fit_gaze_informed_missingness_irt: Fit a gaze-informed missingness IRT diagnostic

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

Fit a gaze-informed missingness IRT diagnostic

Description

Fits a transparent two-part reference model: (1) whether an item response is missing and (2) the observed response, both conditional on a supplied latent trait (or a clearly labelled person-score proxy), item, and visual exposure. This is a diagnostic bridge to joint MNAR/process IRT, not a substitute for a fully joint latent missingness model.

Usage

fit_gaze_informed_missingness_irt(
  data,
  response = "response",
  person = "participant_id",
  item = "item_id",
  gaze_exposure = "gaze_exposure",
  theta = NULL,
  reached = NULL
)

Arguments

data	Long person-item data.
response	Response column; missing values identify omissions.
person, item	Person and item identifiers.
gaze_exposure	Non-negative visual-exposure measure.
theta	Optional latent-trait column. If 'NULL', a smoothed person proportion-correct logit is used as an explicit proxy.
reached	Optional reached/not-reached indicator.

Value

An 'eye_gaze_informed_missingness_irt' object.

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