EasyStat: Automated Statistical Analysis, Visualization and Multi-Format Narrative Reporting

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'.

Version:	2.0.0
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)
Published:	2026-04-29
DOI:	10.32614/CRAN.package.EasyStat (may not be active yet)
Author:	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)
Maintainer:	Mahesh Divakaran <imaheshdivakaran at gmail.com>
BugReports:	https://github.com/itsmdivakaran/Easystat/issues
License:	MIT + file LICENSE
URL:	https://github.com/itsmdivakaran/Easystat, https://itsmdivakaran.github.io/Easystat/
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	EasyStat results

Documentation:

Reference manual:	EasyStat.html , EasyStat.pdf
Vignettes:	Getting Started with EasyStat (source, R code)

Downloads:

Package source:	EasyStat_2.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): EasyStat_2.0.0.tgz, r-oldrel (arm64): EasyStat_2.0.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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