View source: R/brmsfit-methods.R
VarCorr.brmsfit | R Documentation |
This function calculates the estimated standard deviations,
correlations and covariances of the group-level 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+Trt|visit),
data = epilepsy, family = gaussian(), chains = 2)
VarCorr(fit)
## End(Not run)
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