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.