Reports random effects of mixed models (see list of supported objects in
`report()`

).

## Arguments

- x
The R object that you want to report (see list of of supported objects above).

- ...
Arguments passed to or from other methods.

## Examples

```
# \donttest{
# Mixed models
library(lme4)
model <- lme4::lmer(Sepal.Length ~ Petal.Length + (1 | Species), data = iris)
r <- report_random(model)
r
#> The model included Species as random effect (formula: ~1 | Species)
summary(r)
#> [1] "The model included Species as random effect"
# }
# \donttest{
# Bayesian models
library(rstanarm)
model <- suppressWarnings(stan_lmer(
mpg ~ disp + (1 | cyl),
data = mtcars, refresh = 0, iter = 1000
))
r <- report_random(model)
r
#> The model included cyl as random effect (formula: ~1 | cyl)
summary(r)
#> [1] "The model included cyl as random effect"
# }
if (FALSE) { # requireNamespace("brms", quietly = TRUE) && packageVersion("rstan") >= "2.26.0"
# \donttest{
library(brms)
model <- suppressWarnings(brm(mpg ~ disp + (1 | cyl), data = mtcars, refresh = 0, iter = 1000))
r <- report_random(model)
r
summary(r)
# }
}
```