https://thinkdenominator.r-universe.devRecent package updates in thinkdenominatorR-universehttps://github.com/thinkdenominator.pnghttps://thinkdenominator.r-universe.devSun, 28 Sep 2025 15:40:30 GMTrubesh@thinkdenominator.com (Rubeshkumar Polani)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.https://github.com/r-universe/thinkdenominator/actions/runs/23636705507Sun, 28 Sep 2025 15:40:30 GMTgtregression1.1.0successhttps://thinkdenominator.r-universe.devhttps://github.com/thinkdenominator/gtregressiongtregression-intro.Rmdgtregression-intro.htmlGetting Started with gtregression2025-05-25 20:03:032025-08-19 19:47:24