seminrExtras 1.0.1

Fixed

• Tests in test-cipma-comprehensive.R and test-fimix.R no longer reach into seminr’s non-exported internals via seminr:::items_of_construct() and seminr:::all_endogenous(). They now use seminrExtras’s own local helpers of the same name. This avoids breakage against forthcoming seminr 2.5.0, which refactors (and renames) those internal helpers.

seminrExtras 1.0.0

Major new features

• Composite Overfit Analysis (COA): assess_coa(), predictive_deviance(), deviance_tree(), unstable_params(), group_rules(), competes() for diagnosing why and for whom PLS models fail to generalise out-of-sample.

• Necessary Condition Analysis (NCA): assess_nca() with fully internal CE-FDH and CR-FDH algorithms (no external NCA package dependency).

• NCA-ESSE: assess_nca_esse() implements the effect size sensitivity extension (Becker et al., 2026).

• Combined Importance-Performance Map Analysis (cIPMA): assess_cipma() integrates IPMA with NCA to classify constructs into actionable priority quadrants. assess_ipma() provides an IPMA-only convenience wrapper. Supports HOC, mediation, and moderation models.

• FIMIX-PLS: assess_fimix() and assess_fimix_compare() for EM-based latent class segmentation with multi-start initialisation and information criteria comparison.

• PLS-POS: assess_pos(), assess_pos_compare(), and pos_segments() for prediction-oriented segmentation that maximises the sum of R-squared across segments (Becker et al., 2013).

• CTA-PLS: assess_cta() for confirmatory tetrad analysis with automatic indicator borrowing for constructs with fewer than 4 indicators (Gudergan et al., 2008).

• Predictive Contribution of the Mediator (PCM): assess_pcm() evaluates whether a mediating construct improves out-of-sample prediction by comparing DA and EA approaches on isolated sub-models (Danks, 2021).

Improvements

• assess_cvpat() and assess_cvpat_compare(): fixed bootstrap test branches, loss function return types, and reference metadata.

• congruence_test(): fixed division guard, upper-triangular masking, and bootstrap robustness for nboot = 0.

• All features include print(), summary(), and plot() S3 methods.

• Comprehensive test suite (740+ tests).

• Demo files for all features: demo("seminr-pls-<feature>").

• Updated vignette with examples for all features.

Dependencies

• Requires seminr >= 2.4.0.
• rpart added to Imports (for COA deviance trees).
• MASS, paran, psych, learnr added to Suggests.

seminrExtras 0.9.0

• Initial CRAN release with CVPAT and congruence testing.