Estimate Risk Ratios and Risk Differences using Regression R package risks version 0.4.3 Risk ratios and risk differences are estimated using regression models that allow for binary, categorical, and continuous exposures and confounders. Implemented are marginal standardization after fitting logistic models (g-computation) with delta-method and bootstrap standard errors, Miettinen's case-duplication approach (Schouten et al. 1993, <doi:10.1002/sim.4780121808>), log-binomial (Poisson) models with empirical variance (Zou 2004, <doi:10.1093/aje/kwh090>), binomial models with starting values from Poisson models (Spiegelman and Hertzmark 2005, <doi:10.1093/aje/kwi188>), and others. Software Depends: R (>= 3.5.0) Imports: boot, bcaboot, broom, dplyr, purrr, rlang, sandwich, stats, tibble, tidyr Suggests: addreg, covr, knitr, logbin, MASS, rmarkdown, testthat Konrad Stopsack <stopsack@post.harvard.edu> Comprehensive R Archive Network (CRAN) Konrad Stopsack [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-0722-1311>), Travis Gerke [aut] (ORCID: <https://orcid.org/0000-0002-9500-8907>) GPL-3 2025-05-30 application/tgz https://CRAN.R-project.org/package=risks doi:10.32614/CRAN.package.risks