Graded Response Model [R package GRShiny version 1.0.1]

GRShiny: Graded Response Model

Simulation and analysis of graded response data with different types of estimators. Also, an interactive shiny application is provided with graphics for characteristic and information curves. Samejima (2018) <doi:10.1007/978-1-4757-2691-6_5>.

Version: 1.0.1

Depends: R (≥ 3.6.0)

Imports: shiny, shinyWidgets, bslib, DT, lavaan, mirt, sirt, ggplot2 (≥ 3.5.2), dplyr, readr, tidyr, stringr, magrittr, purrr, data.table, MASS, utils, stats, flextable, gt, officer, openxlsx, sass

Suggests: testthat (≥ 3.2.0), knitr, rmarkdown

Published: 2025年08月21日

DOI: 10.32614/CRAN.package.GRShiny

Author: Sooyong Lee [aut, cre], Tiffany Whittaker [aut], Laura Stapleton [aut]

Maintainer: Sooyong Lee <sooyongl09 at gmail.com>

License: GPL (≥ 3)

URL: https://github.com/sooyongl/GRShiny

NeedsCompilation: no

Materials: README, NEWS

CRAN checks: GRShiny results

Documentation:

Reference manual: GRShiny.html , GRShiny.pdf

Vignettes: GRShiny (source, R code)

Downloads:

Package source: GRShiny_1.0.1.tar.gz

Windows binaries: r-devel: GRShiny_1.0.1.zip, r-release: GRShiny_1.0.1.zip, r-oldrel: GRShiny_1.0.1.zip

macOS binaries: r-release (arm64): GRShiny_1.0.1.tgz, r-oldrel (arm64): GRShiny_1.0.1.tgz, r-release (x86_64): GRShiny_1.0.1.tgz, r-oldrel (x86_64): GRShiny_1.0.1.tgz

Old sources: GRShiny archive

Linking:

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