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irtpwr: Power Analysis for IRT Models Using the Wald, LR, Score, and Gradient Statistics (original) (raw)

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 ORCID iD [aut, cre], Rudolf Debelak ORCID iD [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

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