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seminr 2.5.0

Added

• Prediction for all interaction methods: predict() and predict_pls() now support product_indicator and orthogonal interaction models, in addition to two_stage. Previously, only two_stage interactions could generate out-of-sample predictions; the other methods threw an error. All three methods now fully support single predictions (predict()), k-fold cross-validation, and LOOCV via predict_pls().
• Quadratic term prediction: quadratic_term() models (using any interaction method) can now generate predictions.
• Parallel k-fold cross-validation: predict_pls() now supports parallel execution for k-fold CV when cores is specified (e.g., predict_pls(model, noFolds = 50, cores = 4)). Previously, parallelization was only available for LOOCV.
• Interaction method detection: New internal detect_interaction_method() function provides clean dispatch based on interaction class attributes.
• Custom confidence levels in plots: plot() accepts a user-specified confidence level for bootstrapped models, allowing displays at any alpha (e.g., 90%, 99%) instead of the fixed 95% default (#407).
• Public accessor API for constructs and measurement-model elements: A set of helper functions is now exported and documented for use by downstream packages and user scripts. Container-first argument order (model or measurement-model first): construct_items(x, construct_name) (S3 generic), construct_names(x) (S3 generic), construct_name(construct), construct_mode(mmMatrix, construct), construct_type(model, construct), all_factors(model), all_composites(model), all_non_interactions(measurement_model). These replace and consolidate a set of non-exported internal helpers; downstream code should migrate off seminr::: triple-colon access and use these exported functions instead.

Changed

• predict.seminr_model() dispatch refactored: uses switch() on detected interaction method instead of pattern-matching on measurement model names.
• Interaction estimation now stores prediction-relevant parameters on the model object (model$interaction_params), including orthogonalization regression coefficients needed for out-of-sample prediction of orthogonal models.
• Mixed interaction methods (e.g., one two_stage and one product_indicator in the same model) produce an informative error at prediction time.

Fixed

• Plot significance stars now use bootstrap p-values for consistency with reported significance (#412).
• construct_items() and all_LOC_items() return a character vector instead of a single-column matrix, restoring expected downstream behavior (#364).
• Construct/item name collision check now correctly detects name conflicts that were previously missed (#402).
• CBSEM summary path significance now displays in the conventional IV → DV direction (#404).
• Quadratic interaction terms with a single indicator no longer fail due to matrix-to-vector coercion (#327).

seminr 2.4.2

Fixed

• PLSpredict now works correctly with non-standard (character) rownames (#390)
• Plot symbols use BMP-compatible Greek letters for cross-platform rendering (#226)
• Plot displays capital R² for coefficient of determination (#389)
• Summary reports now work correctly for PLS-SEM models with higher-order constructs (#369)
• vif_items() always returns a named list structure (#377)

Changed

• Modernized GitHub Actions CI workflow for Ubuntu 24.04

seminr 2.4.0

• (See previous CRAN release notes)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.