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risks
View on CRAN: Click
here
Download and install risks package within the R console
Install from CRAN:
install.packages("risks")
Install from Github:
library("remotes")
install_github("cran/risks") Install by package version:
library("remotes")
install_version("risks", "0.4.3") Attach the package and use:
library("risks")
Maintained by
Konrad Stopsack
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-13
Latest Update: 2025-05-30
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,
), log-binomial (Poisson) models with empirical
variance (Zou 2004, ), binomial models with starting
values from Poisson models (Spiegelman and Hertzmark 2005,
), and others.
How to cite:
Konrad Stopsack (2023). risks: Estimate Risk Ratios and Risk Differences using Regression. R package version 0.4.3, https://cran.r-project.org/web/packages/risks. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:51), 0.4.2 (2023-06-13 10:10)
Other packages that cited risks R package
View risks citation profile
Other R packages that risks depends,
imports, suggests or enhances
Complete documentation for risks
Functions, R codes and Examples using
the risks R package
Some associated functions: breastcancer . confint.duplicate . confint.margstd_boot . confint.margstd_delta . confint.robpoisson . conv.test . print.risks . print.summary.risks . riskratio . risks . rr_rd_mantel_haenszel . summary.duplicate . summary.margstd_boot . summary.margstd_delta . summary.risks . summary.robpoisson . tidy.risks .
Some associated R codes: breastcancer.R . caseduplicate.R . estimate_risk.R . glm-utils.R . mantel_haenszel.R . margstd-utils.R . margstd_delta.R . margstd_variable.R . postestimation.R . risks-package.R . risks.R . robpoisson-utils.R . zestimate_risk-utils.R . Full risks package functions and examples
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