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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irtpwr.pdf |irtpwr.html✨
irtpwr/json (API)
NEWS

# Install 'irtpwr' in R:

install.packages('irtpwr', repos = c('https://flxzimmer.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

4.78 score 1 stars 9 scripts 200 downloads 5 exports 83 dependencies

Last updated 9 months agofrom:faa97fd860. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 07 2024
R-4.5-win	OK	Nov 07 2024
R-4.5-linux	OK	Nov 07 2024
R-4.4-win	OK	Nov 07 2024
R-4.4-mac	OK	Nov 07 2024
R-4.3-win	OK	Nov 07 2024
R-4.3-mac	OK	Nov 07 2024

Exports:calc.time irtpwr load.functions pars.long setup.hypothesis

Dependencies:audio beepr brio callr cli cluster codetools colorspace crayon curl dcurver deldir Deriv desc diffobj digest dplyr evaluate fansi farver fs future future.apply generics ggplot2 globals glue GPArotation gridExtra gtable isoband jsonlite labeling lattice lifecycle listenv magrittr MASS Matrix mgcv mirt munsell nlme parallelly pbapply permute pillar pkgbuild pkgconfig pkgload polyclip praise processx progressr ps R.methodsS3 R.oo R.utils R6 RColorBrewer Rcpp RcppArmadillo rlang rprojroot RPushbullet scales sessioninfo SimDesign snow spatstat.data spatstat.geom spatstat.random spatstat.univar spatstat.utils testthat tibble tidyselect utf8 vctrs vegan viridisLite waldo withr

Adding Hypotheses

Rendered fromadding_hypotheses.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2022-11-09
Started: 2021-03-05

Demo

Rendered fromdemo.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2022-11-07
Started: 2020-11-02

Hypothesis Templates

Rendered fromhypothesis_templates.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2023-09-07
Started: 2022-11-02

Power Analysis for the Wald, LR, Score, and Gradient Tests using irtpwr

Jan Radek

Rendered frompower_analysis.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2023-09-29
Started: 2023-09-07

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculate the computation time needed for the analytical method	calc.time
Perform Power Analysis	irtpwr
Load IRT model functions and derivatives	load.functions
Transform parameters to a longer format	pars.long
Plot Power Curves	plot.irtpwrresult
Print Summary of the search result	print.summary.irtpwrresult
Setup null and alternative hypothesis	setup.hypothesis
Summary of the Power Analysis	summary.irtpwrresult