irtsim
0.2.0Monte Carlo Simulation-Based Sample-Size Planning for Item Response Theory
Overview
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), three-parameter logistic (3PL), graded response (GRM), partial credit (PCM), and generalized partial credit (GPCM) 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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-244 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 61%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 7%
Downloads
Repository
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Checks run against github.com/sward1/irtsim on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.2.0Latest
- 0.1.22026-05-05 · diff ↗
- 0.1.12026-04-24
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-24
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 639 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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