Tools for Creating Publication-Ready Regression Tables R package gtregression version 1.0.0 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. Software 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 Rubeshkumar Polani <rubesh@thinkdenominator.com> Comprehensive R Archive Network (CRAN) Rubeshkumar Polani [aut, cre] (ORCID: <https://orcid.org/0000-0002-0418-7592>), Salin K Eliyas [aut] (ORCID: <https://orcid.org/0000-0002-8020-5860>), Manikandanesan Sakthivel [aut] (ORCID: <https://orcid.org/0000-0002-5438-3970>), Yuvaraj Krishnamoorthy [aut] (ORCID: <https://orcid.org/0000-0003-4688-510X>), Marie Gilbert Majella [aut] (ORCID: <https://orcid.org/0000-0003-4036-5162>) MIT + file LICENSE (https://CRAN.R-project.org/package=gtregression/LICENSE) 2025-08-18 application/tgz https://CRAN.R-project.org/package=gtregression doi:10.32614/CRAN.package.gtregression