as a mixed-effects model.
getVarCov(obj, ...) ## S3 method for class 'lme' getVarCov(obj, individuals, type = c("random.effects", "conditional", "marginal"), ...) ## S3 method for class 'gls' getVarCov(obj, individual = 1, ...)
obj |
A fitted model. Methods are available for models fit by
|
individuals |
For models fit by |
individual |
For models fit by |
type |
For models fit by |
... |
Optional arguments for some methods, as described above |
A variance-covariance matrix or a list of variance-covariance matrices.
Mary Lindstrom lindstro@biostat.wisc.edu
fm1 <- lme(distance ~ age, data = Orthodont, subset = Sex == "Female") getVarCov(fm1) getVarCov(fm1, individual = "F01", type = "marginal") getVarCov(fm1, type = "conditional") fm2 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary, correlation = corAR1(form = ~ 1 | Mare)) getVarCov(fm2)
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