risks
Estimate Risk Ratios and Risk Differences using Regression
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.
- Version0.4.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release06/13/2023
Documentation
Team
Konrad Stopsack
Travis Gerke
Insights
Last 30 days
This package has been downloaded 234 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,686 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 12, 2024 with 50 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports9 packages
- Suggests7 packages