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 |
| 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 |
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