Changes in version 2.0.0 (2026-04-29)                  

New Features

  - Added easy_logistic_regression() for binary logistic regression with
    odds ratios, approximate odds-ratio confidence intervals,
    likelihood-ratio model tests, McFadden pseudo-R2, and automated
    narrative reporting.

  - Added richer supporting tables:
    
      - ANOVA now includes group descriptives, assumption checks, and
        Tukey post-hoc comparisons.
      - Chi-square tests now include observed contingency tables,
        expected counts, row percentages, column percentages, and total
        percentages.
      - Regression now includes ANOVA, diagnostic, and
        influential-observation tables.

  - Added easy_wilcox() and easy_kruskal() for common non-parametric
    workflows.

  - Added regression figures: easy_regression_diagnostics() and
    easy_odds_ratio_plot().

  - Added comprehensive descriptive statistics: easy_describe() and
    easy_group_summary() with 21 statistics per variable (mean, median,
    mode, SD, variance, skewness, kurtosis, normality test, CI, and
    more).

  - Extended inferential test suite with four new functions:
    
      - easy_chisq(): Chi-square test of independence and
        goodness-of-fit, with Cramér's V effect size.
      - easy_ztest(): One- and two-sample z-tests with Cohen's d.
      - easy_ftest(): Levene-style F-test for equality of variances via
        stats::var.test(), with variance ratio CI.
      - easy_correlation(): Pearson/Spearman/Kendall bivariate and
        pairwise matrix correlation with confidence intervals.

  - New visualization functions (all return easystat_result objects with
    plain-language interpretations):
    
      - easy_histogram(): distribution histogram with normal-curve
        overlay.
      - easy_boxplot(): grouped box-and-whisker plots with outlier
        marking.
      - easy_scatter(): scatter plot with regression line and R-squared
        label.
      - easy_barplot(): count or mean (+/- SE) bar charts with group
        support.
      - easy_qqplot(): Q-Q normality plot.
      - easy_density(): kernel density curve, optionally grouped.
      - easy_correlation_heatmap(): annotated pairwise correlation
        heatmap.
      - easy_autoplot(): smart dispatcher that picks the right plot type
        for a given easystat_result.

  - New theme: theme_easystat() — a professional ggplot2 theme and color
    system applied uniformly across all visualization functions.

  - Word export: export_to_word() creates a fully formatted .docx report
    (via flextable and officer) with title, authors, narrative, and
    tables.

Improvements

  - User-facing p-values now display as percentages rounded to 4 decimal
    places across result tables, plot summaries, and narrative text.
  - Narrative Generator Module expanded with 15 conditional narrative
    templates covering all new test and plot types.
  - All functions return a unified easystat_result S3 object with
    consistent fields: test_type, formula_str, raw_model,
    coefficients_table, model_fit_table, and explanation.
  - HTML Viewer output (print.easystat_result) redesigned with improved
    typography and responsive layout.

                        Changes in version 1.0.0                        

  - Initial release with easy_regression(), easy_ttest(), easy_anova(),
    and basic print() / summary() S3 methods.