Package: irtpwr 1.0.3.9000

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>).

Authors:Felix Zimmer [aut, cre], Rudolf Debelak [aut], Jan Radek [ctb]

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Bug tracker:https://github.com/flxzimmer/irtpwr/issues

On CRAN:

5 exports 1 stars 1.26 score 84 dependencies 9 scripts 281 downloads

Last updated 6 months agofrom:faa97fd860. Checks:OK: 7. Indexed: yes.

Exports:calc.timeirtpwrload.functionspars.longsetup.hypothesis

Dependencies:audiobeeprbriocallrcliclustercodetoolscolorspacecrayoncurldcurverdeldirDerivdescdiffobjdigestdplyrevaluatefansifarverfsfuturefuture.applygenericsggplot2globalsglueGPArotationgridExtragtableisobandjsonlitelabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmirtmunsellnlmeparallellypbapplypermutepillarpkgbuildpkgconfigpkgloadpolyclippraiseprocessxprogressrpsR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadillorematch2rlangrprojrootRPushbulletscalessessioninfoSimDesignsnowspatstat.dataspatstat.geomspatstat.randomspatstat.univarspatstat.utilstestthattibbletidyselectutf8vctrsveganviridisLitewaldowithr