Changes in version 1.1.0 (2026-11-07)                  

  - Added correlation-adjusted intervals to get_adjusted_ci() with
    adjustments = list(decorrelation = "CA"). Correlations are computed
    separately within each between-subject group after cell aggregation
    and incomplete-subject removal. Cousineau-Morey ("CM") remains the
    default.
  - get_adjusted_ci() no longer looks up SE.<name>/CI.<name> precision
    functions by name; for summary functions without a built-in formula,
    pass errorbar as a function.
  - Compacted interval-precision selection, ANOVA and regression
    formatting, and confidence-interval text formatting while preserving
    existing output conventions.
  - Simplified plot_pointrange() to use the same interval columns for
    between- and within-subject summaries, including margin summaries.
  - Made incomplete-cell diagnostics part of the warning or error so
    that suppressing a warning also suppresses its diagnostic table.
  - Replaced deprecated brms::posterior_samples() with
    brms::as_draws_matrix(), retaining exact coefficient selection and
    optional transformations.
  - Fixed format_results(type = "plotmath") returning NULL when the
    input contains no comma.
  - Addressed CRAN review: removed quotes around APA in the package
    metadata, replaced T/F logical abbreviations, documented return
    classes and meanings (including deprecated functions), added package
    links, and corrected HTML rendering of column-name placeholders.
  - Made examples executable or marked long examples with \donttest{},
    replaced the slow BayesFactor example with a small t-test, and added
    regression coverage for interval calculations, formatting, and plot
    summaries.

                        Changes in version 1.0.6                        

  - get_adjusted_ci() now supports correlation-adjusted (decorrelation =
    "CA") intervals for within-subject and mixed designs, using the mean
    pairwise condition correlation separately within each
    between-subject group. The default remains Cousineau-Morey ("CM").
  - CA supports the existing aggregation, confidence-level,
    precision-function, missing-subject, and difference-purpose options.
    Undefined correlations produce informative errors. The
    implementation has no runtime dependency on superb; regression tests
    compare against it when available.

                        Changes in version 1.0.5                        

  - Removed the internal summarySE(), summarySEwithin() and
    normDataWithin() helpers; plot_pointrange() now computes margins
    with get_adjusted_ci(), which also fixes add_margin = TRUE with
    within_subj = TRUE.
  - get_adjusted_ci() no longer warns that the drop argument is ignored
    when reporting incomplete cells.
  - base_breaks() no longer prints the computed breaks.
  - Fixed typos in the documentation, added a spelling word list, and
    made the apa.BFBayesFactor() example faster.
  - Changed the maintainer e-mail address.

                        Changes in version 1.0.4                        

  - Added the memory_noise example dataset derived from Chetverikov &
    Hansmann-Roth (2026), using unequal-noise trials and
    density-asymmetry bias scores; Exp. 1A vs. Exp. 1B is the
    between-subject factor and target relative noise is the
    within-subject factor.
  - Removed the legacy faces example dataset; maintained examples now
    use memory_noise or built-in datasets.
  - Added get_adjusted_ci() as the general interval engine for
    between-subject, within-subject, and mixed designs;
    plot_pointrange() now uses it for both between- and within-subject
    summaries.
  - Reimplemented Cousineau-Morey intervals internally, removing the
    superb/reshape2 dependency and the development-branch Remotes entry
    while documenting the implementation's basis in the superb
    framework.
  - get_adjusted_ci() supports arbitrary scalar summary functions, with
    superb-compatible SE/CI formulas for common statistics and custom
    precision-function hooks. The old get_superb_ci() name remains as a
    deprecated compatibility wrapper.
  - Added apa() support for stats::aov() models with Error() terms
    (aovlist objects), fixing #9.
  - Added apa() support for afex::aov_ez, afex::aov_car, and afex::aov_4
    results via afex_aov dispatch.
  - Added deprecated describe.afex() compatibility wrapper.

                        Changes in version 1.0.3                        

  - Added direct apa.glm support for lmerTest::lmer model objects via
    lmerModLmerTest dispatch.
  - Added direct apa.glm support for lme4::glmer model objects via
    glmerMod dispatch.
  - Fixed apa.glm mixed-model class checks so lmerTest fits use the
    correct coefficient, df, and p-value handling.
  - Documented that omitting term returns a formatted summary table for
    all coefficients and added a lmerTest::lmer example.

                        Changes in version 1.0.2                        

  - apastats2 is set as the main branch
  - Added a package vignette (apastats2-intro) and updated README
    documentation.
  - Migrated legacy dot-named utility functions to snake_case canonical
    names.
  - Kept legacy dot-named utility APIs as deprecated wrappers for
    backward compatibility.
  - Replaced deprecated ggplot2::aes_string() usage with tidy-eval
    mapping.
  - Updated package metadata/build ignores for vignettes and Git-related
    files.

                         Changes in version 0.5                         

  - The first and the last release before switching to apastats2