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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.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling source/ R- gtregression_1.0.0.tar.gz 231.1 KiB
1.0.0 rolling linux/jammy R-4.5 gtregression_1.0.0.tar.gz 336.3 KiB
1.0.0 rolling linux/noble R-4.5 gtregression_1.0.0.tar.gz 336.1 KiB
1.0.0 latest source/ R- gtregression_1.0.0.tar.gz 231.1 KiB
1.0.0 latest linux/jammy R-4.5 gtregression_1.0.0.tar.gz 336.3 KiB
1.0.0 latest linux/noble R-4.5 gtregression_1.0.0.tar.gz 336.1 KiB
1.0.0 2026-04-23 source/ R- gtregression_1.0.0.tar.gz 231.1 KiB
1.0.0 2026-04-09 windows/windows R-4.5 gtregression_1.0.0.zip 338.1 KiB

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