Package: AF 0.1.5
Elisabeth Dahlqwist
AF: Model-Based Estimation of Confounder-Adjusted Attributable Fractions
Estimates the attributable fraction in different sampling designs adjusted for measured confounders using logistic regression (cross-sectional and case-control designs), conditional logistic regression (matched case-control design), Cox proportional hazard regression (cohort design with time-to- event outcome), gamma-frailty model with a Weibull baseline hazard and instrumental variables analysis. An exploration of the AF with a genetic exposure can be found in the package 'AFheritability' Dahlqwist E et al. (2019) <doi:10.1007/s00439-019-02006-8>.
Authors:
AF_0.1.5.tar.gz
AF_0.1.5.tar.gz(r-4.5-noble)AF_0.1.5.tar.gz(r-4.4-noble)
AF_0.1.5.tgz(r-4.4-emscripten)AF_0.1.5.tgz(r-4.3-emscripten)
AF.pdf |AF.html✨
AF/json (API)
# Install 'AF' in R: |
install.packages('AF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:05fa5acf22. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 27 2024 |
R-4.5-linux | OK | Nov 27 2024 |
Exports:AF.ccAF.chAF.csAFclogitAFcoxphAFglmAFivglmAFparfrailty
Dependencies:ahazdata.tabledrgeeivtoolslatticeMatrixnleqslvnumDerivRcppRcppArmadillostdRegsurvival