cofad

• Extended competing-contrast support to the app. Favored and rival weights are standardized before their difference is analyzed, matching lambda_diff().
• Added conservative detect_design() suggestions based on replication, crossing, and nesting. Ambiguous data deliberately fall back to manual model selection.
• calc_contrast_aggregated() no longer requires an explicit data = NULL.
• Added the corrected mixed-design data set rosenthal_tbl68_mixed; the historical rosenthal_tbl68 object remains available for compatibility.
• Reduced hard dependencies by replacing small uses of dplyr, Hmisc, lifecycle, readr, rlang, stringr, and tibble with base R or foreign. The pipe remains available for backward compatibility.

Shiny app

• Restored stable, editable table-based model and contrast inputs. The model table shows automatic design suggestions but always permits manual changes.
• Added categorized between-subjects, within-subjects, and mixed examples. Each example loads the model roles and planned weights documented in its source; examples with published rival hypotheses open in competing mode.
• Mixed designs now explicitly offer either a between × within contrast or a within contrast averaged across groups. Pure designs follow the roles in the model table without redundant activation controls.
• Added detailed variance-decomposition F tables with ordinary and partial eta squared, calculation tooltips, directional paper-ready reports, and interactive Plotly partitions of variation. Mixed output is explicitly based on participants' derived within-contrast scores rather than raw repeated outcomes.
• Reports can be copied as rich HTML with a plain-text fallback. F tables can be copied as aligned text or HTML and downloaded as dependency-free DOCX files.
• Added APA 7 citation-copy controls for the tutorial and software paper. The package-level citation("cofad") command now returns both references.
• Improved file validation, example-loading security, small-p-value formatting, table sizing and alignment, tooltips, collapsible panels, accessible colors, version display, and responsive copy controls.

Documentation, deployment, and testing

• Added the 2025 *Behavior Research Methods* tutorial as the primary citation, alongside the JOSS software paper.
• Expanded the README with current R, app, Docker, and webR examples; equations now use GitHub's native mathematical notation.
• Added a browser-only Shinylive/webR build with automatic GitHub Pages deployment and a containerized Shiny deployment through Dockerfile.
• Expanded numerical, validation, design-detection, example-preset, citation, export, and in-process Shiny server tests. GitHub Actions now check multiple R versions and platforms and publish test coverage.
• Verified the publication year and DOI metadata for Rosenthal, Rosnow, and Rubin (2000) and clarified the Sedlmeier and Renkewitz Table 16.1/16.2 distinction.