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Brandmaier ", "Description": "SEM Trees and SEM Forests -- an extension of model-based\ndecision trees and forests to Structural Equation Models (SEM).\nSEM trees hierarchically split empirical data into homogeneous\ngroups each sharing similar data patterns with respect to a SEM\nby recursively selecting optimal predictors of these\ndifferences. SEM forests are an extension of SEM trees. They\nare ensembles of SEM trees each built on a random sample of the\noriginal data. By aggregating over a forest, we obtain measures\nof variable importance that are more robust than measures from\nsingle trees. 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