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gtregression  

Tools for Creating Publication-Ready Regression Tables
View on CRAN: Click here


Download and install gtregression package within the R console
Install from CRAN:
install.packages("gtregression")

Install from Github:
library("remotes")
install_github("cran/gtregression")

Install by package version:
library("remotes")
install_version("gtregression", "1.0.0")



Attach the package and use:
library("gtregression")
Maintained by
Rubeshkumar Polani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-08-18
Latest Update: 2025-08-18
Description:
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.
How to cite:
Rubeshkumar Polani (2025). gtregression: Tools for Creating Publication-Ready Regression Tables. R package version 1.0.0, https://cran.r-project.org/web/packages/gtregression. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-08-21 09:30), 1.0.0 (2025-08-18 16:50)
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Complete documentation for gtregression
Functions, R codes and Examples using the gtregression R package
Full gtregression package functions and examples
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