# VarCorr

##### Extract variance and correlation parameters

The VarCorr function extracts the variance and (if present)
correlation parameters for random effect terms in a
cumulative link mixed model (CLMM) fitted with `clmm`

.

- Keywords
- models

##### Usage

`VarCorr(x, ...)`# S3 method for clmm
VarCorr(x, ...)

##### Arguments

- x
a

`clmm`

object.- …
currently not used by the

`clmm`

method.

##### Details

The `VarCorr`

method returns a list of `data.frame`

s; one for
each distinct grouping factor. Each `data.frame`

has as many rows
as there are levels for that grouping factor and as many columns as
there are random effects for each level. For example a model can
contain a random intercept (one column) or a random
intercept and a random slope (two columns) for the same grouping
factor.

If conditional variances are requested, they are returned in the same structure as the conditional modes (random effect estimates/predictions).

##### Value

A list of matrices with variances in the diagonal and correlation parameters in the off-diagonal --- one matrix for each random effects term in the model. Standard deviations are provided as attributes to the matrices.

##### Examples

```
# NOT RUN {
fm1 <- clmm(rating ~ contact + temp + (1|judge), data=wine)
VarCorr(fm1)
# }
```

*Documentation reproduced from package ordinal, version 2019.12-10, License: GPL (>= 2)*