Skip to contents

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

Usage

report_random(x, ...)

Arguments

x

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

...

Arguments passed to or from other methods.

Value

An object of class report_random().

Examples

library(report)

# Mixed models
if (require("lme4")) {
  model <- lme4::lmer(Sepal.Length ~ Petal.Length + (1 | Species), data = iris)
  r <- report_random(model)
  r
  summary(r)
}
#> [1] "The model included Species as random effect"
# \donttest{
# Bayesian models
if (require("rstanarm")) {
  model <- stan_lmer(mpg ~ disp + (1 | cyl), data = mtcars, refresh = 0, iter = 1000)
  r <- report_random(model)
  r
  summary(r)
}
#> Warning: There were 2 divergent transitions after warmup. See
#> https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup
#> to find out why this is a problem and how to eliminate them.
#> Warning: Examine the pairs() plot to diagnose sampling problems
#> [1] "The model included cyl as random effect"
# }
if (FALSE) {
if (require("brms")) {
  model <- brm(mpg ~ disp + (1 | cyl), data = mtcars, refresh = 0, iter = 1000)
  r <- report_random(model)
  r
  summary(r)
}
}