fit_multiple_response_process_irt: Fit a multiple-response process-IRT reference model

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

Fit a multiple-response process-IRT reference model

Description

The bundled reference treats option selections as repeated binary outcomes with option-specific random difficulty/discrimination and optional gaze. This preserves option-level observations but does **not** reproduce the 2026 MRM/MRM-LD likelihood. Use 'engine = "external"' for a validated exact implementation of a multiple-response model with inter-option dependence.

Usage

fit_multiple_response_process_irt(
  data,
  selected = "selected",
  theta = "theta",
  person = "participant_id",
  item = "item_id",
  option = "option_id",
  gaze = NULL,
  engine = c("reference", "external"),
  external_engine = NULL,
  ...
)

Arguments

data	Long person-item-option table.
selected	Binary option-selection indicator.
theta	Supplied latent-trait estimate/score.
person, item, option	Identifiers.
gaze	Optional option-level process measure.
engine	'reference' or 'external'.
external_engine	Validated external fitter.
...	Arguments passed to the external engine.

Value

An object of class "eye_multiple_response_process_irt", stored as a named list, with components "model", "data", "gaze", "engine", "exact_multiple_response", "status", "note". It contains a multiple-response process-IRT reference model and associated metadata or diagnostics needed to interpret the result.

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