check_heterogeneity_bias() checks if model predictors or variables may cause a heterogeneity bias, i.e. if variables have a within- and/or between-effect.

## Usage

check_heterogeneity_bias(x, select = NULL, group = NULL)

## Arguments

x

A data frame or a mixed model object.

select

Character vector (or formula) with names of variables to select that should be checked. If x is a mixed model object, this argument will be ignored.

group

Character vector (or formula) with the name of the variable that indicates the group- or cluster-ID. If x is a model object, this argument will be ignored.

For further details, read the vignette https://easystats.github.io/parameters/articles/demean.html and also see documentation for ?datawizard::demean.
data(iris)