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ShinyItemAnalysis: Test and Item Analysis via Shiny

Package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.

Version: 1.5.1
Depends: R (≥ 3.5.0)
Imports: difR (≥ 5.0), dplyr, ggplot2 (≥ 3.4.0), lme4, magrittr, methods, mirt (≥ 1.28), nnet, psych (≥ 2.1.9), purrr, rlang, rstudioapi, tibble, tidyr
Suggests: data.table, deltaPlotR, difNLR (≥ 1.4.1), DT, ggdendro, gridExtra, knitr, latticeExtra, ltm, plotly, rmarkdown, shiny (≥ 1.6.0), shinyBS, shinydashboard, shinyjs, stringr, testthat (≥ 3.0.0), VGAM, xtable, yaml
Published: 2024-04-24
DOI: 10.32614/CRAN.package.ShinyItemAnalysis
Author: Patricia Martinkova [aut, cre], Adela Hladka [aut], Jan Netik [aut], Ondrej Leder [ctb], Jakub Houdek [ctb], Lubomir Stepanek [ctb], Tomas Jurica [ctb], Jana Vorlickova [ctb]
Maintainer: Patricia Martinkova <martinkova at cs.cas.cz>
BugReports: https://github.com/patriciamar/ShinyItemAnalysis/issues
License: GPL-3
URL: https://www.ShinyItemAnalysis.org
NeedsCompilation: no
Citation: ShinyItemAnalysis citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: ShinyItemAnalysis results [issues need fixing before 2024-12-07]

Documentation:

Reference manual: ShinyItemAnalysis.pdf

Downloads:

Package source: ShinyItemAnalysis_1.5.1.tar.gz
Windows binaries: r-devel: ShinyItemAnalysis_1.5.1.zip, r-release: ShinyItemAnalysis_1.5.1.zip, r-oldrel: ShinyItemAnalysis_1.5.1.zip
macOS binaries: r-release (arm64): ShinyItemAnalysis_1.5.1.tgz, r-oldrel (arm64): ShinyItemAnalysis_1.5.1.tgz, r-release (x86_64): ShinyItemAnalysis_1.5.1.tgz, r-oldrel (x86_64): ShinyItemAnalysis_1.5.1.tgz
Old sources: ShinyItemAnalysis archive

Reverse dependencies:

Reverse imports: RSP, SIAmodules
Reverse suggests: difNLR

Linking:

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

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.