apply_missing: Apply Missing Data Mechanism (Internal)

In irtsim: Monte Carlo Simulation-Based Sample-Size Planning for Item Response Theory

Apply Missing Data Mechanism (Internal)

Description

Takes a complete response matrix and introduces missingness according to the study specification.

Usage

apply_missing(data, study, seed = NULL, theta = NULL)

Arguments

data	Numeric matrix (N x n_items). Complete response data.
study	An irt_study object specifying the missing data mechanism.
seed	Integer. Random seed for reproducibility.
theta	Optional numeric vector of length nrow(data). Required when study$missing == "mar".

Value

Numeric matrix of same dimensions as data, with NA values introduced according to the missingness mechanism.

irtsim documentation built on April 24, 2026, 1:07 a.m.