| Title: | Shiny Application for Latent Structure Analysis with a Graphical User Interface |
|---|---|
| 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>. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming. |
| Authors: | Hasan Djidu [aut, cre] (ORCID: <https://orcid.org/0000-0003-1110-6815>), Heri Retnawati [ctb] (ORCID: <https://orcid.org/0000-0002-1792-5873>), Samsul Hadi [ctb] (ORCID: <https://orcid.org/0000-0003-3437-2542>), Haryanto [ctb] (ORCID: <https://orcid.org/0000-0003-3322-904X>) |
| Maintainer: | Hasan Djidu <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 0.0.9 |
| Built: | 2026-06-08 06:49:08 UTC |
| Source: | https://github.com/hdmeasure/projectlsa |
This function starts the Shiny app included in the projectLSA package.
run_projectLSA()run_projectLSA()
Launches a Shiny application (no return value)
if (interactive()) { projectLSA::run_projectLSA() }if (interactive()) { projectLSA::run_projectLSA() }