Package: projectLSA
Title: R Shiny Application for Latent Structure Analysis with a
        Graphical User Interface
Version: 0.0.6
Authors@R: 
    c(
      person(
        given = "Hasan",
        family = "Djidu",
        email = "hasandjidu@gmail.com",
        role = c("aut", "cre"),
        comment = c(ORCID = "0000-0003-1110-6815")
      ),
      person(
        given = "Heri",
        family = "Retnawati",
        role = "ctb",
        comment = c(ORCID = "0000-0002-1792-5873")
      ),
      person(
        given = "Samsul",
        family = "Hadi",
        role = "ctb",
        comment = c(ORCID = "0000-0003-3437-2542")
      ),
      person(
        given = "Haryanto",
        family = "",
        role = "ctb",
        comment = c(ORCID = "0000-0003-3322-904X")
      )
    )
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>. 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: colourpicker, data.table, dplyr, DT, ggiraph, ggplot2, glca,
        haven, lavaan, mclust, mirt, plotly, poLCA, psych, purrr,
        readr, readxl, rlang, semPlot, semptools, semTools, shiny,
        shinyWidgets, stats, stringr, tibble, tidyr, tidyLPA,
        viridisLite
Suggests: knitr, pkgdown, rmarkdown
RoxygenNote: 7.3.3
VignetteBuilder: knitr
URL: https://github.com/hasandjidu/projectLSA
BugReports: https://github.com/hasandjidu/projectLSA/issues
NeedsCompilation: no
Packaged: 2026-01-16 04:18:26 UTC; hasandjidu
Author: Hasan Djidu [aut, cre] (ORCID: <https://orcid.org/0000-0003-1110-6815>),
  Heri Retnawati [ctb] (ORCID: <https://orcid.org/0000-0002-1792-5873>),
  Samsul Hadi [ctb] (ORCID: <https://orcid.org/0000-0003-3437-2542>),
  Haryanto [ctb] (ORCID: <https://orcid.org/0000-0003-3322-904X>)
Maintainer: Hasan Djidu <hasandjidu@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-16 12:00:06 UTC
Built: R 4.6.0; ; 2026-01-20 00:54:41 UTC; windows
