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.
| Version: |
0.0.8 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
colourpicker, data.table, dplyr, DT, ggiraph, ggplot2, glca, haven, lavaan, mclust, mirt, plotly, poLCA, psych, purrr, readr, readxl, rlang, semPlot, semptools, shiny, shinyWidgets, stats, stringr, tibble, tidyr, tidyLPA, tidyverse, viridisLite |
| Suggests: |
knitr, pkgdown, rmarkdown |
| Published: |
2026-02-07 |
| DOI: |
10.32614/CRAN.package.projectLSA |
| Author: |
Hasan Djidu  [aut,
cre],
Heri Retnawati
[ctb],
Samsul Hadi [ctb],
Haryanto [ctb] |
| Maintainer: |
Hasan Djidu <hasandjidu at gmail.com> |
| BugReports: |
https://github.com/hdmeasure/projectLSA/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/hdmeasure/projectLSA |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
projectLSA results |
Documentation:
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