| Title: | Latent Structure Analysis Toolkit |
| Version: | 0.0.3 |
| Description: | Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) <doi:10.21105/joss.00978>, LCA through 'poLCA' (Linzer & Lewis, 2011), LTA/IRT via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming. |
| License: | MIT + file LICENSE |
| Depends: | R (≥ 4.0.0) |
| Encoding: | UTF-8 |
| Imports: | colourpicker, dplyr, DT, ggiraph, ggplot2, lavaan, mirt, plotly, poLCA, psych, purrr, readr, readxl, rlang, semPlot, semptools, semTools, shiny, shinyWidgets, stringr, tibble, tidyr, tidyLPA, viridisLite |
| Suggests: | knitr, pkgdown, rmarkdown |
| RoxygenNote: | 7.3.3 |
| VignetteBuilder: | knitr |
| URL: | https://github.com/hasandjidu/projectLSA |
| BugReports: | https://github.com/hasandjidu/projectLSA/issues |
| NeedsCompilation: | no |
| Packaged: | 2025-12-04 12:08:53 UTC; hasandjidu |
| Author: | Hasan Djidu  [aut,
cre],
Heri Retnawati
[ctb],
Samsul Hadi [ctb],
Haryanto [ctb] |
| Maintainer: | Hasan Djidu <hasandjidu@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2025-12-10 20:50:02 UTC |
Latent Structure Analysis Toolkit
Description
Provides an interactive Shiny-based environment for performing Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA; IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). All analyses are conducted through a 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_projectLSA, which launches the
full interactive application.
Author(s)
Maintainer: Hasan Djidu hasandjidu@gmail.com (ORCID)
Other contributors:
Heri Retnawati (ORCID) [contributor]
Samsul Hadi (ORCID) [contributor]
Haryanto (ORCID) [contributor]
See Also
Useful links:
Report bugs at https://github.com/hasandjidu/projectLSA/issues
Useful links:
Report bugs at https://github.com/hasandjidu/projectLSA/issues
Launch the projectLSA Shiny Application
Description
This function starts the Shiny app included in the projectLSA package.
Usage
run_projectLSA()
Value
Launches a Shiny application (no return value)
Examples
if (interactive()) {
projectLSA::run_projectLSA()
}