apastats2 1.1.0

• 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.

apastats2 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.

apastats2 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.

apastats2 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.

apastats2 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.

apastats2 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.

apastats 0.5

• The first and the last release before switching to apastats2