NEWS
seminr 2.5.0 (2026-05-25)
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 (2026-02-18)
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 (2026-01-27)
- (See previous CRAN release notes)