fit_cognitive_diagnosis_process: Cognitive-diagnosis model with process indicators

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

Cognitive-diagnosis model with process indicators

Description

Uses GDINA for the response layer when available and retains process features as a parallel diagnostic channel. Process/mastery associations are reported descriptively and do not redefine the Q-matrix or skill labels.

Usage

fit_cognitive_diagnosis_process(
  response_matrix,
  q_matrix,
  process_data = NULL,
  process_features = NULL,
  person_id = NULL,
  engine = c("GDINA", "external"),
  external_engine = NULL,
  ...
)

Arguments

response_matrix	Person-by-item response matrix.
q_matrix	Q-matrix for cognitive-diagnosis modeling.
process_data	Process-data input used by the model.
process_features	Names of process-derived features.
person_id	Person or participant identifier.
engine	Estimation engine.
external_engine	Validated external fitting function.
...	Additional arguments passed to the selected model, engine, or method.

Value

An object of class "eye_cognitive_diagnosis_process", stored as a named list, with components "response_model", "process_summary", "process_mastery_correlation", "q_matrix", "status". It contains cognitive-diagnosis model with process indicators and associated metadata or diagnostics needed to interpret the result.

eyeprocess documentation built on Sept. 28, 2026, 5:08 p.m.