Covariance parameter estimates table in R -


i have created random intercept , slope model (lmer) , need inspect covariances of random effects see significant.

i've seen sas outputs provide 'covariance parameter estimates' table part of model summary - see section 'output 56.2.6 repeated measures analysis' of proc mixed

is there way of doing (and obtaining p values each covariance) in r?

yes, can find in output of summary of model:

x <- lm(formula) y <- summary(x) print(y$cov.unscaled)

from documentation of ?summary:

cov.unscaled p x p matrix of (unscaled) covariances of coef[j], j=1, …, p.


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