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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.
Getting started
Browse package contents
Package details |
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| Author | 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>) |
| Maintainer | Rubeshkumar Polani <rubesh@thinkdenominator.com> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| URL | https://thinkdenominator.github.io/gtregression/ |
| Package repository | View on CRAN |
| Installation |
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