Psychometric and process-data models

Prepare response matrices and fit optional IRT, explanatory, response-time, DIF, shared-process, and dynamic models.

Details

These functions operate on the canonical relational representation used by eyeprocess. Native fields and timestamps are retained whenever possible, and transformations should be recorded in the provenance table. Optional modelling engines are used only when their packages are installed.

Value

The returned value depends on the function. Import and transformation functions generally return an eye_dataset; audit and feature functions return data frames or enriched datasets; plotting functions return their plotted data invisibly; modelling functions return engine-specific or eyeprocess_model objects.

See also

new_eye_dataset(), read_eye_export(), validate_eye_dataset(), provenance_manifest()