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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 |
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 |
Reference manual: | irtpwr.pdf |
Vignettes: |
Adding Hypotheses Demo Hypothesis Templates Power Analysis for the Wald, LR, Score, and Gradient Tests using irtpwr |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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