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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).
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.
seminr >= 2.4.0.rpart added to Imports (for COA deviance trees).MASS, paran, psych,
learnr added to Suggests.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.
Health stats visible at Monitor.