| Type: | Package |
| Title: | 'shiny' Applications for Statistical and Psychometric Analysis |
| Version: | 0.5 |
| Maintainer: | Eren Can Aybek <erencan@aybek.net> |
| Description: | Toolbox with 'shiny' applications for widely used psychometric methods. Those methods include following analysis: Item analysis, item response theory calibration, principal component analysis, confirmatory factor analysis - structural equation modeling, generating simulated data. References: Chalmers (2012, <doi:10.18637/jss.v048.i06>); Revelle (2022, <https://CRAN.R-project.org/package=psych Version = 2.2.9.>); Rosseel (2012, <doi:10.18637/jss.v048.i02>); Magis & Raiche (2012, <doi:10.18637/jss.v048.i08>); Magis & Barrada (2017, <doi:10.18637/jss.v076.c01>). |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.3 |
| Imports: | DT, GPArotation, MVN (≥ 6.0), Metrics, ShinyItemAnalysis, catR, foreign, gt, hornpa, igraph, lavaan, mirt, plyr, ggplot2, polycor, psych, rJava, semPlot, shinyBS, shinyWidgets, scales, ltm, shinycustomloader, shinyjs, shinythemes, xlsx, shiny, utils, rstudioapi |
| Depends: | R (≥ 2.10) |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Config/testthat/edition: | 3 |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2026-01-20 14:13:54 UTC; ec |
| Author: | Celal Deha Dogan 
[aut],
Eren Can Aybek
[aut, cre],
Sumeyra Soysal [ctb] |
| Repository: | CRAN |
| Date/Publication: | 2026-01-21 08:00:26 UTC |
Testing measurement & structural models for dichotomous and polytomous data
Description
Testing measurement & structural models for dichotomous and polytomous data
Usage
CFA()
Value
No return value, opens web browser and loads shiny application
Examples
## Not run: CFA()
Run exploratory factor analysis for dichotomous and polytomous data
Description
Run exploratory factor analysis for dichotomous and polytomous data
Usage
FA()
Value
No return value, opens web browser and loads shiny application
Examples
## Not run: FA()
Run exploratory factor analysis for dichotomous and polytomous data
Description
Run exploratory factor analysis for dichotomous and polytomous data
Usage
INTERNAL()
Value
No return value, opens web browser and loads shiny application
Examples
## Not run: FA()
Item calibration according to item response theory models
Description
Item calibration according to item response theory models
Usage
IRT()
Value
No return value, opens web browser and loads shiny application
Examples
## Not run: IRT()
Item and test statistics based on classical test theory,
Description
Item and test statistics based on classical test theory,
Usage
ITEMAN()
Value
No return value, opens web browser and loads shiny application
Examples
## Not run: ITEMAN()
Run principal component analysis for dichotomous and polytomous data
Description
Run principal component analysis for dichotomous and polytomous data
Usage
PCA()
Value
No return value, opens web browser and loads shiny application
Examples
## Not run: PCA()
Generate simulated data according to IRT for dichotomous and polytomous data Generate multidimensional data for factor analysis # param options(java.parameters = "-Xmx8000m")
Description
Generate simulated data according to IRT for dichotomous and polytomous data Generate multidimensional data for factor analysis # param options(java.parameters = "-Xmx8000m")
Usage
SIMDATA()
Value
No return value, opens web browser and loads shiny application
Examples
## Not run: SIMDATA()