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check_heterogeneity() 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(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.

Note

This function will be removed in a future update. Please use performance::check_heterogeneity_bias().

See also

For further details, see documentation for ?datawizard::demean.