cofad 0.4.0

Analysis and API

• Added participant-level r scores for within-subjects and mixed contrasts via within_score = "r". The existing L score remains the default: use L when response magnitude matters and r when agreement with the predicted pattern matters.
• Corrected sums of squares, pooled error variance, and effect sizes for between-subjects designs with unequal group sizes. Raw and aggregated input now use the same formulas, and effect-size conversions preserve contrast direction.
• Corrected the within-only r_contrast calculation to use the denominator degrees of freedom from its contrast test. The paper-ready report now uses the signed r_contrast consistently and relates its square to the contrast-specific eta-squared measures.
• 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.

cofad 0.3.3

• report correct df for t test

cofad 0.3.2

• change dv name for akan

cofad 0.3.1

• fix github action for joss paper
• fix some typos
• add install instructions for cran
• remove rtools instructions (only relevant for dev version)
• change order of condition variable for akan data set
• add Maraver 2021 data set

cofad 0.3.0

• several bugs were fixed including rare occasions, where the order of factors was not treated correctly
• included a helper function to calculate differences between two sets of lambdas for a competing contrast analysis, including documentation
• added data examples
• remove plyr as dependency
• spell check
• change maintainer to Johannes Titz, change order of authors, add contributors Mirka Henninger and Simone Malejka
• improve summary functions, content and display
• modify shiny GUI to use normal elements due to instability with moving elements (sortable)
• migrate to shinytest2
• include test for aggregated function, make it work with summary
• deduplicate code (reuse between for mixed)
• update summary for mixed

cofad 0.2.1

• small improvements in documentation, references and paper for the official publication at journal of open source software

cofad 0.2.0

• Added a NEWS.md file to track changes to the package.
• Added Shiny GUI.
• Improved structure of the package.
• Fixed Bug with 0-variance conditions.
• Improved README.
• Improved examples.
• Improved documentation.
• Added and documented data sets.
• Added function for aggregated data.