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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 (may not be active yet)
Author: Hasan Djidu ORCID iD [aut, cre], Heri Retnawati ORCID iD [ctb], Samsul Hadi ORCID iD [ctb], Haryanto ORCID iD [ctb]
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

Documentation:

Reference manual: projectLSA.html , projectLSA.pdf
Vignettes: Introduction to projectLSA (source)

Downloads:

Package source: projectLSA_0.0.3.tar.gz
Windows binaries: r-devel: projectLSA_0.0.3.zip, r-release: not available, 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

Linking:

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.
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