Package {projectLSA}

Title: Shiny Application for Latent Structure Analysis with a Graphical User Interface
Version: 0.2.0
Date: 2026-10-23
Description: 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>. The CFA/SEM module additionally supports multi-group invariance testing, latent growth modelling, ordinal indicators estimated from polychoric correlations, modification indices, and path diagram visualisation. Every module can save and restore an analysis session and export an 'R Markdown' HTML report whose sections can be drafted with an optional AI assistant. The assistant interprets the current results through one or several large language models reached with user-supplied API keys, including providers with a free tier. The application runs in a responsive HTML interface. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming.
License: MIT + file LICENSE
Depends: R (≥ 4.0.0)
Encoding: UTF-8
Imports: shinyBS, colourpicker, curl, data.table, dplyr, DT, flextable, ggiraph, ggplot2, glca, haven, jsonlite, kableExtra, knitr, lavaan, magick, mclust, mirt, nnet, officer, plotly, poLCA, psych, purrr, readr, readxl, rlang, rmarkdown, scales, semPlot, semptools, shiny, shinycssloaders, shinyWidgets, stats, stringr, tibble, tidyr, tidyLPA, viridisLite, writexl
Suggests: pdftools, pkgdown, semTools, testthat (≥ 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/hdmeasure/projectLSA
BugReports: https://github.com/hdmeasure/projectLSA/issues
Config/roxygen2/version: 8.0.0
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-10-23 00:46:39 UTC; hasandjidu
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@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-23 09:10:15 UTC

Latent Structure Analysis Toolkit

Description

Provides an interactive Shiny-based environment for performing 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). All analyses are conducted through a graphical user interface without requiring users to write code.

This file records package-level imports for roxygen2 so that NAMESPACE will include the appropriate import directives.

Main Function

The primary entry point is run_projectLSA, which launches the full interactive application.

Author(s)

Maintainer: Hasan Djidu hasandjidu@gmail.com (ORCID)

Authors:

Other contributors:

See Also

Useful links:

Launch the projectLSA Shiny Application

Description

This function starts the Shiny app included in the projectLSA package.

Usage

run_projectLSA()

Value

Launches a Shiny application (no return value)

Examples

if (interactive()) {
  projectLSA::run_projectLSA()
}