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StructuralEquationModels
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StructuralEquationModels.jl
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Multiple refactorings reformatted
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Multiple refactorings reformatted
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Commits on May 12, 2026
WIP SemImpliedState
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declare cov matrices symmetric
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RAM: reuse sigma array
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RAM: optional sparse Sigma matrix
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ML: refactor to minimize allocs
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add PackageExtensionCompat
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variance_params(SEMSpec)
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fixup docstring
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lavaan_model()
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test_grad/hess(): check that alt calls give same results
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start_simple(): code cleanup
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start_simple(): start vals for lat and obs means
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observed_vars(RAMMatrices; order): rows/cols order
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observed_var_indices(::RAMMatrices; order=:columns)
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move sparse mtx utils to new file
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reorder_observed_vars!(spec) method
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Commits on Jun 13, 2026
vech() and vechinds() functions
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RAMMatrices(): ctor to replace params
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use `@printf` to limit signif digits printed
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ML/FIML: workaround generic_matmul issue
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BlackBoxOptim.jl backend support
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non_posdef_return(v) -> non_posdef_objective(v)
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MeanStruct(ram)
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SemObserved: fix mean_and_cov() call
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filter_used_params()
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param_indices(spec) method
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quad.jl: optimized methods for X*A*X', X*X' etc
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trunc_eigvals(): use X_A_Xt()
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predict_latent_scores()
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predict: add alpha regularization
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predict(model, scores)
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check_var_indices()
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latent_scores(): allow specifying latent vars subset
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predict: add scoring methods docstrings
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predict: refactor calculation
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predict: add unit tests
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predict(): add prior_cov_alpha kwarg
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SemVariablesTransform
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score_basis_transform()
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SemParamsPenalty: refactor regularization
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