The goal of gardenr is to provide tools for general linear mixed effects model regression (GLMM) trees as implemented in the
The purpose of the gardenr package is to improve workflows with model-based recursive partitioning. This includes GLM trees, GLMM trees, and will soon incorporate other variants. At present, this is mostly for cross-validation improvements to tune hyperparameters, but this will extend into novel pruning mechanisms.
Please see the vignette for examples.