Calculates risk differences (or prevalence differences for cross-sectional data) using generalized linear models with automatic link function selection. Provides robust model fitting with fallback methods, support for stratification and adjustment variables, inverse probability of treatment weighting (IPTW) for causal inference, and publication-ready output formatting. Handles model convergence issues gracefully and provides confidence intervals using multiple approaches. Methods are based on approaches described in Mark W. Donoghoe and Ian C. Marschner (2018) "logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model" <doi:10.18637/jss.v086.i09> for robust GLM fitting, Peter C. Austin (2011) "An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies" <doi:10.1080/00273171.2011.568786> for IPTW methods, and standard epidemiological methods for risk difference estimation as described in Kenneth J. Rothman, Sander Greenland and Timothy L. Lash (2008, ISBN:9780781755641) "Modern Epidemiology".
Version: 0.2.1 Depends: R (≥ 3.5.0) Imports: dplyr (≥ 1.0.0), purrr, tibble, rlang, scales, stringr, stats, ggplot2 Suggests: kableExtra, testthat (≥ 3.0.0), knitr, rmarkdown, covr Published: 2025-06-30 DOI: 10.32614/CRAN.package.riskdiff Author: John D. Murphy [aut, cre] (MPH, PhD) Maintainer: John D. Murphy <jackmurphy2351 at gmail.com> BugReports: https://github.com/jackmurphy2351/riskdiff/issues License: MIT + file LICENSE URL: https://github.com/jackmurphy2351/riskdiff NeedsCompilation: no Materials: README NEWS CRAN checks: riskdiff results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=riskdiff to link to this page.
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