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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.