StructuralEquationModels.jl: An Efficient and Extensible Framework for Structural Equation Modeling
Maximilian Ernst, Aaron Peiket
Structural Equation Models (SEMs) are a powerful statistical framework for disentangling complex relationships between multiple factors that affect empirical data. StructuralEquationModels.jl implements SEMs in Julia, offering greater efficiency and extensibility compared to implementations in other languages. Improved efficiency enables the application of SEM to large networks of variables (such as in genetics) and to fit many models in parallel (such as in neuroimaging). Improved extensibility permits adapting SEMs to specific use cases by modifying loss functions or integrating with various numerical optimization backends.