check_heterogeneity_bias {performance} | R Documentation |
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.
check_heterogeneity_bias(x, select = NULL, group = NULL)
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 |
group |
Character vector (or formula) with the name of the variable that
indicates the group- or cluster-ID. If |
For further details, read the vignette
https://easystats.github.io/parameters/articles/demean.html and also
see documentation for ?datawizard::demean
.
data(iris) iris$ID <- sample(1:4, nrow(iris), replace = TRUE) # fake-ID check_heterogeneity_bias(iris, select = c("Sepal.Length", "Petal.Length"), group = "ID")