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.