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: 1.0.0
Depends: R (≥ 3.6.0)
Imports: shiny, shinyWidgets, bslib, DT, lavaan, mirt, sirt, ggplot2 (≥ 3.4.0), dplyr, readr, tidyr, stringr, magrittr, purrr, data.table, MASS, utils, stats, flextable, gt, officer, openxlsx, sass
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2023-05-03
DOI: 10.32614/CRAN.package.GRShiny
Author: Sooyong Lee [aut, cre], Tiffany Whittaker [aut], Laura Stapleton [aut]
Maintainer: Sooyong Lee <sooyongl09 at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: GRShiny results


Reference manual: GRShiny.pdf
Vignettes: GRShiny


Package source: GRShiny_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GRShiny_1.0.0.tgz, r-oldrel (arm64): GRShiny_1.0.0.tgz, r-release (x86_64): GRShiny_1.0.0.tgz, r-oldrel (x86_64): GRShiny_1.0.0.tgz


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