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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 |
Reference manual: | GRShiny.pdf |
Vignettes: |
GRShiny |
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-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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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.