_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-risks 0.4.3
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.2.1 r-sandwich@3.1-1 r-rlang@1.1.6 r-purrr@1.0.4 r-dplyr@1.1.4 r-broom@1.0.8 r-boot@1.3-31 r-bcaboot@0.2-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://stopsack.github.io/risks/
Licenses: GPL 3
Synopsis: Estimate Risk Ratios and Risk Differences using Regression
Description:

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.

Total results: 5