# statAPA 0.1.0

## Initial CRAN release

### New functions
* `apa_anova()` — Analysis of Variance (ANOVA) / Analysis of Covariance (ANCOVA) table (Type II/III) with eta-squared, partial eta-squared, or omega-squared effect sizes.
* `apa_ancova()` — Dedicated Analysis of Covariance (ANCOVA) wrapper with covariate validation and covariate-adjusted marginal means.
* `apa_twoway_anova()` — Two-way factorial Analysis of Variance (ANOVA) with main effects, interaction, and optional simple effects.
* `apa_manova()` — Multivariate Analysis of Variance (MANOVA) reporting all four multivariate test statistics (Pillai, Wilks, Hotelling-Lawley, Roy).
* `apa_multilevel()` — Multilevel (mixed-effects) model reporting with fixed effects, random effects, intraclass correlation coefficient (ICC), marginal/conditional R-squared, and likelihood ratio model comparison.
* `apa_t_test()` — One-sample, two-sample (Welch and pooled), and paired t-tests with Hedges' g.
* `apa_z_test_mean()` — z-test for means with known population standard deviation(s).
* `apa_chisq()` — Chi-square test (goodness-of-fit or independence) with Cramer's V / phi.
* `apa_prop_test()` — Proportion test (one- or two-sample) with risk difference (RD), risk ratio (RR), and odds ratio (OR).
* `apa_descriptives()` — Descriptive statistics table, optionally stratified by a grouping variable.
* `apa_posthoc()` — Post-hoc pairwise comparisons via estimated marginal means (emmeans).
* `apa_robust()` — Regression table with Heteroscedasticity-Consistent (HC) or cluster-robust standard errors.
* `apa_hetero()` — Heteroscedasticity diagnostics (Breusch-Pagan; Non-Constant Variance (NCV) test).
* `apa_homoskedasticity()` — Homoskedasticity check (Breusch-Pagan, White, Levene/Brown-Forsythe).
* `apa_table()` — General regression / multilevel model coefficient table (lm, glm, lmer, glmer).
* `apa_plot_descriptives()` — Mean ± 95% CI plot by group.
* `apa_plot_regression()` — Fitted-line plot with confidence ribbon.
* `apa_plot_anova()` — Estimated marginal means plot for ANOVA/ANCOVA.
* `apa_plot_residuals()` — Residuals vs Fitted and Normal Q-Q diagnostic plots.
* `apa_resid_plots()` — Convenience wrapper printing both residual diagnostic plots.
* `apa_to_flextable()` — Convert any statAPA result to an APA-styled flextable for Word/PowerPoint.
* `save_apa()` — Save a ggplot figure with APA-friendly defaults (300 dpi, 6.5 × 4.5 in).
* `set_apa_style()` — Set global output style options.
* `theme_apa()` — APA-style ggplot2 theme.
