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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=irtpwr to link to this page.
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