Process-decision proxies and research-frontier gates

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Pre-action and gaze-evidence representations

pre <- preaction_process_features(samples)
proxy <- addm_glam_proxy_features(
  samples,
  target_aoi = "target",
  distractor_aoi = "distractor",
  action_aoi = "button"
)
plot(pre)
plot(proxy)

These are aDDM/GLAM-inspired feature summaries. They are not fitted drift rate, gaze-discount, or decision-threshold parameters.

process_feature_family_registry()
assign_process_feature_family(c("pupil_peak", "aoi_entropy", "valid_gaze_prop"))
process_feature_stability(repeated_importance_table)

Frontier estimators remain gated

fit_kde_latent_distribution_irt(response_matrix)
fit_persistence_gaze_diffusion_irt(process_data)
fit_nonignorable_missing_irt(missingness_data)
fit_crossclassified_process_irt_mhrm(crossclassified_data)

Without an explicit validated external engine these functions return a gated model contract rather than silently substituting a simpler model.

repr <- prepare_structured_unstructured_process_features(
  structured_features,
  unstructured = sequence_data,
  fold = "fold_id"
)

The representation contract states that learned scaling, vocabulary, embedding, feature selection, and similar operations must be fitted inside training folds only.

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.