VarCorr.brmsfit {brms}  R Documentation 
This function calculates the estimated standard deviations,
correlations and covariances of the grouplevel terms
in a multilevel model of class brmsfit
.
For linear models, the residual standard deviations,
correlations and covariances are also returned.
## S3 method for class 'brmsfit' VarCorr( x, sigma = 1, summary = TRUE, robust = FALSE, probs = c(0.025, 0.975), ... )
x 
An object of class 
sigma 
Ignored (included for compatibility with

summary 
Should summary statistics be returned
instead of the raw values? Default is 
robust 
If 
probs 
The percentiles to be computed by the 
... 
Currently ignored. 
A list of lists (one per grouping factor), each with three elements: a matrix containing the standard deviations, an array containing the correlation matrix, and an array containing the covariance matrix with variances on the diagonal.
## Not run: fit < brm(count ~ zAge + zBase * Trt + (1+Trtvisit), data = epilepsy, family = gaussian(), chains = 2) VarCorr(fit) ## End(Not run)