projectLSA

projectLSA is an R package that provides a complete graphical user interface (GUI) for conducting Latent Structure Analysis (LSA) through a Shiny application. It integrates multiple latent variable methods, including:

Latent Profile Analysis (LPA)
Latent Class Analysis (LCA)
Latent Trait Analysis (LTA / IRT)
Exploratory Factor Analysis (EFA)
Confirmatory Factor Analysis (CFA)

All analyses can be performed without writing any code, making the package accessible for researchers, students, and applied analysts.

Installation

# Install from CRAN (when available)
install.packages("projectLSA")

# Install development version from GitHub (optional)
# remotes::install_github("hasandjidu/projectLSA")

Launch the Application

library(projectLSA)
run_projectLSA()

This opens the full Shiny application, including all LSA modules, data upload, built-in datasets, interactive plots, and reporting features.

Features

✔ Latent Profile Analysis (LPA)

Upload your own dataset or use built-in examples.
Fit multiple LPA models automatically.
Compare AIC, BIC, entropy, and class size.
Visualize the best model with customizable class names.

✔ Latent Class Analysis (LCA)

Supports categorical indicators.
Fits multiple class solutions.
Interactive plots with ggiraph.
Probability tables and class membership export.

✔ Latent Trait Analysis (LTA / IRT)

Supports dichotomous and polytomous items.
Automatically fits Rasch, 2PL, 3PL (or PCM/GRM/GPCM).
ICC plots, test information, factor scores.
Multi-dimensional visualization with 3D surfaces and heatmaps.

✔ Exploratory Factor Analysis (EFA)

KMO, Bartlett test, parallel analysis.
Factor extraction with rotation.
Factor scores and loading matrix export.
Clean HTML summaries for clearer interpretation.

✔ Confirmatory Factor Analysis (CFA)

Lavaan model editor.
Fit measures, loadings, factor scores.
Fully customized SEM path diagrams.

Example Screenshots

Citation

If you use projectLSA in publications, please cite:

Djidu, H., Retnawati, H., Hadi, S., & Haryanto (2025). projectLSA: An R Shiny application for latent structure analysis with a graphical user interface.

Contributing

Bug reports and feature requests are welcome:

https://github.com/hasandjidu/projectLSA/issues