| Title: | Shiny Application for Latent Structure Analysis with a Graphical User Interface |
| Version: | 0.1.1 |
| 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) <doi:10.32614/CRAN.package.poLCA> & 'glca' (Kim & Kim, 2024) <doi:10.32614/CRAN.package.glca>, 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>. The CFA/SEM module additionally supports multi-group invariance testing, latent growth modelling, modification indices, and path diagram visualisation. Every module can save and restore an analysis session, export an 'R Markdown' HTML report, and consult an optional AI assistant that interprets the current results through a user-supplied large language model API key. 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: | shinyBS, colourpicker, data.table, dplyr, DT, flextable, ggiraph, ggplot2, glca, haven, httr, jsonlite, kableExtra, knitr, lavaan, magick, mclust, mirt, officer, plotly, poLCA, psych, purrr, readr, readxl, rlang, rmarkdown, scales, semPlot, semptools, shiny, shinycssloaders, shinyWidgets, stats, stringr, tibble, tidyr, tidyLPA, viridisLite, writexl |
| Suggests: | pdftools, pkgdown, semTools, testthat (≥ 3.0.0) |
| VignetteBuilder: | knitr |
| URL: | https://github.com/hdmeasure/projectLSA |
| BugReports: | https://github.com/hdmeasure/projectLSA/issues |
| Config/roxygen2/version: | 8.0.0 |
| Config/testthat/edition: | 3 |
| NeedsCompilation: | no |
| Packaged: | 2026-08-22 08:47:01 UTC; hasandjidu |
| Author: | Hasan Djidu |
| Maintainer: | Hasan Djidu <hasandjidu@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2026-08-22 09:20:08 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)
Authors:
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/hdmeasure/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()
}