Package: irtsim
Title: Monte Carlo Simulation-Based Sample-Size Planning for Item
        Response Theory
Version: 0.1.1
Authors@R: 
    person("Stephen", "Ward", , "stephen_ward+irtsim@abhome.co", role = c("aut", "cre"))
Description: 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.
License: GPL (>= 3)
URL: https://github.com/sward1/irtsim
BugReports: https://github.com/sward1/irtsim/issues
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)
VignetteBuilder: R.rsp
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-04-22 13:35:50 UTC; stephenward
Author: Stephen Ward [aut, cre]
Maintainer: Stephen Ward <stephen_ward+irtsim@abhome.co>
Repository: CRAN
Date/Publication: 2026-04-23 19:50:11 UTC
Built: R 4.6.0; ; 2026-04-26 19:14:27 UTC; unix
