Changes in version 0.0.3                        

  - CFA/SEM Module Major Upgrade:
      - Added Structural Equation Modeling (SEM) support within the CFA
        module. SEM models are automatically detected via the ~ operator
        in lavaan syntax.
      - Expanded estimator options from 6 to 18 (ML, GLS, WLS, DWLS,
        ULS, DLS, PML, MLM, MLMVS, MLMV, MLF, MLR, WLSM, WLSMVS, WLSMV,
        ULSM, ULSMVS, ULSMV).
      - Added decimal separator option (dot/comma) for international
        compatibility.
      - Added Variances tab with Heywood case detection and warning
        alerts.
      - Implemented persistent model counter for accurate model tracking
        across deletions.
      - Added auto-generated model notes that detect syntax changes
        between model runs.
      - Added model deletion (trash icon) in the fit comparison table.
      - Expanded color schemes from 4 to 12 (added Pastel, Greyscale,
        Earth, Vibrant, Monochrome, Sunset, Rose, Mint).
      - Added collapsible plot settings panels (General & Layout, Node &
        Edge Sizes, Measurement Model, Colors & Display, Fit Indices).
      - Added Measurement Model sub-controls: Curve, Split Layout,
        SubScale width/height.
      - Added fit indices selector for customizing which fit indices
        appear on the path plot.
      - Added fit indices embedded in path plot as a legend box.
      - Added Download Plot (PNG) button.
      - Added Export Report (HTML) button with auto-generated HTML
        reports using RMarkdown.
      - Improved HTMT calculation to handle duplicate factor names in
        model syntax.
      - Relaxed acceptable fit status criteria for more realistic model
        evaluation.
      - Added SPSS (.sav) file import support via the haven package.
  - Added new dependencies: shinyBS, flextable, kableExtra, knitr,
    rmarkdown, officer, magick, haven, scales.

                 Changes in version 0.0.2 (2026-02-13)                  

  - Enhanced the Content Validity module with several methodological
    improvements:
      - Integrated official critical values of Aiken’s V (Aiken, 1985)
        for rating scales ranging from 3 to 7 categories.
      - Implemented scale-based Aiken’s V computation using
        user-selected theoretical rating ranges instead of observed
        minimum–maximum values.
      - Added dynamic selection of the item ID column for uploaded
        datasets.
      - Improved visual decision indicators for CVR, Aiken’s V, and CVI
        tables (color-coded validity status).
      - Disabled inferential evaluation of Aiken’s V for dichotomous
        (0/1) data.
  - Improved data validation and robustness for uploaded content
    validity datasets.
  - Minor UI refinements in Content Validity and CTT modules.

                 Changes in version 0.0.1 (2026-02-10)                  

  - Initial release to CRAN.
  - Includes a full Shiny-based graphical user interface for:
      - Content Validity (CV)
      - Exploratory Factor Analysis (EFA)
      - Confirmatory Factor Analysis (CFA)
      - Classical Test Theory (IRT)
      - Item Response Theory (IRT)
  - Includes interactive visualizations, downloadable outputs, and
    built-in example datasets.
  - Provides run_measureR() as the main entry point for launching the
    application.