Changes in version 0.0.9 (2026-05-09)                  

CFA/SEM Reporting Module

  - Added HTML report generation for CFA and SEM models via R Markdown,
    including model summary narrative, fit index comparison tables, and
    side-by-side path diagrams (initial vs. final model).
  - Report automatically detects whether the fitted model is CFA or SEM
    based on the presence of regression paths (~ operator).
  - Report supports configurable decimal separator (period or comma) for
    international conventions.

Path Plot Enhancements

  - Added five new color palettes: Vibrant, Monochrome, Sunset, Rose,
    and Mint.
  - Decimal separator setting now also applies to edge labels on the
    path diagram.

UI & UX Improvements

  - Citation copy and download buttons aligned and centered on the
    homepage.
  - New runtime dependencies added to Imports: kableExtra, knitr,
    magick, officer, rmarkdown, scales.

                 Changes in version 0.0.8 (2026-02-07)                  

  - Removed dependency on the semTools package.
  - Re-implemented Average Variance Extracted (AVE), Composite
    Reliability (CR), and Heterotrait–Monotrait Ratio (HTMT) internally
    using lavaan-based computations.
  - The HTMT implementation follows the default HTMT2 formulation
    (geometric mean) and produces results identical to semTools::htmt().
  - No changes to the public API or user-facing outputs.
  - Minor internal refactoring of the Shiny server logic for CFA
    diagnostics.

                 Changes in version 0.0.7 (2026-01-30)                  

  - Minor refinements to the Shiny application codebase to support the
    new exploratory functionality

                 Changes in version 0.0.6 (2026-01-16)                  

  - Extended and enhanced the Latent Class Analysis (LCA) and Latent
    Profile Analysis (LPA) modules with additional tools for in-depth
    result exploration.
  - Added advanced exploratory features to support deeper inspection of
    class/profile characteristics, model outputs, and interpretation
    workflows.
  - Improved interactivity and usability of LCA and LPA result views
    within the Shiny application.
  - Internal refinements to the Shiny application codebase to support
    the new exploratory functionality.
  - No changes to the public API or core estimation procedures.

                 Changes in version 0.0.5 (2026-01-08)                  

  - Documentation updated and expanded, including README.Rmd, README.md,
    and rendered README.html.
  - Figures reorganized and updated to improve clarity of methodological
    workflows.
  - Minor refinements to package metadata and CRAN submission-related
    files.
  - No changes to the public API or core analytical functionality.

                 Changes in version 0.0.3 (2025-12-10)                  

  - Initial release to CRAN.
  - Includes a full Shiny-based graphical user interface for:
      - Latent Profile Analysis (LPA)
      - Latent Class Analysis (LCA)
      - Latent Trait Analysis (LTA / IRT)
      - Exploratory Factor Analysis (EFA)
      - Confirmatory Factor Analysis (CFA)
  - Includes interactive visualizations, downloadable outputs, and
    built-in example datasets.
  - Provides run_projectLSA() as the main entry point for launching the
    application.