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

Provides a pipeline application programming interface (API) for Monte Carlo simulation-based sample-size planning in item response theory (IRT). Implements the 10-decision framework from Schroeders and Gnambs (2025) <doi:10.1177/25152459251314798> as a three-step workflow: specify the data-generating model with irt_design(), add study conditions with irt_study(), and run simulations with irt_simulate(). Supports one-parameter logistic (1PL), two-parameter logistic (2PL), and graded response models with missing-completely-at-random (MCAR), missing-at-random (MAR), booklet, and linking missingness mechanisms. Results include mean squared error (MSE), bias, root mean squared error (RMSE), standard error (SE), and coverage criteria with summary and plot methods.

Version: 0.1.1
Depends: R (≥ 4.1.0)
Imports: cli, future.apply, ggplot2, mirt, rlang
Suggests: future, knitr, R.rsp (≥ 0.46.0), rmarkdown, scales, testthat (≥ 3.0.0)
Published: 2026-04-23
DOI: 10.32614/CRAN.package.irtsim (may not be active yet)
Author: Stephen Ward [aut, cre]
Maintainer: Stephen Ward <stephen_ward+irtsim at abhome.co>
BugReports: https://github.com/sward1/irtsim/issues
License: GPL (≥ 3)
URL: https://github.com/sward1/irtsim
NeedsCompilation: no
Language: en-US
Citation: irtsim citation info
Materials: NEWS
CRAN checks: irtsim results

Documentation:

Reference manual: irtsim.html , irtsim.pdf
Vignettes: Paper Example 1: Linked-Test Design with 1PL Estimation (source)
Paper Example 1b: Model misspecification (generate 2PL, fit 1PL) (source)
Paper Example 2: MCAR missingness and custom criterion callbacks (source)
Paper Example 3: GRM parameter recovery for a clinical scale (source)
Paper reproduction status: what irtsim can and cannot reproduce (source)

Downloads:

Package source: irtsim_0.1.1.tar.gz
Windows binaries: r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): irtsim_0.1.1.tgz, r-oldrel (x86_64): irtsim_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=irtsim to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.