projectLSA: Latent Structure Analysis Toolkit
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.
| Version: | 0.0.3 |
| Depends: | R (≥ 4.0.0) |
| 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 |
| Published: | 2025-12-10 |
| 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/hasandjidu/projectLSA/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/hasandjidu/projectLSA |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | projectLSA results |
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