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: 1.0.0
Imports: mirt, Deriv, digest, spatstat.random, ggplot2, methods
Suggests: testthat, knitr, rmarkdown
Published: 2022-11-16
Author: Felix Zimmer ORCID iD [aut, cre], Rudolf Debelak ORCID iD [aut]
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

Downloads:

Package source: irtpwr_1.0.0.tar.gz
Windows binaries: r-devel: irtpwr_1.0.0.zip, r-release: irtpwr_1.0.0.zip, r-oldrel: irtpwr_1.0.0.zip
macOS binaries: r-release (arm64): irtpwr_1.0.0.tgz, r-oldrel (arm64): irtpwr_1.0.0.tgz, r-release (x86_64): irtpwr_1.0.0.tgz, r-oldrel (x86_64): irtpwr_1.0.0.tgz

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