Provides a set of exploratory data analysis (EDA) tools for
visualizing trends, diagnosing data types for beginner-friendly workflows,
and automatically routing to suitable statistical tests or trend exploration
models. Includes unified plotting functions for trend lines, grouped boxplots,
and comparative scatterplots; automated statistical testing (e.g., t-test,
Wilcoxon, ANOVA, Kruskal-Wallis, Tukey, Dunn) with optional effect size
calculation; and model-based trend analysis using generalized additive
models (GAM) for count data, generalized linear models (GLM) for continuous
data, and zero-inflated models (ZIP/ZINB) for count data with potential
zero-inflation.
Also supports time-window continuity checks, cross-year
handling in compare_monthly_cases(), and ARIMA-ready preparation with
stationarity diagnostics, ensuring consistent parameter styles for
reproducible research and user-friendly workflows.Methods are
based on R Core Team (2024) < https://www.R-project.org/>,
Wood, S.N.(2017, ISBN:978-1498728331),
Hyndman RJ, Khandakar Y (2008)