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gtregression: Tools for Creating Publication-Ready Regression Tables

Simplifies regression modeling in R by integrating multiple modeling and summarization tools into a cohesive, user-friendly interface. Designed to be accessible for researchers, particularly those in Low- and Middle-Income Countries (LMIC). Built upon widely accepted statistical methods, including logistic regression (Hosmer et al. 2013, ISBN:9781118548429), log-binomial regression (Spiegelman and Hertzmark 2005 <doi:10.1093/aje/kwi188>), Poisson and robust Poisson regression (Zou 2004 <doi:10.1093/aje/kwh090>), negative binomial regression (Hilbe 2011, ISBN:9780521179515), and linear regression (Kutner et al. 2005, ISBN:9780071122214). Leverages multiple dependencies to ensure high-quality output and generate reproducible, publication-ready tables in alignment with best practices in epidemiology and applied statistics.

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: dplyr, gtsummary, risks, purrr, MASS, rlang, stats, lmtest, patchwork, ggtext, ggplot2, tidyr, utils, sandwich, tibble, broom, broom.helpers, gt, officer, flextable
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, mlbench, car, forcats, pkgdown
Published: 2025-08-18
DOI: 10.32614/CRAN.package.gtregression
Author: Rubeshkumar Polani ORCID iD [aut, cre], Salin K Eliyas ORCID iD [aut], Manikandanesan Sakthivel ORCID iD [aut], Yuvaraj Krishnamoorthy ORCID iD [aut], Marie Gilbert Majella ORCID iD [aut]
Maintainer: Rubeshkumar Polani <rubesh at thinkdenominator.com>
BugReports: https://github.com/ThinkDenominator/gtregression/issues
License: MIT + file LICENSE
URL: https://thinkdenominator.github.io/gtregression/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: gtregression results

Documentation:

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

Downloads:

Package source: gtregression_1.0.0.tar.gz
Windows binaries: r-devel: gtregression_1.0.0.zip, r-release: gtregression_1.0.0.zip, r-oldrel: gtregression_1.0.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): gtregression_1.0.0.tgz, r-oldrel (x86_64): gtregression_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gtregression 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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