Automated Statistical Analysis, Visualization and Multi-Format Narrative Reporting R package EasyStat version 2.0.0 Provides automated statistical analysis, rich visualization, and multi-format narrative reporting through a unified pipeline. Descriptive statistics are available via easy_describe() and easy_group_summary(). Inferential tests with plain-language narratives are provided by easy_regression(), easy_logistic_regression(), easy_ttest(), easy_anova(), easy_chisq(), easy_ztest(), easy_ftest(), easy_correlation(), easy_wilcox(), and easy_kruskal(). Publication-ready 'ggplot2' visualizations are produced by easy_histogram(), easy_boxplot(), easy_scatter(), easy_barplot(), easy_qqplot(), easy_density(), easy_correlation_heatmap(), easy_regression_diagnostics(), and easy_odds_ratio_plot(). The core Narrative Generator Module applies conditional logic to extracted p-values, effect sizes, and model-fit metrics to produce statistically sound, human-readable explanations automatically. Results render in the 'RStudio' Viewer (HTML), the console (ASCII), or export directly to Microsoft Word via 'flextable' and 'officer'. Software Depends: R (>= 4.1.0) Imports: broom (>= 1.0.0), glue (>= 1.6.0), ggplot2 (>= 3.4.0), knitr (>= 1.40), kableExtra (>= 1.3.4), htmltools (>= 0.5.0), flextable (>= 0.9.0), officer (>= 0.6.0), stats, utils, tools Suggests: testthat (>= 3.0.0), scales (>= 1.2.0), rmarkdown (>= 2.0) Mahesh Divakaran <imaheshdivakaran@gmail.com> Comprehensive R Archive Network (CRAN) Mahesh Divakaran [aut, cre] (Affiliation: Amity School of Applied Sciences, Amity University Lucknow), Gunjan Singh [aut] (Affiliation: Amity School of Applied Sciences, Amity University Lucknow), Jayadevan Shreedharan [aut] (Affiliation: Gulf Medical University) MIT + file LICENSE (https://CRAN.R-project.org/package=EasyStat/LICENSE) 2026-04-29 application/tgz https://CRAN.R-project.org/package=EasyStat doi:10.32614/CRAN.package.EasyStat en-US