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irtpwr
View on CRAN: Click
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Download and install irtpwr package within the R console
Install from CRAN:
install.packages("irtpwr")
Install from Github:
library("remotes")
install_github("cran/irtpwr")
Install by package version:
library("remotes")
install_version("irtpwr", "1.0.3")
Attach the package and use:
library("irtpwr")
Maintained by
Felix Zimmer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-16
Latest Update: 2023-11-20
Description:
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) ).
How to cite:
Felix Zimmer (2022). irtpwr: Power Analysis for IRT Models Using the Wald, LR, Score, and Gradient Statistics. R package version 1.0.3, https://cran.r-project.org/web/packages/irtpwr
Previous versions and publish date:
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Other R packages that irtpwr depends,
imports, suggests or enhances
Functions, R codes and Examples using
the irtpwr R package
Some associated functions: calc.time . irtpwr . load.functions . pars.long . plot.irtpwrresult . print.summary.irtpwrresult . setup.hypothesis . summary.irtpwrresult .
Some associated R codes: calc.pvalues.R . helper.R . hypothesis_templates.R . infmat.R . irtpwr.R . load.functions.R . mml.fit.R . plot.irtpwrresult.R . setup.data.R . setup.hypothesis.R . summary.irtpwrresult.R . Full irtpwr package functions and examples
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