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Machine-Learning Approaches to Structural Equation Modeling
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Description: This project contains the R codes that we used for the analysis of individual differences in episodic memory in the HRS data using regularized SEM, SEM trees, and SEM forests as described in the book chapter: Brandmaier, A.M. & Jacobucci, R.C. (forthcoming) Machine-Learning Approaches to Structural Equation Modeling. In: Rick H. Hoyle (Ed.) Handbook of Structural Equation Modeling. Guilford Press.
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