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 gmail.com>
License:	GPL (≥ 3)
URL:	https://github.com/sooyongl/GRShiny
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	GRShiny results

Documentation:

Reference manual:	GRShiny.pdf
Vignettes:	GRShiny (source, R code)

Downloads:

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