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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
|
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 |
Reference manual: | gtregression.html , gtregression.pdf |
Vignettes: |
Getting Started with gtregression (source, R code) |
Package source: | gtregression_1.0.0.tar.gz |
Windows binaries: | r-devel: gtregression_1.0.0.zip, r-release: gtregression_1.0.0.zip, r-oldrel: gtregression_1.0.0.zip |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): gtregression_1.0.0.tgz, r-oldrel (x86_64): gtregression_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=gtregression to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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