irtpwr: Power Analysis for IRT Models Using the Wald, LR, Score, and Gradient Statistics
Implementation of analytical and sampling-based power analyses for the Wald, likelihood ratio (LR), score, and gradient tests. Can be applied to item response theory (IRT) models that are fitted using marginal maximum likelihood estimation. The methods are described in our paper (Zimmer et al. (2022) <doi:10.1007/s11336-022-09883-5>).
| Version: | 1.0.3 |
| Imports: | mirt, Deriv, digest, spatstat.random, ggplot2, methods |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2023-11-20 |
| DOI: | 10.32614/CRAN.package.irtpwr |
| Author: | Felix Zimmer 
[aut, cre],
Rudolf Debelak
[aut],
Jan Radek [ctb] |
| Maintainer: | Felix Zimmer <felix.zimmer at mail.de> |
| BugReports: | https://github.com/flxzimmer/irtpwr/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/flxzimmer/irtpwr |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | irtpwr results |
Documentation:
| Reference manual: | irtpwr.pdf |
| Vignettes: |
Adding Hypotheses Demo Hypothesis Templates Power Analysis for the Wald, LR, Score, and Gradient Tests using irtpwr |
Downloads:
| Package source: | irtpwr_1.0.3.tar.gz |
| Windows binaries: | r-devel: irtpwr_1.0.3.zip, r-release: irtpwr_1.0.3.zip, r-oldrel: irtpwr_1.0.3.zip |
| macOS binaries: | r-release (arm64): irtpwr_1.0.3.tgz, r-oldrel (arm64): irtpwr_1.0.3.tgz, r-release (x86_64): irtpwr_1.0.3.tgz, r-oldrel (x86_64): irtpwr_1.0.3.tgz |
| Old sources: | irtpwr archive |
Linking:
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