report_random: Report random effects and factors

In neuropsychology/report: Automated Reporting of Results and Statistical Models

Report random effects and factors

Description

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

# Mixed models
library(lme4)
model <- lme4::lmer(Sepal.Length ~ Petal.Length + (1 | Species), data = iris)
r <- report_random(model)
r
summary(r)




# Bayesian models
library(rstanarm)
model <- suppressWarnings(stan_lmer(
  mpg ~ disp + (1 | cyl),
  data = mtcars, refresh = 0, iter = 1000
))
r <- report_random(model)
r
summary(r)




library(brms)
model <- suppressWarnings(brm(mpg ~ disp + (1 | cyl), data = mtcars, refresh = 0, iter = 1000))
r <- report_random(model)
r
summary(r)

neuropsychology/report documentation built on April 3, 2024, 4:08 p.m.