check_heterogeneity()
checks if model predictors or variables may
cause a heterogeneity bias, i.e. if variables have a within- and/or
between-effect.
check_heterogeneity(x, select = NULL, group = NULL)
A data frame or a mixed model object.
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.
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, see documentation for ?datawizard::demean
.