Recursive Partitioning with Structural Equation Model Trees
Structural Equation Model Trees (SEM Trees) combine the strengths of Structural Equation Models and decision trees by building tree structures that separate a dataset recursively
into subsets with significantly different parameter estimates in a
SEM. This approach provides a data-driven but theory-constrained search in model space.