projectLSA 0.0.9

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.

projectLSA 0.0.8

• 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.

projectLSA 0.0.7

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

projectLSA 0.0.6

• 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.

projectLSA 0.0.5

• 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.

projectLSA 0.0.3

• 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.