| Title: | Tools for Educational and Psychological Measurement |
| Version: | 0.0.1 |
| Description: | 'Provides an interactive toolkit for educational and psychological measurement implemented using the 'shiny' framework. The package supports content validity analysis, dimensionality assessment, and Classical Test Theory using the 'CTT' package (Willse, 2018) <doi:10.32614/CRAN.package.CTT>.Item Response Theory (IRT) analyses are conducted via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>. Exploratory Factor Analysis is performed using 'psych' (Revelle, 2025), while Confirmatory Factor Analysis and Structural Equation Modeling are based on the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. The application allows users to upload data, evaluate statistical models, visualize results, and export outputs through an intuitive graphical interface without requiring programming experience. |
| License: | MIT + file LICENSE |
| Depends: | R (≥ 4.0.0) |
| Encoding: | UTF-8 |
| Imports: | colourpicker, CTT, data.table, dplyr, DT, ggplot2, lavaan, mirt, psych, purrr, readr, readxl, rlang, semPlot, semptools, shiny, shinyWidgets, stats, stringr, tibble, tidyr, tidyverse, viridisLite |
| Suggests: | knitr, pkgdown, rmarkdown, testthat (≥ 3.0.0) |
| RoxygenNote: | 7.3.3 |
| VignetteBuilder: | knitr |
| URL: | https://github.com/hdmeasure/measureR |
| BugReports: | https://github.com/hdmeasure/measureR/issues |
| Config/testthat/edition: | 3 |
| NeedsCompilation: | no |
| Packaged: | 2026-02-07 22:58:06 UTC; hasandjidu |
| Author: | Hasan Djidu  [aut,
cre] |
| Maintainer: | Hasan Djidu <hasandjidu@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2026-02-10 21:40:02 UTC |
Educational and Psychological Measurement Toolkit
Description
Provides an interactive Shiny-based environment for educational and psychological measurement, supporting content validity, dimensionality assessment, Classical Test Theory (CTT), Item Response Theory (IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). All analyses are conducted through an intuitive graphical user interface without requiring users to write code.
This file records package-level imports for roxygen2 so that NAMESPACE will include the appropriate import directives.
Main Function
The primary entry point is run_measureR, which launches the
full interactive application.
Author(s)
Maintainer: Hasan Djidu hasandjidu@gmail.com (ORCID)
See Also
Useful links:
Useful links:
Launch the measureR Shiny Application
Description
This function starts the Shiny app included in the measureR package.
Usage
run_measureR()
Value
Launches a Shiny application (no return value)
Examples
is.function(run_measureR)