check_heterogeneity_bias: Check model predictor for heterogeneity bias
Description
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 (Bell and Jones, 2015).
Usage
check_heterogeneity_bias(x, select = NULL, by = 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.
by
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.
group
Deprecated. Use by instead.
References
Bell A, Jones K. 2015. Explaining Fixed Effects: Random Effects
Modeling of Time-Series Cross-Sectional and Panel Data. Political Science
Research and Methods, 3(1), 133–153.