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
[aut, cre],
Salin K Eliyas
[aut],
Manikandanesan Sakthivel
[aut],
Yuvaraj Krishnamoorthy
[aut],
Marie Gilbert Majella
[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:
Downloads:
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