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measureR 0.0.5

This release moves directly from 0.0.3 to 0.0.5 (version 0.0.4 was not released). The application remains a Shiny app launched with run_measureR().

New features

• AI assistant in every module: ask free-form questions about the current results or generate a results summary. Supports Google Gemini, OpenAI, Groq, OpenRouter, and Anthropic; users supply their own API key in the Settings on the homepage. Reference documents (including PDF) can be attached as context.
• R console panel: a floating panel showing the R code behind each analysis, so results can be reproduced and validated outside the app.
• HTML report export for the Content Validity, CTT, EFA, CFA/SEM, and IRT modules, with an optional AI-generated summary embedded in the report.
• IRT module replaces the earlier LTA module, with item/test information visualisation and Excel/RDS export of results.
• CFA/SEM: variable aggregation (parceling) builder, scoring of new data, robust fit-index option, editable model-comparison table, and a method guide.
• Excel (.xlsx) export of results and data templates across modules.

Other changes

• Added dependencies: httr, jsonlite, pdftools, writexl.
• Updated the homepage and styling.

measureR 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.

measureR 0.0.2

• 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.

measureR 0.0.1

• 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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.