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inferstat: Publication-Ready Inferential Statistics and Visualization

Provides publication-ready tools for inferential statistical analyses, assumption checking, effect size estimation, statistical visualizations, and standardized reporting. Methods for assessing normality follow Shapiro and Wilk (1965) <doi:10.1093/biomet/52.3-4.591>, and guidance for standardized effect sizes is informed by Cohen (1988) <doi:10.4324/9780203771587>.

Version: 0.1.1
Depends: R (≥ 4.2.0)
Imports: car, dplyr, ggplot2, rlang
Suggests: covr, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-08-04
DOI: 10.32614/CRAN.package.inferstat
Author: Vinodh Kumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodh Kumar Obli Rajendran <vinodhkumar.rajendran at gmail.com>
BugReports: https://github.com/vinodhpmd/inferstat/issues
License: MIT + file LICENSE
URL: https://github.com/vinodhpmd/inferstat
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: inferstat results

Documentation:

Reference manual: inferstat.html , inferstat.pdf

Downloads:

Package source: inferstat_0.1.1.tar.gz
Windows binaries: r-devel: inferstat_0.1.1.zip, r-release: inferstat_0.1.1.zip, r-oldrel: inferstat_0.1.1.zip
macOS binaries: r-release (arm64): inferstat_0.1.1.tgz, r-oldrel (arm64): inferstat_0.1.1.tgz, r-release (x86_64): inferstat_0.1.1.tgz, r-oldrel (x86_64): inferstat_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=inferstat to link to this page.

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.
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