Changes in version 0.8.2 (2026-07-02)                  

Outlier workflow

  - Standardized test_outliers() on the same test_*(formula, data, ...)
    calling convention used by the other workflow helpers.
  - Kept outlier visualization on the generic plot() S3 path via
    plot.testflow().
  - Hardened assumption printing so workflows with extra diagnostic
    columns no longer break print().

Output

  - Structured printed testflow and summary output with cli-based
    colors, section headings, field labels, and assumption bullets.
  - Interactive console colors are enabled by default for printed
    testflow objects and summaries. Set options(testflow.cli_colors =
    FALSE) to disable them, or options(testflow.cli_colors = TRUE) to
    force colors in scripts.

Documentation and release prep

  - Added a dedicated sumtab() example to the README.
  - Added an effect-size formulas vignette documenting the implemented
    formulas for Cohen's d, eta squared, Cramer's V, rank-biserial
    correlation, Kendall's W, and related workflow summaries.
  - Added validation tests that pin the documented Cohen's d formulas to
    the implementation.
  - Removed generated vignette PDFs from the source repository.

                        Changes in version 0.8.1                        

Summary tables

  - Added sumtab() for formula-driven descriptive summary tables with
    optional automatic p-value selection.

Validation and documentation

  - Added canonical references to workflow documentation and the main
    vignette.
  - Added deeper validation checks against base R/reference calculations
    for one-sample tests, proportions, correlations, categorical
    association, and factorial ANOVA.
  - Kept the hardened repeated-measures and post-hoc workflows from
    0.8.0.

                        Changes in version 0.8.0                        

Method hardening

  - Replaced the repeated-categorical Friedman approximation with an
    explicit Cochran Q implementation for binary repeated measures.
  - Added pairwise McNemar post-hoc comparisons for repeated categorical
    workflows.
  - Added base R repeated-measures ANOVA extraction for normal repeated
    numeric workflows.
  - Added paired post-hoc comparisons for repeated numeric workflows:
    paired t-tests after repeated-measures ANOVA and paired Wilcoxon
    tests after Friedman.
  - Added method-specific post-hoc selection for multi-group
    comparisons: Tukey HSD after classical ANOVA, Welch pairwise t-tests
    after Welch ANOVA, and pairwise Wilcoxon tests after Kruskal-Wallis.
  - Added validation tests comparing repeated ANOVA and Cochran Q
    results against explicit base R/reference formulas.

                        Changes in version 0.7.0                        

First public release.

Workflow API

  - Added formula-first support for core study designs:
      - test_two_groups(outcome ~ group, data = data)
      - test_groups(outcome ~ group, data = data)
      - test_categorical(x ~ y, data = data)
      - test_correlation(y ~ x, data = data)
      - test_paired(after ~ before, data = data)
      - test_factorial(outcome ~ factor1 * factor2, data = data)
  - Preserved data-first and pipe-friendly calls for existing examples.

Results

  - Primary test results now expose the null hypothesis, confidence
    interval columns when available, and effect size fields.
  - as_tibble() includes H0, confidence interval, effect size name,
    effect size estimate, effect size magnitude, and decision.

Documentation

  - Added rendered HTML vignettes in inst/doc.
  - Expanded the README with a list of implemented workflows and tests
    considered.

Quality

  - Added focused tests for formula-first calls, H0, confidence
    intervals, and effect size exposure.
  - Added GitHub Actions R CMD check workflow.