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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 |
| Maintainer: | Hasan Djidu <hasandjidu at gmail.com> |
| BugReports: | https://github.com/hasandjidu/projectLSA/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/hasandjidu/projectLSA |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | projectLSA results |
| Reference manual: | projectLSA.html , projectLSA.pdf |
| Vignettes: |
Introduction to projectLSA (source) |
| Package source: | projectLSA_0.0.3.tar.gz |
| Windows binaries: | r-devel: projectLSA_0.0.3.zip, r-release: projectLSA_0.0.3.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): projectLSA_0.0.3.tgz, r-oldrel (arm64): projectLSA_0.0.3.tgz, r-release (x86_64): projectLSA_0.0.3.tgz, r-oldrel (x86_64): projectLSA_0.0.3.tgz |
Please use the canonical form https://CRAN.R-project.org/package=projectLSA to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.