projectLSA - Shiny Application for Latent Structure Analysis with a Graphical
User Interface
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.
