simulate_advanced_process_data: Simulate advanced response-process data

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

Simulate advanced response-process data

Description

Generates accuracy, response time, process features, theory-defined strategy, dynamic AOI states, pupil trajectories, measurement error, missing process data, DIF, and local dependence for validation studies.

Usage

simulate_advanced_process_data(
  n_person = 100L,
  n_item = 20L,
  n_time = 30L,
  n_states = 3L,
  ability_speed_correlation = -0.3,
  gaze_effect = 0.35,
  feature_reliability = 0.7,
  missing_process = 0,
  state_misclassification = 0,
  pupil_ar1 = 0.6,
  luminance_effect = 0,
  dif_effect = 0,
  local_dependence = 0,
  seed = 1L
)

Arguments

n_person	Number of persons.
n_item	Number of items.
n_time	Pupil time bins.
n_states	Number of AOI states.
ability_speed_correlation	Correlation between ability and speed.
gaze_effect	Process-feature coefficient in the response model.
feature_reliability	Reliability of observed gaze features.
missing_process	Fraction of process observations set missing.
state_misclassification	Probability of AOI-state misclassification.
pupil_ar1	AR(1) coefficient for pupil noise.
luminance_effect	Effect of simulated luminance on pupil size.
dif_effect	Logit-scale DIF effect for the focal group on flagged items.
local_dependence	Shared testlet-effect standard deviation.
seed	Random seed.

Value

A list with trial data, state data, pupil data, and truth.

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