simulate_eyeprocess_irt_binary: Simulate dichotomous IRT responses with optional local...

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

Simulate dichotomous IRT responses with optional local dependence and missingness

Description

Simulate dichotomous IRT responses with optional local dependence and missingness

Usage

simulate_eyeprocess_irt_binary(
  n_persons = 500L,
  items,
  theta = NULL,
  missing_rate = 0,
  testlet_sd = 0,
  seed = 1L,
  D = 1
)

Arguments

n_persons	Number of persons.
items	Item-parameter data frame or item collection.
theta	Latent-trait value or vector of latent-trait values.
missing_rate	Proportion of responses or observations set missing.
testlet_sd	Standard deviation of simulated testlet effects.
seed	Random-number seed for reproducible execution.
D	Logistic scaling constant.

Value

An object of class "eye_irt_simulation", stored as a named list, with components "responses", "probabilities", "theta", "items", "missing_rate", "testlet_sd", "seed". It contains dichotomous IRT responses with optional local dependence and missingness and associated metadata or diagnostics needed to interpret the result.

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