Package index • IRTsimrel

Package Overview

IRTsimrel-package IRTsimrel: IRTsimrel: Reliability-Targeted Simulation for Item Response Data

Calibration Algorithms

Core functions for reliability-targeted calibration

eqc_calibrate(): Empirical Quadrature Calibration (Algorithm 1: EQC/SQC)
spc_calibrate() sac_calibrate(): Stochastic Approximation Calibration (Algorithm 2: SPC/SAC)

Simulation Functions

Generate latent abilities and item parameters

sim_latentG(): Simulate Latent Ability Distribution for IRT Studies (G-family)
sim_item_params(): Simulate Item Parameters for IRT Studies
simulate_response_data(): Simulate Item Response Data from EQC Results

Reliability Utilities

Compute reliability metrics

compute_rho_bar() compute_rho_tilde(): Compute Marginal Reliability from Simulated Test Information
compute_apc_init(): Analytic Pre-Calibration (APC) Initialization
compute_reliability_tam(): Compute WLE and EAP Reliability Using TAM

Comparison & Visualization

Compare distributions and calibration results

compare_shapes(): Compare Multiple Distribution Shapes
compare_eqc_spc(): Compare EQC and SPC Calibration Results

S3 Methods

Print, plot, and summary methods

print(<latent_G>): Print Method for latent_G Objects
plot(<item_params>): Plot method for item_params objects
plot(<latent_G>): Plot Method for latent_G Objects
plot(<spc_result>): Plot SPC Convergence Trajectory
summary(<latent_G>): Summary Method for latent_G Objects
as.data.frame(<item_params>): Extract item parameters as data frame
as.numeric(<latent_G>): Extract theta values from latent_G object