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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.
Version: | 0.4.2 |
Depends: | R (≥ 3.5.0) |
Imports: | boot, bcaboot, broom, dplyr, purrr, rlang, sandwich, stats, tibble, tidyr |
Suggests: | addreg, covr, knitr, logbin, MASS, rmarkdown, testthat |
Published: | 2023-06-13 |
DOI: | 10.32614/CRAN.package.risks |
Author: | Konrad Stopsack |
Maintainer: | Konrad Stopsack <stopsack at post.harvard.edu> |
BugReports: | https://github.com/stopsack/risks/issues |
License: | GPL-3 |
URL: | https://stopsack.github.io/risks/ |
NeedsCompilation: | no |
CRAN checks: | risks results |
Reference manual: | risks.pdf |
Vignettes: |
Marginal standardization Models and model comparisons Introduction to the risks package: Get Started |
Package source: | risks_0.4.2.tar.gz |
Windows binaries: | r-devel: risks_0.4.2.zip, r-release: risks_0.4.2.zip, r-oldrel: risks_0.4.2.zip |
macOS binaries: | r-release (arm64): risks_0.4.2.tgz, r-oldrel (arm64): risks_0.4.2.tgz, r-release (x86_64): risks_0.4.2.tgz, r-oldrel (x86_64): risks_0.4.2.tgz |
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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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