Reference

All functions

alpha_par()

make parameter for tuning level of significance in instability tests

cross_validate_it()

fit glmertree() to a cross-validated data set

mae()

mean absolute error

maxdepth_par()

make parameter for tuning maximum depth of tree

rmse()

root mean square error of approximation

sim_multilevel()

simulate tibble of two-level data with outcome, id_vector, and categorical/continuous covariates with varied magnitudes of effect. Nuisance predictors (orthogonal to outcome) also included.

trim_par()

make parameter for tuning level of amount of outlier trimmed in instability tests